Senior Data Analyst- jobs at Tesla - 196 jobs

The CAE Senior Analyst (Safety) will perform Finite Element Analysis (FEA) to solve Crash Structural Safety problems to aid engineering team in the upfront design of automotive, aerospace, entertainment, and industrial segments. This individual will build FEA models and conduct Computer-Aided Engineering (CAE) analysis supported by sound engineering explanation and hand calculations. Responsibilities: Build Safety models for various applications in the automotive, aerospace, and entertainment industries using commercial CAE tools such as LS-Dyna, Radioss, Abaqus Explicit. Run Safety and strength/ durability simulations, postprocess results, and provide engineering solutions. Should be able to work independently on strength or durability attributes using solvers such as Abaqus or Nastran Able to master new CAE tools quickly. Keep abreast of new capabilities in the software. Collaborate with various groups within the CAE department to enhance predictive accuracy and reduce development cycles. Establish and refine simulation methodologies to enhance predictive accuracy and reduce development cycles. Independently execute projects, including direct communication with customers, and develop effective design solutions utilizing CAE tools. Effectively handle multiple projects simultaneously, ensuring timely and high-quality deliverables. Develop innovative techniques or processes to the advancement of the team. Provide technical support to marketing and sales teams to enhance customer engagement and business development efforts. Required qualifications: Bachelor of Science in Mechanical or Aerospace Engineering with coursework in Finite Element Analysis, Strength of Materials, Mechanical behavior of metals. Experience in non-linear explicit complex full vehicle structural FEA modeling, analysis and correlation with test data for some of the test modes. 3+ years of Safety modeling experience in building crash safety FEA models using tools such as ANSA, Hypermesh by accurately discretizing components and sub-systems. Knowledge of mechanical systems, vehicle structure for various impact modes, safety protocols, principles for crash development for various systems. Good attention to detail and ability to use hand calculations and free body diagrams to validate input and results. Ability to communicate verbal and written technical information. Take ownership of the problem and solutions. Excellent problem-solving ability with minimal need for guidance. Take initiative to research solutions when dealing with new problems. Advanced software skills in finite element pre-processors, solvers, and post-processors (Altair Hyperworks, ANSA & META, LS-DYNA). Good verbal, written, and interpersonal communication skills and ability to train and mentor junior analysts. Preferred qualifications: Master of Science or Ph.D. in Mechanical or Aerospace Engineering with coursework in Finite Element Analysis, Strength of Materials, Mechanical behavior of metals. Experience in writing process automation using python, or Excel VBA or C functions. U.S. Citizen or U.S. Permanent Resident allowing for International Traffic in Arms Regulations (ITAR) compliance. Experience working on Occupant Safety models and Development of restraint system. Proficiency in FEA/ fatigue simulation software (Nastran, Abaqus, nCode etc.). Experience with real-world data integration and experimental validation. Strong understanding of some of the Safety protocols such as FMVSS, NCAP, IIHS, EuroNCAP, CFR Part 25. Proven ability to work independently and collaborate with cross-functional teams, and present technical findings to stakeholders. Our Full-Time benefits include medical, dental, vision, life insurance, earned sick time, STD, LTD, 401K, tuition reimbursement, employee referral bonus program, paid vacation, and paid holidays. Roush is an EO employer - Veterans/Disabled and other protected categories. If you need a reasonable accommodation for our employment application process due to disability, please contact Roush Talent Acquisition at ************.

Zoox is seeking an Enterprise Data Governance Analyst to help establish consistent, trusted, and well-managed data across the organization. You will strengthen Zoox's data foundations by ensuring that data is high-quality, well-defined, secure, and usable for engineering, business, and AI/ML teams. In this role, you will: * Maintain and evolve Zoox's Enterprise Business Glossary, ensuring clear definitions, ownership, and alignment across systems and teams * Partner with BizApps, PLM, AI/ML, Safety, and Engineering to validate terms, resolve definition gaps, and maintain semantic consistency * Document business rules, data standards, metadata requirements, and critical data elements to support enterprise governance * Support data quality initiatives by identifying issues, analyzing root causes, and helping define remediation approaches * Contribute to evaluating Zoox's Databricks environment to understand current capabilities and opportunities for governance at scale * Maintain governance documentation, procedures, and workflows while supporting working groups and cross-team communications Qualifications * BS degree in Engineering, Statistics, Data Science, Computer Science, or a related technical field * 4 to 6 years of experience in data management or data governance within a regulated environment * Strong analytical skills with the ability to break down ambiguous problems into structured components * Experience with SQL, Python, Databricks, or similar data analysis tools * Excellent written and verbal communication skills with the ability to translate technical concepts for business stakeholders * Detail-oriented with strong organizational skills and experience managing multiple concurrent tasks Bonus Qualifications * Experience with metadata management, business glossaries, or data catalog tools * Understanding of data quality practices or governance frameworks * Familiarity with enterprise applications such as SAP, PLM, or Salesforce $134,000 - $185,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We are seeking a Staff Data Analyst to join our Data Science and Analytics team, focusing on Vehicle Quality and Reliability. This role is a senior technical leader central to our mission, responsible for defining the strategy and architecting the end-to-end data ecosystem that transforms raw vehicle and manufacturing data into actionable insights and predictive models. From the assembly line to the end of the trail, you will be the principal driver of data solutions that safeguard and enhance Rivian's product quality. On our team, you will be instrumental in defining the next generation of data products that provide unparalleled, real-time insight into the reliability and performance of Rivian products. Rivian aims to set industry standards in quality and reliability, and this starts with the data foundations you will build and govern. Responsibilities Data Architecture & Strategy Ownership: Define, champion, and govern the long-term architectural strategy for critical reliability data pipelines and analytical platforms. Ensure solutions are scalable, secure, and meet enterprise-level standards for data integrity and governance. Complex Solution Engineering & Delivery: Lead the design and implementation of highly optimized, complex ETL/ELT pipelines using Python, Spark (PySpark), and cloud services. Solve deep technical challenges related to high-volume, streaming, and unstructured vehicle telematics data. Advanced Business Intelligence & Data Products: Serve as the principal technical expert for complex data retrieval, modeling, and analysis using advanced SQL and data modeling techniques. Define and mentor best practices for developing and deploying mission-critical technical dashboards and data products (e.g., in Hex, Databricks AIBI). Cross-Functional Tooling & Enablement: Drive the development and standardization of scalable analytical applications and internal data self-service tools that significantly improve operational efficiency and data literacy across Engineering and Quality teams. Mentor junior team members on application development standards. Analytical Leadership & Problem Definition: Autonomously investigate, scope, and resolve the most ambiguous and high-impact data problems related to vehicle performance and quality. Lead initial phases of predictive modeling initiatives, defining data features and collaborating closely with Data Scientists to transition prototypes to production. Mentorship & Code Governance: Establish and enforce code quality, data modeling standards, and deployment best practices (CI/CD) within the team. Act as a technical mentor and subject matter expert for junior and mid-level analysts and engineers. Qualifications Deep Experience & Expertise: Typically 6+ years of progressive experience in Data Engineering, Data Analysis, or a related field, demonstrating a sustained track record of leading and delivering complex data solutions. Architectural & System Thinking: Proven ability to translate broad organizational challenges into well-defined, scalable technical roadmaps and data architectures. Technical Mastery: Expert proficiency in SQL and Python, including deep experience with the PySpark/Spark ecosystem for large-scale data processing. Mastery of data manipulation libraries (e.g., pandas) and experience with distributed computing paradigms. Platform Expertise: Extensive experience with modern cloud data platforms (e.g., Databricks, AWS/GCP/Azure data services). Experience with workflow orchestration tools (e.g., Airflow, Prefect). Code & Collaboration Standards: Expert level proficiency with Git and best practices for code collaboration, review, and deployment. Education: A Bachelor's or Master's degree in a quantitative or technical field (e.g., Computer Science, Data Science, Electrical/Mechanical Engineering, Math, Statistics). Pay Disclosure Salary Range/Hourly Rate for California Based Applicants: $149,7000-$187,100 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Deep Experience & Expertise: Typically 6+ years of progressive experience in Data Engineering, Data Analysis, or a related field, demonstrating a sustained track record of leading and delivering complex data solutions. Architectural & System Thinking: Proven ability to translate broad organizational challenges into well-defined, scalable technical roadmaps and data architectures. Technical Mastery: Expert proficiency in SQL and Python, including deep experience with the PySpark/Spark ecosystem for large-scale data processing. Mastery of data manipulation libraries (e.g., pandas) and experience with distributed computing paradigms. Platform Expertise: Extensive experience with modern cloud data platforms (e.g., Databricks, AWS/GCP/Azure data services). Experience with workflow orchestration tools (e.g., Airflow, Prefect). Code & Collaboration Standards: Expert level proficiency with Git and best practices for code collaboration, review, and deployment. Education: A Bachelor's or Master's degree in a quantitative or technical field (e.g., Computer Science, Data Science, Electrical/Mechanical Engineering, Math, Statistics). Data Architecture & Strategy Ownership: Define, champion, and govern the long-term architectural strategy for critical reliability data pipelines and analytical platforms. Ensure solutions are scalable, secure, and meet enterprise-level standards for data integrity and governance. Complex Solution Engineering & Delivery: Lead the design and implementation of highly optimized, complex ETL/ELT pipelines using Python, Spark (PySpark), and cloud services. Solve deep technical challenges related to high-volume, streaming, and unstructured vehicle telematics data. Advanced Business Intelligence & Data Products: Serve as the principal technical expert for complex data retrieval, modeling, and analysis using advanced SQL and data modeling techniques. Define and mentor best practices for developing and deploying mission-critical technical dashboards and data products (e.g., in Hex, Databricks AIBI). Cross-Functional Tooling & Enablement: Drive the development and standardization of scalable analytical applications and internal data self-service tools that significantly improve operational efficiency and data literacy across Engineering and Quality teams. Mentor junior team members on application development standards. Analytical Leadership & Problem Definition: Autonomously investigate, scope, and resolve the most ambiguous and high-impact data problems related to vehicle performance and quality. Lead initial phases of predictive modeling initiatives, defining data features and collaborating closely with Data Scientists to transition prototypes to production. Mentorship & Code Governance: Establish and enforce code quality, data modeling standards, and deployment best practices (CI/CD) within the team. Act as a technical mentor and subject matter expert for junior and mid-level analysts and engineers.

Aufgaben Mercedes-Benz: Building Exceptional Vehicles… and Careers! The best chapters in Alabama's automotive success story are yet to come. The Mercedes-Benz automobile of the future will be different; greener, more efficient, safer, and even more fascinating. Only one thing will never change - It will wear a star. The vehicles we manufacture are the finished results of our skilled workforce, and we're hiring even more. We are looking for Specialists and Team Members to join us in crafting a wide variety of vehicles from the Mercedes-Maybach GLS SUV to our all-electric electric vehicle, the EQS SUV and EQE SUV. Our Tuscaloosa County site is home to the production of Mercedes' luxury SUV models, including electric vehicles. Just down the road in Bibb County, MBUSI has launched the production of high-performance lithium-ion batteries. Our two campuses are among the most advanced automotive manufacturing facilities in the world, with over 6 million square feet combined. MBUSI offers an excellent total rewards package including competitive compensation, health and life insurance, 401(k) matching program and defined contribution retirement plan, annual bonuses, tuition assistance, and paid holidays. Further on-site MBUSI resources such as childcare, medical center and fitness center are available for all to utilize. Our Team Members share a common goal to be the best luxury auto manufacturer in North America. MBUSI is committed to excellence and actively promotes positive team culture, teamwork, safety, quality, and continuous improvement. Mercedes-Benz, U.S. International, Inc. takes pride in being an Equal Employment Opportunities workplace. Mercedes-Benz U.S. International, Inc. is committed to equal opportunity regardless of race, age, ethnic origin, and any other characteristics classified under applicable Local and Federal laws. All qualified candidates are encouraged to apply for the opportunity to join us in electrifying the future! Purpose of the Position: Under general supervision, this position will serve as the primary lead for continuous evaluation and evolution of the HCM systems to help define and drive the overall HRIS roadmap and internal contact for the HCM systems and supervises the data processing function for the Human Relations Department in adherence to the Data Protection Act. Essential Functions: Serves as the primary lead for collecting and analyzing sensitive data to improve human resource strategies and processes to increase the functional productivity of the department Automates, integrate, and configure human resource core processes by suggesting ways to increase the functional productivity and workflow of the HR department Act as HR lead for system implementation, including testing and configuration, security administration, que/report writing, and coordination and management of cross-functional teams within departments Coordination with Information Technology and the user community to identify areas of improvement and implement solutions for existing systems Manage requests for process improvements, system enhancements and development of new applications in alignment with the department strategic initiatives Acts as a resource and guide for managers as it relates to HR data and positions Ensures the highest level of accuracy for data entered into HR data systems to ensure successful data audits Audits data entry and database changes in HCM on a regular basis to review data accuracy and compliance Developing, documenting and maintaining all current and new HRIS process workflows for efficiency and compliance Supports HR staff by providing HR metrics for monthly, quarterly, and annual meetings Create standard or ad-hoc reports from HCM system for end users to ensure compliance with local, state, and federal reporting guidelines Assists with the support of all aspects of Human Relations as it relates to data requests, including but not limited to data availability, feasibility of requests, and technical support Adheres to organizational and department-specific safety, confidentiality, values, policies, and standards. Serves as the primary lead for collecting and analyzing sensitive data to improve human resource strategies and processes to increase the functional productivity of the department Automates, integrate, and configure human resouce core processes by suggesting ways to increase the functional productivity and workflow of the HR department Act as HR lead for system implementation, including testing and configuration, security administration, quey/report writing, and coordination and management of cross-functional teams within departments Coordination with Information Technology and the user community to identify areas of improvement and implement solutions for existing systems Manage requests for process improvements, system enhancements and development of new applications in alignment with the department strategic initiatives Acts as a resource and guide for managers as it relates to HR data and positions Ensures the highest level of accuracy for data entered into HR data systems to ensure successful data audits Audits data entry and database changes in HCM on a regular basis to review data accuracy and compliance Developing, documenting and maintaining all current and new HRIS process workflows for efficiency and compliance Supports HR staff by providing HR metrics for monthly, quarterly, and annual meetings Create standard or ad-hoc reports from HCM system for end users to ensure compliance with local, state, and federal reporting guidelines Assists with the support of all aspects of Human Relations as it relates to data requests, including but not limited to data availability, feasibility of requests, and technical support Adheres to organizational and department-specific safety, confidentiality, values, policies, and standards. Qualifikationen QUALIFICATIONS: Education, Experience and Necessary Skills all must be met in order to qualify for position. Education: Bachelor's degree in Business Administration, Human Resources, Computer Science/Computer Engineering, Information Technology, or in a related area, and/or the equivalent combination of education and experience. Experience: A minimum of three (3) years' of relevant professional experience in the following area(s): Data analysis, digitization processes and reporting Necessary Skills, Certifications, etc.: Must have working knowledge of HRIS and/or Data Warehouse Advanced statistical and predictive analytics Advanced knowlege of statistical programming languages (R, Python, SQL) Experience with Machine Learning and AI Experience developing and working with robotic process automation (RPA) tools Proficiency in Microsoft Office (i.e. Excel, PowerPoint) Good communication (verbal and written) skills, both with management and with other departments. Ability to work in an interdisciplinary team, work as team player. Problem analysis and problem solution. Project Management and organizational skills Preferred Skills: PHR or SHRM certified

Zoox is seeking an Enterprise Data Governance Analyst to help establish consistent, trusted, and well-managed data across the organization. You will strengthen Zoox's data foundations by ensuring that data is high-quality, well-defined, secure, and usable for engineering, business, and AI/ML teams.In this role, you will: Maintain and evolve Zoox's Enterprise Business Glossary, ensuring clear definitions, ownership, and alignment across systems and teams Partner with BizApps, PLM, AI/ML, Safety, and Engineering to validate terms, resolve definition gaps, and maintain semantic consistency Document business rules, data standards, metadata requirements, and critical data elements to support enterprise governance Support data quality initiatives by identifying issues, analyzing root causes, and helping define remediation approaches Contribute to evaluating Zoox's Databricks environment to understand current capabilities and opportunities for governance at scale Maintain governance documentation, procedures, and workflows while supporting working groups and cross-team communications Qualifications BS degree in Engineering, Statistics, Data Science, Computer Science, or a related technical field 4 to 6 years of experience in data management or data governance within a regulated environment Strong analytical skills with the ability to break down ambiguous problems into structured components Experience with SQL, Python, Databricks, or similar data analysis tools Excellent written and verbal communication skills with the ability to translate technical concepts for business stakeholders Detail-oriented with strong organizational skills and experience managing multiple concurrent tasks Bonus Qualifications Experience with metadata management, business glossaries, or data catalog tools Understanding of data quality practices or governance frameworks Familiarity with enterprise applications such as SAP, PLM, or Salesforce About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

About GM There's never been a more exciting time to work at General Motors. To achieve our vision of Zero Crashes, Zero Emissions, and Zero Congestion, we need people who are passionate about creating safer, smarter, and more sustainable mobility solutions. About Product Safety Data Analytics (PSDA) Product Safety Data Analytics (PSDA) is a core part of GM's safety ecosystem. PSDA supports safety decision-making by identifying potential emerging vehicle safety issues through the analysis, mining, and monitoring of large volumes of structured and unstructured data. The team works across customer complaints, engineering data, crash and field reports, vehicle telemetry, surveys, and research data to detect trends, assess risk, and deliver decision-ready insights to safety, engineering, and leadership stakeholders. The Role The Product Safety Data Analyst supports Global Vehicle Safety and related organizations by executing rigorous, unbiased data analyses that inform safety investigations and decisions. This role is primarily focused on data extraction, preparation, analysis, visualization, and communication. The analyst works closely with safety engineers, statisticians, and analytics partners to ensure analyses are accurate, timely, and clearly presented. What You'll Do (Responsibilities) * Pull, prepare, and analyze large volumes of structured and unstructured safety data * Support safety investigations through statistically sound analyses and exploratory data work * Apply appropriate statistical methods to assess trends, risk, potential failure behavior, and anomalies * Create clear, unbiased visualizations and summaries that accurately reflect the data * Translate complex analytical findings into understandable insights for non-technical audiences * Present results in written and visual formats to technical teams and leadership * Collaborate with Safety, Engineering, Quality, and IT partners on cross-functional work * Balance recurring sustaining analytics with ad-hoc data pulls and rapid-turn analyses What You'll Do (Responsibilities) * Consult on data and analytics needs for safety investigations * Perform statistical analyses using established methods and best practices * Ensure analytical work is accurate, reproducible, and unbiased * Build and maintain queries and datasets across multiple data sources * Develop charts, dashboards, and visual summaries for ongoing monitoring and investigations * Communicate assumptions, limitations, and results clearly and professionally * Manage multiple concurrent requests in a fast-paced, ambiguous environment Yours Skills & Abilities (Required Qualifications): * 3+ years of post-graduation experience in analytics, statistics, or a related field * Bachelor's degree in applied Statistics, Mathematics, Actuarial Science, or a related discipline * Working knowledge of statistical techniques, including: * Time series analysis * Categorical data analysis * Multivariate analysis * Logistic regression * Linear and non-linear modeling * Outlier assessment / anomaly detection * Strong proficiency in data visualization and charting * Experience analyzing text or unstructured data using text mining, machine learning, or similar methods * Proficiency with one or more programming or query languages (e.g., SQL, Python, R) * Experience with data preparation, cleaning, rationalization, and processing * Ability to independently manage a high-volume workload * Comfortable working in ambiguity and responding to unplanned requests * Strong written and verbal communication skills * Demonstrated continuous-learning mindset Tools & Technical Experience (one or more preferred) * Data & Query: SQL; Databricks * Programming: Python; PySpark (preferred) * Analytics & BI: Power BI, Tableau; Excel What Can Give You a Competitive Edge (Preferred Qualifications): * Experience working with vehicle diagnostics, telemetry, or connected-vehicle data * Familiarity with interpreting diagnostic signals, fault codes, and time-series vehicle data in an analytics or safety context * Working knowledge of vehicle safety systems, vehicle components, and field performance * AI / ML proficiency: Ability to leverage AI tools to accelerate data analysis, apply basic machine-learning models when appropriate, and clearly interpret and communicate results while maintaining data quality and risk awareness * Master's degree in Applied Statistics, Mathematics, Actuarial Science, or a related field #LI-KE2 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits. The position is subject to export control restrictions and requires the successful candidate to be either a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) or a non-U.S. Person who is eligible to obtain any required export control authorization. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**About GM** There's never been a more exciting time to work at General Motors. To achieve our vision of Zero Crashes, Zero Emissions, and Zero Congestion, we need people who are passionate about creating safer, smarter, and more sustainable mobility solutions. **About Product Safety Data Analytics (PSDA)** Product Safety Data Analytics (PSDA) is a core part of GM's safety ecosystem. PSDA supports safety decision-making by identifying potential emerging vehicle safety issues through the analysis, mining, and monitoring of large volumes of structured and unstructured data. The team works across customer complaints, engineering data, crash and field reports, vehicle telemetry, surveys, and research data to detect trends, assess risk, and deliver decision-ready insights to safety, engineering, and leadership stakeholders. **The Role** The Product Safety Data Analyst supports Global Vehicle Safety and related organizations by executing rigorous, unbiased data analyses that inform safety investigations and decisions. This role is primarily focused on data extraction, preparation, analysis, visualization, and communication. The analyst works closely with safety engineers, statisticians, and analytics partners to ensure analyses are accurate, timely, and clearly presented. **What You'll Do (Responsibilities)** + Pull, prepare, and analyze large volumes of structured and unstructured safety data + Support safety investigations through statistically sound analyses and exploratory data work + Apply appropriate statistical methods to assess trends, risk, potential failure behavior, and anomalies + Create clear, unbiased visualizations and summaries that accurately reflect the data + Translate complex analytical findings into understandable insights for non-technical audiences + Present results in written and visual formats to technical teams and leadership + Collaborate with Safety, Engineering, Quality, and IT partners on cross-functional work + Balance recurring sustaining analytics with ad-hoc data pulls and rapid-turn analyses **What You'll Do (Responsibilities)** + Consult on data and analytics needs for safety investigations + Perform statistical analyses using established methods and best practices + Ensure analytical work is accurate, reproducible, and unbiased + Build and maintain queries and datasets across multiple data sources + Develop charts, dashboards, and visual summaries for ongoing monitoring and investigations + Communicate assumptions, limitations, and results clearly and professionally + Manage multiple concurrent requests in a fast-paced, ambiguous environment **Yours Skills & Abilities (Required Qualifications):** + 3+ years of post-graduation experience in analytics, statistics, or a related field + Bachelor's degree in applied Statistics, Mathematics, Actuarial Science, or a related discipline + Working knowledge of statistical techniques, including: + Time series analysis + Categorical data analysis + Multivariate analysis + Logistic regression + Linear and non-linear modeling + Outlier assessment / anomaly detection + Strong proficiency in data visualization and charting + Experience analyzing text or unstructured data using text mining, machine learning, or similar methods + Proficiency with one or more programming or query languages (e.g., SQL, Python, R) + Experience with data preparation, cleaning, rationalization, and processing + Ability to independently manage a high-volume workload + Comfortable working in ambiguity and responding to unplanned requests + Strong written and verbal communication skills + Demonstrated continuous-learning mindset **Tools & Technical Experience (one or more preferred)** + Data & Query: SQL; Databricks + Programming: Python; PySpark (preferred) + Analytics & BI: Power BI, Tableau; Excel **What Can Give You a Competitive Edge (Preferred Qualifications):** + Experience working with vehicle diagnostics, telemetry, or connected-vehicle data + Familiarity with interpreting diagnostic signals, fault codes, and time-series vehicle data in an analytics or safety context + Working knowledge of vehicle safety systems, vehicle components, and field performance + AI / ML proficiency: Ability to leverage AI tools to accelerate data analysis, apply basic machine-learning models when appropriate, and clearly interpret and communicate results while maintaining data quality and risk awareness + Master's degree in Applied Statistics, Mathematics, Actuarial Science, or a related field \#LI-KE2 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits. The position is subject to export control restrictions and requires the successful candidate to be either a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) or a non-U.S. Person who is eligible to obtain any required export control authorization. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Autocar, LLC headquartered in Birmingham, AL, a manufacturer of severe-duty vocational trucks carrying the first specialized truck brand in North America, is the only American-owned and operated original equipment manufacturer (OEM) of trucks. Autocar's severe-duty vocational trucks provide customers with the perfect tool for their jobs with the most uptime, support, and impact on their bottom line. Autocar collaborates with customers to build trucks to their exact specifications and needs. Autocar's purpose-built severe-duty refuse truck lines include the Class 6-8 ACMD cabover, Class 8 ACX cabover and the DC-64 Class 8 conventional cab. Autocar recognizes that performance and uptime are everything and offers every customer 24/7 access to its ALWAYS UP direct factory support center staffed by expert technicians who engineer and build Autocar's trucks. Autocar promises to provide trucks that deliver the best value, provide the best service, and provide a complete solution for customers' needs. Summary: We are seeking a Sales Business Data Analyst with a passion for both data and business. In this role, you will empower smarter sales and marketing decisions by turning complex data into clear, actionable insights. You will leverage your technical expertise to integrate and enrich data from multiple sources, become a subject matter expert in the heavy-duty truck industry, work closely with the Sales team to identify strategic opportunities, and deliver standardized outputs that directly support the sales process. The ideal candidate thinks innovatively, embraces new approaches, and can rapidly prototype while also building long-term, scalable solutions. You combine data and analytical expertise with sales acumen to translate insights into strategic business outcomes and are adept at using modern AI tools to accelerate analysis and research. Key Responsibilities: Proactively find and evaluate new data sources (such as email addresses, company websites, fiscal year, etc.) to be integrated within the Sales & Marketing data lake. Take ownership in collaboration with the Data team to enhance the Sales & Marketing data lake, ensuring new and derived data sources are accurately catalogued and continuously performing data matching and enrichment. Use data-wrangling techniques and tools to deliver targeted, actionable datasets for Sales and Marketing teams. Serve as a data steward for customer data by validating data accuracy, collaborating with cross-functional teams to enforce data quality controls and ensuring compliance with privacy regulations and company policies. Translate complex datasets into clear, actionable insights by leading development of reports, dashboards, and creating presentations that support data-driven decisions across Sales & Marketing. Collaborate with the Data Science team on the design and training of machine learning models, including scoring models that identify and prioritize the most promising sales leads. Requirements Education: Bachelor's degree in a relevant field (e.g., Data Analytics, Statistics, Computer Science, Economics, or related). Experience: 3+ years of experience with Python or R for data wrangling and analysis; expertise in querying, joining, and transforming large datasets with data quality practices (e.g., matching, deduplication, enrichment). 3+ years of experience collaborating with Sales, Marketing, or other business stakeholders to align data solutions with strategic and operational objectives. Skills: Strong analytical and problem-solving skills, with the ability to translate data into clear, actionable recommendations. Familiarity with cloud-based storage platforms such as Azure Data Lake, AWS S3, or equivalent. Working knowledge of AI tools (e.g., ChatGPT, Copilot, OpenAI APIs) to enhance research, analysis, and efficiency. Experience with CRM systems (e.g., Salesforce, Zoho) and marketing platforms (e.g., Marketo, ZoomInfo) a plus. Ability to work independently and in collaboration within a fast-paced environment. Industry experience in automotive, heavy-duty truck, or manufacturing is preferred. Work Environment: Ex. Office setting Physical Requirements: While performing the duties of this job it is required to stand, walk, use hands, and reach with hands or arms when necessary for job activity. Ability to sit, stand, and/or walk for extended periods. Capable of meeting OSHA standards for manual lifting guidelines: < 50lbs Legal and Compliance Statements At-Will Employment: This does not create a contract of employment, nor does it alter the at-will employment relationship. Employment with the company is voluntary and may be terminated at will by either the employee or the company, with or without cause, and with or without notice. Job Duties Disclaimer: The duties and responsibilities outlined here are representative but not exhaustive of the tasks that the employee may be required to perform. Management reserves the right to modify, add, or remove duties and to assign other tasks as necessary to meet business needs. Equal Employment Opportunity: Autocar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law. Compliance with Laws and Policies: The employee must adhere to all federal, state, and local employment laws and regulations, as well as all company policies and procedures. Reasonable Accommodations (ADA Compliance): Autocar complies with the Americans with Disabilities Act (ADA) and provides reasonable accommodations to qualified individuals with disabilities. Employees who require assistance or accommodations should contact Human Resources. Confidentiality and Data Protection: Employees are expected to maintain the confidentiality of sensitive information and comply with company policies regarding data protection and proprietary information, in accordance with applicable laws. Non-Exhaustive List of Duties: This job description is not intended to be an exhaustive list of all responsibilities or qualifications associated with the position.

Business Data Analyst - Turbo and Thermal Technologies (TTT) 3800 Automation Ave, Auburn Hills, MI 48326 About us BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions for the vehicle market. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work, and amazing technology in a unique environment. At BorgWarner we constantly work towards our vision of a clean and energy-efficient world. Our Culture BorgWarner promotes and nurtures a diverse and inclusive environment, honors integrity, strives for excellence, commits to responsibility for our communities and the environment, and builds on the power of collaboration. We believe the health and safety of our employees are a top priority. Career Opportunities We manage talent as seriously as we manage our businesses and encourage you to learn about our proud history, strong culture, technologies, and vision for the future. We offer positions locally and globally with over 80 locations in 19 countries. If this position energizes you and you feel you can help us achieve our mission and vision, you are invited to submit an application for consideration. You may see the list of requirements and feel you do not meet all of them. However, remember that BorgWarner thinks differently. If your qualifications align with the majority of those outlined in this job description, we encourage you to apply and share your experience and skills with us. Job Purpose We are looking for a data-driven and automation-focused Financial Analyst to support our automotive operations with advanced financial insights and process optimization. Primarily, this role will play a key part in transforming traditional finance workflows by leveraging automation tools and analytics to drive efficiency, accuracy, and strategic decision-making across the organization. Secondarily, the role will be responsible for the overall financial management (balance sheet and income statement) of the TTT RU591. The position will be located at the BorgWarner Propulsion Technical Center (PTC) and reports to the Finance Director; the incumbent will interact with a wide range of financial and operational personnel within TTT and at the Corporate office. Key Responsibilities * Analyze financial data to support budgeting, forecasting and strategic planning * Develop and maintain financial models and dashboards using tools like Excel, Power BI or Tableau * Identify and implement automation opportunities in financial reporting, forecast, and month-end close processes using Power Automate/Microsoft Flow, Python or R for data transformation and analysis, SQL for querying ERP systems and VBA for Excel-based automation * Collaborate with cross-functional team to improve data accuracy, reporting timelines, and workflow efficiency * Design and implement KPIs and performance metrics to monitor financial health and operational effectiveness * Drive continuous improvement in month-end closing, forecasting, and reporting processes * Lead initiatives to digitize and standardize financial processes across multiple manufacturing sites * Global oversight for all PTC financial reporting * Other projects as assigned Education/Qualifications * Bachelor's Degree * 3+ years of experience * Strongly prefer previous experience in the automotive industry * Microsoft Certifications preferred Relevant Experience * Strong Excel skills including pivot tables, macros, VBA * Proficiency in automation and data tools (e.g., Power BI, Power Query, Python, SQL) * Experience with ERP Systems (SAP) * Excellent communication and collaboration skills across technical and non-technical teams * Strong understanding of cost accounting, standard costing, and variance analysis in a manufacturing environment * Experience with Lean Six Sigma or continue improvement methodologies preferred Key Competencies * Highly motivated and action oriented * Self-starter and self-learner * Strong time management and multi-tasking skills * Prioritize among multiple assignments and indirect reporting responsibilities * Willing to work more than 40-hour week as required * Fast learner * Ability to interpret input received from different functions * Take initiative to complete challenging assignments, participate in teams and foster their progress, and create opportunities for improvement in key business processes * Consider and seek out the impact of his/her actions within the team. Actively seek collaboration with internal and external team members * Complete special assignments as required Customer Focus - Is dedicated to meeting the expectations and requirements of internal and external customers; Gets first-hand customer information and uses it for improvements in products and services; Acts with customers in mind; Establishes and maintains effective relationships with customers and gains their trust and respect. Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions; Probes all fruitful sources for answers; Can see hidden problems; Is excellent at honest analysis; Looks beyond the obvious and doesn't stop at the first answers. Functional Technical Skills - Has the functional knowledge and skill to do the job at a high level of accomplishment. Creativity - Comes up with a lot of new and unique ideas; Easily makes connections among previously unrelated notions; Tends to be seen as original and value-added in brainstorming sessions. Interpersonal Savvy - Relates to all kinds of people- up, down, and sideways, inside and outside the organization; Builds appropriate rapport; Builds constructive and effective relationships; Uses diplomacy and tact; Can diffuse even high-tension situations comfortably. Safety This position will adhere to Global Star Safety Program, including safety rules, practices and training as outlined in the BorgWarner PTC Safety Policy Manual, which includes the use of equipment, protective devices, or clothing that the employer requires. This individual will work in manners that stress the importance of preventing accidents and illnesses. He/she must take every precaution reasonable in the given circumstance for the protection of themselves and coworkers. In addition, he/she is responsible for reporting all injuries and/or possible dangerous situations, incidents, or occurrences to the immediate supervisor. Visa Sponsorship BorgWarner does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work in the United States on a full-time basis. No Unauthorized Referrals from Recruiters & Vendors Please note that BorgWarner and any of its affiliated companies does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to BorgWarner will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received. Join the company that is creating solutions that support a cleaner, more energy-efficient world. For more information about BorgWarner, please visit ****************** Salary Range: $80,800 - $111,100 Internal Use Only: Salary Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Career Scam Disclaimer: BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner's website to verify the authenticity of any employment opportunities.

Business Data Analyst - Turbo and Thermal Technologies (TTT) 3800 Automation Ave, Auburn Hills, MI 48326 About us BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions for the vehicle market. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work, and amazing technology in a unique environment. At BorgWarner we constantly work towards our vision of a clean and energy-efficient world. Our Culture BorgWarner promotes and nurtures a diverse and inclusive environment, honors integrity, strives for excellence, commits to responsibility for our communities and the environment, and builds on the power of collaboration. We believe the health and safety of our employees are a top priority. Career Opportunities We manage talent as seriously as we manage our businesses and encourage you to learn about our proud history, strong culture, technologies, and vision for the future. We offer positions locally and globally with over 80 locations in 19 countries. If this position energizes you and you feel you can help us achieve our mission and vision, you are invited to submit an application for consideration. You may see the list of requirements and feel you do not meet all of them. However, remember that BorgWarner thinks differently. If your qualifications align with the majority of those outlined in this job description, we encourage you to apply and share your experience and skills with us. Job Purpose We are looking for a data-driven and automation-focused Financial Analyst to support our automotive operations with advanced financial insights and process optimization. Primarily, this role will play a key part in transforming traditional finance workflows by leveraging automation tools and analytics to drive efficiency, accuracy, and strategic decision-making across the organization. Secondarily, the role will be responsible for the overall financial management (balance sheet and income statement) of the TTT RU591. The position will be located at the BorgWarner Propulsion Technical Center (PTC) and reports to the Finance Director; the incumbent will interact with a wide range of financial and operational personnel within TTT and at the Corporate office. Key Responsibilities • Analyze financial data to support budgeting, forecasting and strategic planning • Develop and maintain financial models and dashboards using tools like Excel, Power BI or Tableau • Identify and implement automation opportunities in financial reporting, forecast, and month-end close processes using Power Automate/Microsoft Flow, Python or R for data transformation and analysis, SQL for querying ERP systems and VBA for Excel-based automation • Collaborate with cross-functional team to improve data accuracy, reporting timelines, and workflow efficiency • Design and implement KPIs and performance metrics to monitor financial health and operational effectiveness • Drive continuous improvement in month-end closing, forecasting, and reporting processes • Lead initiatives to digitize and standardize financial processes across multiple manufacturing sites • Global oversight for all PTC financial reporting • Other projects as assigned Education/Qualifications • Bachelor's Degree • 3+ years of experience • Strongly prefer previous experience in the automotive industry • Microsoft Certifications preferred Relevant Experience • Strong Excel skills including pivot tables, macros, VBA • Proficiency in automation and data tools (e.g., Power BI, Power Query, Python, SQL) • Experience with ERP Systems (SAP) • Excellent communication and collaboration skills across technical and non-technical teams • Strong understanding of cost accounting, standard costing, and variance analysis in a manufacturing environment • Experience with Lean Six Sigma or continue improvement methodologies preferred Key Competencies • Highly motivated and action oriented • Self-starter and self-learner • Strong time management and multi-tasking skills • Prioritize among multiple assignments and indirect reporting responsibilities • Willing to work more than 40-hour week as required • Fast learner • Ability to interpret input received from different functions • Take initiative to complete challenging assignments, participate in teams and foster their progress, and create opportunities for improvement in key business processes • Consider and seek out the impact of his/her actions within the team. Actively seek collaboration with internal and external team members • Complete special assignments as required Customer Focus - Is dedicated to meeting the expectations and requirements of internal and external customers; Gets first-hand customer information and uses it for improvements in products and services; Acts with customers in mind; Establishes and maintains effective relationships with customers and gains their trust and respect. Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions; Probes all fruitful sources for answers; Can see hidden problems; Is excellent at honest analysis; Looks beyond the obvious and doesn't stop at the first answers. Functional Technical Skills - Has the functional knowledge and skill to do the job at a high level of accomplishment. Creativity - Comes up with a lot of new and unique ideas; Easily makes connections among previously unrelated notions; Tends to be seen as original and value-added in brainstorming sessions. Interpersonal Savvy - Relates to all kinds of people- up, down, and sideways, inside and outside the organization; Builds appropriate rapport; Builds constructive and effective relationships; Uses diplomacy and tact; Can diffuse even high-tension situations comfortably. Safety This position will adhere to Global Star Safety Program, including safety rules, practices and training as outlined in the BorgWarner PTC Safety Policy Manual, which includes the use of equipment, protective devices, or clothing that the employer requires. This individual will work in manners that stress the importance of preventing accidents and illnesses. He/she must take every precaution reasonable in the given circumstance for the protection of themselves and coworkers. In addition, he/she is responsible for reporting all injuries and/or possible dangerous situations, incidents, or occurrences to the immediate supervisor. Visa Sponsorship BorgWarner does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work in the United States on a full-time basis. No Unauthorized Referrals from Recruiters & Vendors Please note that BorgWarner and any of its affiliated companies does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to BorgWarner will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received. Join the company that is creating solutions that support a cleaner, more energy-efficient world. For more information about BorgWarner, please visit ****************** Salary Range: $80,800 - $111,100Internal Use Only: Salary Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Career Scam Disclaimer: BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner's website to verify the authenticity of any employment opportunities.

Abacus is currently seeking a Data Analyst to join our team comprised of creative and energetic employees, who are dedicated to delivering the best customer service experience every day. **This is an on-site role in Houston, TX to support close collaboration and effective teamwork with our in-office team. The Data Analyst is focused on improving operational efficiency through systems administration, business process development, and data reporting. This role supports the Data & Analytics team in maintaining the integrity of core systems, building repeatable processes, and delivering timely and accurate reporting to key stakeholders across departments. The analyst will work closely with cross-functional teams, especially Finance, Operations, and IT, to support data initiatives, streamline workflows, and optimize the use of internal systems. By enhancing data operations and process efficiency, this role enables more data-informed decision making and helps drive sustainable business growth. This role focuses on platform support, process improvement, reporting, and user training for systems such as ServiceTitan, DOMO, CRM/ERP platforms, MS Power Platform Tools, and data reporting tools. What's In It For Me? Market Value Compensation - $58,000-64,000 + Bonus PTO Plan Health, Vision and Dental plans for you and your family to choose from 401K Retirement Plan with company match up to 30% Life Insurance, Short-Term and Long-Term Disability Special Program Options: FSA, EPA, Legal Services and Identity Theft Continuous Training for your Professional Development Working in a dynamic, collaborative, and fun environment Coached and supported career growth Responsibilities 1. Systems Administration Support administrative functions in platforms such as (ServiceTitan, DOMO, CRM/ERP, MS Power Platform Tools, reporting tools). Manage user access, permissions, and basic configurations Document system processes, changes, and best practices Assist with testing and validation during system changes or updates 2. Process Design & Implementation Analyze and document existing workflows; recommend and support the rollout of improvements Collaborate with business users to map out new processes or enhancements Maintain clear documentation of business processes, decision flows, and data dependencies Monitor process performance and support process audits as needed 3. Reporting & Analytics Create and maintain scheduled reports and dashboards to support operational and financial teams Partner with analysts and managers to define KPIs and track business performance Perform ad hoc analysis to support team or leadership requests Conduct data validation and ensure consistency across sources 4. Cross-Functional Collaboration Work closely with Finance, Operations, IT, and other departments to align systems and reporting needs Participate in project teams supporting systems, reporting, or process initiatives Serve as a resource for end users needing support with systems or reports Qualifications Do I Have What It Takes? Bachelor's degree in Information Systems, Business Analytics, Computer Science, or related field (preferred) 3-5 years of experience in systems administration, business applications, or data operations General understanding of data management best practices, including how to keep data accurate, consistent, and well-organized across systems Background in home services, field operations, or finance-driven environments (preferred) Collaborative mindset with ability to work effectively across teams. Strong attention to detail and ability to document processes clearly. Excellent communication skills with a focus on user support and training. Wrench Group and its affiliates are proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, genetic information, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The company encourages all qualified candidates who are eligible to work in the United States to apply, but it does not sponsor applicants or employees who require a visa to work legally.

The Quality team is currently seeking a solutions-oriented Quality Data Analyst to join the Quality team at the Detroit Assembly Plant, Mack in Detroit, MI. The Quality Data Analyst is responsible for supporting in the identification of warranty issues from the field and clearly defining the problem or issue. The Quality Analyst will research warranty data for issue identification, and document and communicate appropriate communications to the responsible support teams. They will work with Engineering and assembly plant personnel to track issue resolution and ensure effective containment and permanent corrective actions are established. Specific Responsibilities include but are not limited to: Analyze warranty claim data Perform analysis of warranty data to identify trends, emerging issues, and focus areas Fast Track parts to appropriate locations to provide samples and/or examples of the condition under investigation in order to demonstrate the issue Research issues using available tools Create appropriate documentation (Transmittals/GIMs) that very clearly describe the vehicle issue that the customer experiences Provide additional information to the individuals assigned to understand and resolve the issue Maintain Transmittal updates based on input from the Engineers assigned to issue resolution Assure all criteria are met for Transmittal closure Chart data as required to define an issue to demonstrate progress of the team Participate in processes consistent with issue resolution management and closure Achieve KPI's established Communicate with dealers to better understand vehicle issues and dealer repair actions Strong interpersonal skills with ability to work in a team environment Represent the "Voice of the Customer" to the platform teams Interface with other areas of Quality as well as Engineering through the performance of ad-hoc analysis

Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform. Job Title: Data Analyst 2 (Hybrid- onsite Monday-Thursday) Location: US-GA-Atlanta (Sandy Springs) FLSA: Exempt #LI-Hybrid Job Overview: The Data Analyst II performs intermediate-level data analysis, report development, and data validation tasks. This role partners with business users and data engineers to translate data requirements into actionable insights and visualizations. Job Responsibilities: Develop, enhance, and maintain data reports and dashboards Write SQL queries to extract, transform, and analyze data Perform data profiling and quality checks to support governance objectives Work with business teams to define key metrics and reporting needs Collaborate with data engineers to improve data pipelines and data models Interpret and communicate data trends and patterns to stakeholders Support documentation of data logic and business definitions The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities. Job Requirements: Bachelor's degree in Information Systems, Computer Science, or related field; Equivalent combination of education and experience might be considered. 2 to 5 years in data analysis or data governance DAMA Certified Data Management Professional (CDMP) Associate Certification Preferred Proficiency in SQL, Excel, and reporting tools (e.g., Power BI, Tableau) Understanding of data governance principles Basic knowledge of data security and privacy Working knowledge of data modeling concepts and data lifecycle Strong analytical and critical thinking skills Effective written and verbal communication skills Company Benefits: Medical, Dental, and Vision Insurance Flexible Spending Account Health Savings Account 401(k) Plan with Company Match Company-paid Short-Term and Long-Term Disability Company-paid Life Insurance Paid Holidays and Vacation Employee Referral Program Employee Assistance Program Wellness Programs Paid Community Service Opportunities Tuition Reimbursement Ongoing Training & Personal Development And More! About Safe-Guard Products International: Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard's success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada. For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service. Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.

Job Schedule: Hybrid 4 days week Onsite Education Requirement: Bachelor's Degree Sponsorship: No Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation We are currently looking for a Senior Data Analyst to join our team in Franklin, TN. The Analytics Products Team is looking for a driven and collaborative Senior Data Analyst to lead key data analytics initiatives that support our business strategy. This role is ideal for someone who thrives on solving complex data challenges, improving data quality, and partnering across teams to deliver impactful insights. If you're passionate about turning data into decisions and want to grow your career in a high-impact environment, we'd love to hear from you. A Day in the Life: * Lead development of analytics products to support business needs of Marketing & Sales, Finance and other business units * Analyze internal and third-party data to uncover trends, gaps, and opportunities * Profile, clean, standardize, and enrich datasets in collaboration with data stewards * Build business process and data flow diagrams to support analytics and operational efficiency * Identify process improvement opportunities and support agile product development * Present insights and recommendations to internal stakeholders and external partners Minimum Qualifications * Strong analytical, presentation and strategic thinking skills * Must be able to multi-task, adjust to changes in processes and priorities, and independently and effectively plan their work; experience working in agile teams * 6+ years of experience in data analysis (automotive industry preferred) * Advanced SQL skills and proficiency in Python * Strong understanding of data models, database design, and statistical analysis * Excellent negotiation and cross-functional skills are required to effectively balance priorities from various functional groups * Strong understanding of data models, database design, and statistical analysis * Understanding of financial statements, vPipe, VINPipe, SAP, HOST and 3rd party data (Urban Science, J.D. Power, Polk, etc.) is highly desirable * Bachelor's or Master's degree in Computer Science, Data Science, or related field Nice to Have * Previous experience in Marketing & Sales, Program Management or Finance * Experience with AWS, familiarity with data governance frameworks and tools * Project management experience What You'll Look Forward to at Nissan: Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you'll have the support to tackle challenges and contribute to impactful solutions across our organization. Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide. Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws. It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility. NISSAN FOR EVERYONE People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique needs of our employees and customer base. Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees - with shared characteristics or interests - build allies, and foster a company culture where all employees feel supported and included. Nissan also values inclusion in all areas of our business as we strive to mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products. Join us as we carry our commitment to diversity and inclusion into the future. Franklin Tennessee United States of America

The Digital Experience team at Penske is seeking a Marketing Data Analyst to help develop and maintain mathematical models . A successful Marketing Data develops and maintains the statistical modeling, analysis and reporting across various projects as assigned by the supervisor as well as supports the monthly close processes and financial projections. The position will require the ability to query data using SQL, design, develop and implement reports using Excel, Tableau or QlikView, develop models and simulations using Excel or Python, and perform statistical analysis to identify opportunities for the business. This position is located at our Corporate offices in a beautiful country setting 7 miles South of Reading, PA which is a convenient commute with ample free and easy parking. Work Location: 2675 Morgantown Rd Reading, Pennsylvania **Major Responsibilities:** - Build and deliver reports, models and data analysis - Develop and maintain reporting systems and visualization toolsets to illustrate monthly trends, outliers, variances - Develop and maintain statistical algorithms and systems to proactively monitor financial performance - Articulate analytical findings and share insights - Advance the program by incorporating complementary systems, such as Connected Fleet - Pull and analyze data for Ad-Hoc requests - Other projects as assigned by the Manager **Qualifications:** - At least 3 years data analytics experience required - At least 3 years of business or operational experience preferred - Bachelors in Engineering, Mathematics, Statistics, or Data Science/Analytics preferred - Strong analytical skills required - Independent problem solving skills required - Strong oral and written communication skills required - Advanced use of Microsoft Excel and Access required - Proficiency in the use of Microsoft Outlook, Word, and PowerPoint required - SQL and Visual Basic programming preferred - Process mapping experience preferred - Data mining and report tool (experience Qlikview, Green Plum, Business Objects, etc.) plus - Quality program certification (Six Sigma, ISO, LEAN, etc.) plus - Regular, predictable, full attendance is an essential function of the job - Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. **Physical Requirements:** -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. **About Penske Truck Leasing/Transportation Solutions** Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Job Category: Administrative Job Family: General Administration Address: 100 Gundy Drive Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID: 2513732

The Digital Experience team at Penske is seeking a Marketing Data Analyst to help develop and maintain mathematical models . A successful Marketing Data develops and maintains the statistical modeling, analysis and reporting across various projects as assigned by the supervisor as well as supports the monthly close processes and financial projections. The position will require the ability to query data using SQL, design, develop and implement reports using Excel, Tableau or QlikView, develop models and simulations using Excel or Python, and perform statistical analysis to identify opportunities for the business. This position is located at our Corporate offices in a beautiful country setting 7 miles South of Reading, PA which is a convenient commute with ample free and easy parking. Work Location: 2675 Morgantown Rd Reading, Pennsylvania Major Responsibilities: • Build and deliver reports, models and data analysis • Develop and maintain reporting systems and visualization toolsets to illustrate monthly trends, outliers, variances • Develop and maintain statistical algorithms and systems to proactively monitor financial performance • Articulate analytical findings and share insights • Advance the program by incorporating complementary systems, such as Connected Fleet • Pull and analyze data for Ad-Hoc requests • Other projects as assigned by the Manager Qualifications: • At least 3 years data analytics experience required • At least 3 years of business or operational experience preferred • Bachelors in Engineering, Mathematics, Statistics, or Data Science/Analytics preferred • Strong analytical skills required • Independent problem solving skills required • Strong oral and written communication skills required • Advanced use of Microsoft Excel and Access required • Proficiency in the use of Microsoft Outlook, Word, and PowerPoint required • SQL and Visual Basic programming preferred • Process mapping experience preferred • Data mining and report tool (experience Qlikview, Green Plum, Business Objects, etc.) plus • Quality program certification (Six Sigma, ISO, LEAN, etc.) plus • Regular, predictable, full attendance is an essential function of the job • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer.

Responsibilities Hexagon's Asset Lifecycle Intelligence division is looking for a Senior Enterprise Data Analyst to join the enterprise data team. The individual will collaborate closely within the agile enterprise data team and with internal stakeholders across the organization to understand the business objectives, determine how data can be leveraged to inform the objectives, identify and analyze necessary data, and create reporting and visualizations. The end goal is to produce clear and compelling information that drives business decisions and improvement in areas such as revenue generation, operational efficiency and customer satisfaction. The primary technologies used are ThoughtSpot connected to Snowflake. The individual should be a self-starter, able to operate under limited supervision, and a problem solver. It is critical for this role to take the initiative to learn and understand the business domain, the necessary stakeholders and their points of view. The individual must be a team player as part of cross-functional team of data engineers, data analysts and product management. The individual will also interact with other data science and analytics teams throughout the organization. The individual will do regular demos of functionality and lead working sessions with product management and end users. The individual will interface directly with various internal stakeholders and will provide quick resolution to critical support issues. Originality, ingenuity, independent judgment and a reasonable degree of self-direction and decision-making are highly desired. Responsibilities • Work with internal stakeholders to understand business objectives and propose ways enterprise data can help facilitate those objectives. • Identify and analyze data, create reporting layer, and develop actionable data insights and visualizations. • Work with the ThoughtSpot vendor to resolve open issues, understand new product features and how they can be utilized to solve business problems. Education / Qualifications • Experience in understanding business problems and creating compelling analytics from enterprise data to drive business decisions • Experience with enterprise data warehouse and analytics solutions, as well as visualization technologies • Experience with some SQL language • Experience validating the quality of data and metrics • Strong communication, critical thinking, and problem-solving skills • Self-starter that can work a project independently Preferred • Experience with ThoughtSpot or other self-service analytics tools • Experience consuming data from Snowflake or other cloud data warehouse • Experience with Salesforce.com and other cloud technologies Education Bachelor's degree in MIS, Computer Science, Data Science, Mathematics, or another related field is required. #LI-KK1 #LI-Remote About Hexagon Hexagon is the global leader in enterprise software, empowering organizations to build a safer, more sustainable and efficient future. We transform complex data into actionable insights that drive smarter decisions, modernize operations and accelerate digital maturity across industries that matter most - public safety, defense, transportation, government, industrial facilities and physical security. Hexagon (Nasdaq Stockholm: HEXA B) has approximately 24,800 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at hexagon.com. Why work for Hexagon? At Hexagon, if you can see it, you can do it. Hexagon puts their trust in you so that you can bring your ideas to life. We have emerged as one of the most engaged and enabled workplaces*. We are committed to creating an environment that is truly supportive by providing the resources you need to fully support your ambitions, no matter who you are or where you are in the world. * In the recently concluded workplace effectiveness survey by Korn Ferry, a global HR advisory firm, Hexagon, has emerged as one of the most Engaged and Enabled workplaces, when compared to similar organizations that Korn Ferry partners with. Everyone is welcome At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome-as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all. Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here.

The Automotive Warranty Claim Data Lead is a critical role responsible for driving data informed decisions across the organization by leading the collection, analysis, and reporting of automotive warranty claim data. This position will lead efforts to identify emerging quality issues, forecast warranty costs, and provide actionable insights to Engineering, Quality, Service, and Finance teams to improve product reliability and minimize warranty expenditure. The Data Lead will also be responsible for the integrity and strategic use of the core warranty database. Key Responsibilities: Data Strategy & Analytics Leadership: Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost trends. Spearhead deep-dive analysis on complex warranty datasets to uncover root causes of product failures, identify anomalies, and detect potential over repair Develop and manage the overall data governance strategy for the warranty claims database, Palantir/MAP, to ensure data accuracy, consistency, and reliability across all reporting and analytical platforms. Design, build, and maintain intuitive data dashboards and Key Performance Indicators (KPIs) to monitor group warranty goals, claim trends/broken clean points, and product reliability for all relevant stakeholders. Reporting & Cross-Functional Collaboration: Prepare and present regular, comprehensive reports on warranty performance, cost drivers, and key findings to senior management, including executive-level summaries. Collaborate cross-functionally with Quality, Engineering, Manufacturing, and Service teams to translate data insights into concrete product or process improvements. Provide actionable intelligence to the Technical Service team, enabling faster resolution of recurring and high-cost failure modes in the field. Support the Finance and Accounting departments with accurate warranty cost accruals, budget forecasting, and financial reporting based on data-driven projections. Process & System Improvement: Identify opportunities to leverage advanced technologies, such as Machine Learning or AI, to enhance data mining, claims validation, and root cause analysis processes. Act as the subject matter expert and system administrator for key warranty and data platforms (e.g., Global Warranty Management System, BI tools, data warehouses). Champion continuous process improvement within the warranty data workflow, seeking to automate data pipelines and streamline reporting to improve efficiency. Ensure all data handling and reporting complies with company policies, legal requirements, and industry standards.

Our growing company is seeking to hire a SIOP Data Analyst located at our Byron Center, Michigan location. Founded in 1945, MEC is a manufacturer that provides a broad range of Metal Fabrication, Tube Bending, Machining, Welding, Coating, Prototyping, and Value-Added Assembly services to a variety of markets including Commercial Vehicle, Power Sports & Recreational Vehicles, Agriculture, Construction & Forestry, Military, Mining, Automotive, and Power Generation. We continue to have an aggressive growth plan, operating 24 manufacturing facilities which are strategically located near our customers. **Pay range for this position is $65 - $75k ** Responsibilities Compile actual sales and forecast data to support business decisions around sales, capacity, and material planning. Prepare capacity analyses to support decisions around capital expenditure and production readiness planning across sites Prepare material forecast and inventory plan Develop and Pilot new metrics for SIOP and Variance reporting for SIOP Involve collaboration and communication with peers in multiple departments. Develop programs using, advance experience with MS Office Suite: Power Query, Pivot Tables, Macros, Visual Basics etc. Ability to capture, develop and analyze large amounts of data and error proofing work. Ability to travel Qualifications EDUCATION and/or EXPERIENCE Excellent data analysis skills, ideally including background knowledge of statistical forecasting software with a desire to understand the data to drive solutions. COMMUNICATION/LANGUAGE SKILLS Strong written and oral communication skills; required to communicate effectively with various levels of staff and departments. MATHEMATICAL/ANALYTICAL SKILLS Advanced math skills to perform calculations; Analytics to process data and factor all relevant demand details; Statistical data experience preferred. Highly detail oriented. COMPUTER SKILLS Strong computer acumen requires ability to work in multiple ERP systems. WORK ENVIRONMENT High energy and able to prioritize and multitask in fast paced and rapidly changing environment; resourcefulness and advanced problem-solving abilities required.