Data Analyst jobs at Ford Motor - 439 jobs

... The position will be responsible for data integration, quality management, and optimization to ensure efficient and reliable data operations. We are seeking a highly skilled and dedicated Data Analyst to join our team, focusing on the Global Access Control System and related security technologies. This position is increasingly vital due to the growing complexity and interconnectedness of Ford's security technology ecosystem. This critical role has evolved to require specialized expertise in data integration, quality management, and optimization to ensure efficient and reliable data operations across our global infrastructure. As a key contributor, you will play a pivotal role in enhancing our security posture through advanced data analysis and system integration. The increasing number of requests for complex integrations highlights the specialized technical expertise required for both design and application development, as well as the ongoing management of these critical security systems. We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? What you'll do... * Complex System Integrations: Collaborate with cross-functional teams and manage integrations, primarily the Ford enterprise badging system, and integrate data with business systems using various tools (Alteryx, SSIS, Kafka, Actian Dataconnect, etc.). * Specialized Technical Expertise: SME in application design and development related to security systems, ensuring seamless communication and functionality across platforms. * Ongoing Management and Support: Responsible for the continuous operation, maintenance, data profiling, and troubleshooting of integrated security systems. * Data Analysis: Provides analysis of data from integrated systems to optimize performance, identify trends, and enhance security posture. * Data Integrity: Define and implement data quality management rules and workflows and ensure adherence to data governance and security best practices. What you'll do... * Complex System Integrations: Collaborate with cross-functional teams and manage integrations, primarily the Ford enterprise badging system, and integrate data with business systems using various tools (Alteryx, SSIS, Kafka, Actian Dataconnect, etc.). * Specialized Technical Expertise: SME in application design and development related to security systems, ensuring seamless communication and functionality across platforms. * Ongoing Management and Support: Responsible for the continuous operation, maintenance, data profiling, and troubleshooting of integrated security systems. * Data Analysis: Provides analysis of data from integrated systems to optimize performance, identify trends, and enhance security posture. * Data Integrity: Define and implement data quality management rules and workflows and ensure adherence to data governance and security best practices.

We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end‑to‑end system behavior. In this role, you will… Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end‑to‑end system behavior. Create and maintain datasets used to evaluate the perception stack and end‑to‑end driving performance. Analyze large‑scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership. Design and implement statistical methods to quantify uncertainty in our performance and validation metrics. Qualifications Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field. Proficient using data query languages (SQL and/or Spark/scala) to build complex, efficient data queries at scale and using Python to build production‑quality code. Basic experience with autonomous driving, safety‑critical systems, or computer vision systems. Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business. Background in statistical modeling and analysis; experience making data‑driven decisions that connect point and uncertainty estimates to business impact. Bonus Qualifications Skilled at using AI tools to improve development efficiency and quality. Experience with experiment design and statistical comparisons (A/B testing, parametric/non‑parametric statistics, etc.). Experience analyzing geospatial data. $167,000 - $228,000 a year 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. Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. 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. #J-18808-Ljbffr

A tech company specializing in autonomous vehicles is seeking a Data Team member to build and enhance geospatial data pipelines. Responsibilities include integrating diverse geospatial datasets and collaborating with various teams to prioritize roadmaps and investments in data-driven decision-making. The ideal candidate holds a relevant degree and has experience in geospatial analysis, Python, and SQL. This position offers competitive compensation ranging from $176,000 to $212,000 yearly along with comprehensive benefits. #J-18808-Ljbffr

The Data team turns autonomous vehicle and operational data into insights that measure autonomy and service readiness at Zoox. In this role, you'll partner with AI, simulation, and mission assurance teams to drive improvements, guide development, and identify high-impact opportunities toward autonomy. You'll help define how geospatial data and metrics are used across the company, enabling Zoox to scale in a data‑driven way while working with one of the industry's most unique autonomous vehicle datasets. In this role, you will: Build data pipelines of geospatial features Integrate internal and external geospatial data to enhance our datasets Collaborate with multiple teams to prioritize roadmap on map features Identify key areas of investments for our geospatial datasets and features Qualifications Bachelor's, Master's or PhD in CS, statistics, mathematics or relevant fields Experience with map data and geospatial data analysis Fluency in Python or Scala Familiarity with SQL Experience with Spark or large‑scale data analysis Experience designing metrics, building mechanisms to fuel business insights, and driving decision‑making at various levels in an organization Bonus Qualifications Experience with Geospatial Information System (GIS), knowledge of earth systems and geospatial sciences Basic fluency in C++ $176,000 - $212,000 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. Benefits: 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. Accommodations If 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. #J-18808-Ljbffr

As an Autonomy Data Scientist, you analyze how the self-driving system performs across a wide range of real-world scenarios. Your work focuses on understanding disengagements, success rates, and other key metrics to assess system behavior, diagnose issues, and track progress over time. These insights are critical for guiding engineering decisions and operational strategy. By delivering clear, data-driven evaluations of autonomy performance, you help Zoox prioritize improvements, measure readiness, and accelerate safe and scalable deployment. In this role, you will Analyze autonomy performance metrics such as disengagements, success rates, and scenario outcomes to assess system readiness Identify trends, anomalies, and failure modes using large-scale driving data Translate data insights into actionable recommendations that guide engineering priorities and improve system behavior Partner closely with autonomy, safety, and operations teams to align on success criteria and validate improvements Help shape Zoox's strategy for safe and scalable deployment by ensuring autonomy decisions are grounded in rigorous analysis Qualifications Experience driving decision-making at various levels in an organization Familiarity with SQL, Python, R, or Scala Proven ability to define metrics and build scalable analysis pipelines to evaluate complex systems Strong communication skills with the ability to translate technical findings into actionable insights Bonus Qualifications Experience with geospatial data analysis Experience with Spark or large-scale data analysis Familiarity with or exposure to experimentation platforms Experience working with autonomous vehicles, robotics, or transportation systems Compensation There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $169,000 to $203,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. 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. #J-18808-Ljbffr

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 ************.

The Senior NVH & Durability Analyst will perform Finite Element Analysis (FEA) to solve Noise, Vibration & Harshness (NVH) and durability problems to aid engineering in the upfront design of vehicle, aerospace, and amusement park ride structures. The Senior NVH & Durability Analyst will build FEA models and conduct Computer-Aided Engineering (CAE) analysis supported by sound engineering explanation and hand calculations. This position is located in Livonia, MI. Responsibilities: Build FEA models for various applications in the automotive, aerospace, and industrial segments using commercial software (MSC-NASTRAN, ABAQUS, and ANSYS Mechanical). Conduct CAE analysis independently using CAE tools. Support analysis with sound engineering explanation and hand calculations. Review results with lead engineer or supervisor and share with the customer. Recommend alternative analysis approaches and design solutions to meet the functional targets. Interface with customer to complete tasks with a high level of quality while meeting timelines. Contribute to existing and develop new analyses capability as part of continuous improvement. Maintain pertinent information in assigned location and perform data cleanup. Interact confidently and professionally with stakeholders at all levels. Learn different computer-aided engineering software packages quickly. Minimum Requirements: Bachelor of Science in Mechanical Engineering. Minimum 5 years of CAE (Computer-Aided Engineering) experience. Experience in modal, point mobility, and acoustic analysis. Experience in strength, stiffness and stress (including thermal) in linear and nonlinear (material and contact) domains. Experience in size, shape, and other optimization analysis using optimization tools. Strong fundamental knowledge in strength of materials and failure theory for metals and composites and vibration concepts. Strong aptitude in modeling and simulation with ability to solve engineering problems. Good understanding of kinematics, static, and dynamics. Advanced software skills in finite element pre-processors, solvers, and post-processors (Altair Hyperworks, ANSA & META, NASTRAN, ABAQUS, OPTISTRUCT, ANSYS, nCode) and Finite Element Method Fatigue (FEMFAT). Good verbal and written communication skills. Preferred Requirements: Master of Science in Mechanical Engineering specializing in structural dynamics and mechanics, Finite Element Analysis (FEA), or fatigue theory, noise and vibration, and 3 years of Computer-Aided Engineering (CAE) experience. Experience in advanced simulation tools such as Simcenter Amesim, and application in autonomous and electric vehicles. Experience with full vehicle ‘CAE to Test' correlation. Experience with performance optimization and trade-off evaluations for multi-body systems. Experience with suspension and powertrain integration into vehicles using CAE techniques. AI (Artificial Intelligence) and Machining Learning skills. Our Full-Time benefits include medical, dental, vision, life insurance, earned sick time, STD, LTD, 401K, tuition reimbursement, employee referral bonuses, 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 ************.

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.

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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 (hybrid- Monday- Thursday) Location: US-GA-Atlanta (Sandy Springs)- Must Be Located in Atlanta Metro area FLSA : Exempt #LI-Hybrid Job Overview : As a Data Analyst, you will be responsible for a wide variety of analytical tasks. This includes but is not limited to: gathering data from different systems using complex SQL queries, creating enterprise data models, developing cutting edge BI reporting, working with business partners to identify new analytical projects, providing in-depth analysis that bridges the gap between data and business decisions, and providing regular updates to stakeholders. This role will be responsible for supporting the highest priority initiatives at the company. Job Responsibilities: Provide technical analysis to support business decision making across claims, sales, and other business lines. Work in coordination with data engineers to develop ETL processes to take data from across different systems and bring them into centralized data models. Build enterprise-wide reports using Power BI, Tableau, and other BI tools. Develop scalable infrastructure to distribute reports to external facing clients. 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: B.S. in mathematics, computer science, statistics, engineering, or equivalent. M.S. in mathematics, computer science, statistics, engineering, or equivalent (preferred). Expert proficiency in SQL and Python. Familiarity with Power BI, Tableau, or equivalent BI tools. Strong 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.

We are seeking a highly motivated Entry Level Data Analyst to join our team. As an Entry Level Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to help our clients make informed decisions. You will work closely with our team of data scientists and engineers to identify trends, patterns, and insights from data, and present them in a clear and concise manner. Key Responsibilities: - Collect, clean, and organize large datasets from various sources - Use statistical methods to analyze data and identify trends, patterns, and insights - Create data visualizations and reports to present findings to clients - Collaborate with team members to develop and implement data-driven strategies - Continuously monitor and improve data quality and accuracy - Stay up-to-date with industry trends and advancements in data analytics Requirements: - Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field - Strong analytical and problem-solving skills - Proficiency in SQL and data visualization tools (e.g. Tableau, Power BI) - Knowledge of statistical analysis and data mining techniques - Excellent communication and presentation skills - Ability to work in a fast-paced and dynamic environment - Attention to detail and ability to handle multiple tasks simultaneously Why work with us? - Opportunity to work with cutting-edge technologies and tools - Collaborative and supportive work environment - Competitive salary and benefits package - Professional development and growth opportunities - Chance to make a real impact and contribute to the success of our clients If you are passionate about data and have a strong desire to learn and grow in the field of data analytics, we would love to hear from you.

We are seeking a highly motivated Entry Level Data Analyst to join our team. As an Entry Level Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to help our clients make informed decisions. You will work closely with our team of data scientists and engineers to identify trends, patterns, and insights from data, and present them in a clear and concise manner. Key Responsibilities: - Collect, clean, and organize large datasets from various sources - Use statistical methods to analyze data and identify trends, patterns, and insights - Create data visualizations and reports to present findings to clients - Collaborate with team members to develop and implement data-driven strategies - Continuously monitor and improve data quality and accuracy - Stay up-to-date with industry trends and advancements in data analytics Requirements: - Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field - Strong analytical and problem-solving skills - Proficiency in SQL and data visualization tools (e.g. Tableau, Power BI) - Knowledge of statistical analysis and data mining techniques - Excellent communication and presentation skills - Ability to work in a fast-paced and dynamic environment - Attention to detail and ability to handle multiple tasks simultaneously Why work with us? - Opportunity to work with cutting-edge technologies and tools - Collaborative and supportive work environment - Competitive salary and benefits package - Professional development and growth opportunities - Chance to make a real impact and contribute to the success of our clients If you are passionate about data and have a strong desire to learn and grow in the field of data analytics, we would love to hear from you.

**Hybrid:** This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week. **Who You Are:** As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors' development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research. **What You Do:** + Develop connected vehicle data analytics applications for safety, infotainment, and traffic efficiency + Develop and implement new vehicular data analytics applications and services in prototyping systems + Evaluate and analyze the developed protocols, systems and application services either via extensive simulations or via empirical experimental measurements + Participate in government-funded research work, such as the USDOT collaboration projects + Document research work through internal and external publications + Facilitate technology transfer via active participation in cross-functional teams **What You Need:** **U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens.** + Master's degree in computer science or electrical engineering or civil engineering + Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber-physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas + Strong theoretical, experimental or software programming skills **What Would be Even Better:** + PhD degree in a related area + Hands-on experience building empirical systems to develop connected vehicular data analytics systems + Hands-on experience with cloud and edge computing + Hands-on experience with AI/ML data analytics for engineering applications + Demonstrates leadership in field of study, extra-curricular activities, or service organizations 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. **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.

Hybrid: This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week. Who You Are: As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors' development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research. What You Do: Develop connected vehicle data analytics applications for safety, infotainment, and traffic efficiency Develop and implement new vehicular data analytics applications and services in prototyping systems Evaluate and analyze the developed protocols, systems and application services either via extensive simulations or via empirical experimental measurements Participate in government-funded research work, such as the USDOT collaboration projects Document research work through internal and external publications Facilitate technology transfer via active participation in cross-functional teams What You Need: U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens. Master's degree in computer science or electrical engineering or civil engineering Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber-physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas Strong theoretical, experimental or software programming skills What Would be Even Better: PhD degree in a related area Hands-on experience building empirical systems to develop connected vehicular data analytics systems Hands-on experience with cloud and edge computing Hands-on experience with AI/ML data analytics for engineering applications Demonstrates leadership in field of study, extra-curricular activities, or service organizations 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. 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.

Vehicle System Data Analytics Intern - ASUX Aptiv is a global technology company that develops safer, greener, and more connected solutions for the automotive industry. We're at the forefront of driving innovation in mobility, working with leading automakers to shape the future of transportation. If you're passionate about cutting-edge technology and want to help create the future of mobility, Aptiv is the place for you. Your Role As a Vehicle System Data Analytics Intern at Aptiv, you'll play a key role in analyzing complex data generated by advanced safety systems, autonomous vehicle features, and user experience technologies. You'll work closely with our engineering and data science teams to derive meaningful insights from large datasets that help optimize vehicle performance, enhance safety features, and improve user experiences. This is an exciting opportunity for someone who is passionate about data, technology, and the future of mobility. What You'll Do: * Analyze large datasets collected from vehicle systems, including ADAS (Advanced Driver Assistance Systems), sensor data, and user interactions, to identify patterns, trends, and opportunities for improvement. * Support the development of data models, algorithms, and visualizations to help engineers better understand system performance and safety outcomes. * Collaborate with cross-functional teams to translate data insights into actionable improvements for vehicle safety and user experience systems. * Assist in building automated reporting tools to provide real-time data insights for vehicle testing and validation. * Perform data cleaning, preprocessing, and validation to ensure data accuracy and reliability. * Help identify and troubleshoot system inefficiencies or issues by interpreting data from testing and real-world driving conditions. * Present findings and recommendations to engineering teams, contributing to the continuous improvement of Aptiv's advanced vehicle systems. What You'll Need: * Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Electrical Engineering, or a related field. * Proficiency in data analysis tools such as Python, R, MATLAB, or similar platforms. * Familiarity with data visualization tools like Power BI, Tableau, or similar. * Passion for working with complex datasets and turning data into actionable insights. * Understanding of automotive systems and interest in advanced safety and user experience technologies is a plus. * Strong problem-solving skills with an analytical mindset and attention to detail. * Excellent communication skills and the ability to work effectively in a collaborative, fast-paced environment. What's In It For You: * Hands-on experience analyzing real-world data from cutting-edge automotive technologies, including advanced safety systems and user experience features. * Exposure to the latest data analytics methodologies and tools used to optimize vehicle performance and safety. * Mentorship from industry professionals who are leading innovation in the automotive sector. * The opportunity to work on impactful projects that directly contribute to the future of connected, autonomous vehicles. * A dynamic, inclusive work environment where your ideas and contributions are valued. Why join us? * You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs. * You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents. * You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package. Your Benefits at Aptiv: * Holiday Paid Time Off * Relocation assistance may be available * Discount programs with various manufacturers and retailers * Muti-discipline experience in an Automotive product design and manufacturing major supplier * Meaningful work that makes a difference in the world * Learning and development opportunities * Opportunities to give back to the community Apply today, and together let's change tomorrow! Privacy Notice - Active Candidates: ****************************************************** Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

Job Description Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Duration: 12 weeks (summer 2026) Location: Torrance, CA (onsite) Purpose We're looking for an enthusiastic student to help turn raw factory data into actionable insights for our simulation and decision support tools. The Role Instrument and capture structured data from production systems Assist with model calibration and parameter estimation for our discrete event simulation Prototype visual dashboards and reporting tools (Python, Excel) Document data workflows and contribute to tool‑design discussions Basic Qualifications Ability to lawfully access information and technology that is subject to US export controls Undergraduate or first‑year master's in Industrial Engineering, Systems Engineering, Operations Research, or Data Science Coursework or projects in process modeling, optimization, or simulation Comfortable with Python (pandas, matplotlib, SimPy optional) and Excel Curious about manufacturing operations and how data supports decisions Pay Range$38-$45 USD What We Offer: Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions. Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time. Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind. Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance. Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint. Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. EEO Poster In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected. E-Verify: Right to Work Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate's eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees. Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish) Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records. No agencies, no solicitations, and no calls please.

Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Duration: 12 weeks (summer 2026) Location: Torrance, CA (onsite) Purpose We're looking for an enthusiastic student to help turn raw factory data into actionable insights for our simulation and decision support tools. The Role * Instrument and capture structured data from production systems * Assist with model calibration and parameter estimation for our discrete event simulation * Prototype visual dashboards and reporting tools (Python, Excel) * Document data workflows and contribute to tool‑design discussions Basic Qualifications * Ability to lawfully access information and technology that is subject to US export controls * Undergraduate or first‑year master's in Industrial Engineering, Systems Engineering, Operations Research, or Data Science * Coursework or projects in process modeling, optimization, or simulation * Comfortable with Python (pandas, matplotlib, SimPy optional) and Excel * Curious about manufacturing operations and how data supports decisions Pay Range $38-$45 USD What We Offer: * Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions. * Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time. * Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind. * Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance. * Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint. Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. EEO Poster In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected. E-Verify: Right to Work Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate's eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees. Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish) Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records. No agencies, no solicitations, and no calls please.

... Ford is seeking a proactive and detail-oriented CRM Integration Specialist to contribute to the enablement of our foundational CRM capabilities. This role will focus on supporting the implementation of CRM technology, executing integration work, assisting with data enablement, and collaborating with legal and privacy teams to ensure compliance across CRM initiatives. The CRM Integration Specialist will play a key role in ensuring the smooth flow of data and functionality between CRM platforms and other critical systems, supporting the overall goal of providing a seamless customer experience. A solid understanding of the end-to-end CRM process, familiarity with Salesforce Marketing Cloud and Data Cloud, and experience working within Agile methodologies are important for this role. You'll have... CRM Integration Experience: Practical experience (3+ years) in a CRM integration, support, or related technical role, preferably within a large organization. Requirements Understanding: Ability to understand and interpret business and technical requirements for CRM systems and integrations. CRM Technology Familiarity: Strong working knowledge of enterprise CRM platforms, particularly Salesforce Marketing Cloud and a foundational understanding of Salesforce Data Cloud (CDP) capabilities. Data Concepts: Basic understanding of data management principles, data mapping, and data flow within integrated systems. Legal & Privacy Awareness: Awareness of data privacy regulations (e.g., GDPR, CCPA) and a willingness to learn and apply compliance requirements in technical solutions. Integration Basics: Familiarity with integration concepts, such as APIs, data exchange formats (e.g., JSON, XML), and basic troubleshooting of system connections. Project Management Software Proficiency: Proficiency with common project management tools (e.g., Jira, Asana, Microsoft Project) for task tracking and collaboration. Agile Methodologies: Working knowledge and practical experience operating within Agile frameworks (e.g., Scrum, Kanban). Strong Collaboration & Communication Skills: Ability to work effectively in a team environment, communicate technical information clearly, and build collaborative relationships. Problem-Solving Skills: Strong analytical and problem-solving skills, with an ability to identify and resolve integration-related issues. Even better, you may have... Bachelor's degree in Computer Science, Information Systems, Marketing Technology, or a related field. Relevant Salesforce certifications (e.g., Salesforce Certified Administrator, Marketing Cloud Email Specialist, or Platform App Builder). Experience with specific integration platforms or middleware. Automotive Industry Familiarity: Familiarity with the automotive industry or complex consumer-facing businesses is a plus. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: New Hire Benefits This position is a range of salary grades 5-8 . Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-LP3 What you'll do... CRM Integration Support & Execution: Support the implementation of the CRM integration roadmap by executing defined tasks related to data flow, system connectivity, and functionality. Requirements Documentation: Assist in gathering, documenting, and clarifying business and technical requirements for CRM integrations and system enhancements. CRM Technology Configuration & Testing: Support the configuration, testing, and deployment of core CRM platforms, particularly Salesforce Marketing Cloud and Salesforce Data Cloud, ensuring they meet specified integration requirements. Data Enablement Contribution: Contribute to CRM data enablement efforts, including data mapping, transformation, and validation, to ensure data quality and usability for downstream processes. Legal & Privacy Collaboration: Collaborate with Legal and Privacy teams to understand and apply data privacy principles (e.g., GDPR, CCPA) and compliance requirements within CRM integration projects. Assist in the discovery and completion of Privacy Impact Assessments (PIA). Integration Execution & Troubleshooting: Execute defined data integration tasks, provide first-level troubleshooting and support for data integration issues, collaborating with cross functional API and data platform technical teams. Project Support: Work within established project plans and Agile frameworks to support the delivery of CRM integration initiatives, tracking progress and reporting on assigned tasks. Agile Participation: Actively participate in Agile ceremonies (e.g., daily stand-ups, sprint planning, retrospectives) and contribute to continuous improvement within the team. Cross-Functional Collaboration: Collaborate effectively with IT, Data Science, Marketing, Sales, and external vendors to ensure clear communication and successful data integration outcomes. Performance Monitoring Assistance: Assist in monitoring the performance of CRM integrations and data flows, identifying potential issues and reporting on key metrics.

... The position will be responsible for data integration, quality management, and optimization to ensure efficient and reliable data operations. We are seeking a highly skilled and dedicated Data Analyst to join our team, focusing on the Global Access Control System and related security technologies. This position is increasingly vital due to the growing complexity and interconnectedness of Ford's security technology ecosystem. This critical role has evolved to require specialized expertise in data integration, quality management, and optimization to ensure efficient and reliable data operations across our global infrastructure. As a key contributor, you will play a pivotal role in enhancing our security posture through advanced data analysis and system integration. The increasing number of requests for complex integrations highlights the specialized technical expertise required for both design and application development, as well as the ongoing management of these critical security systems. Qualifications Proven experience in data analysis, system integration, and data quality management. Demonstrated expertise with data integration tools such as Alteryx, SSIS, Kafka, and Actian Dataconnect. Strong understanding of security systems and global access control principles. Experience in application design and development, particularly within a security technology context. Ability to troubleshoot complex integrated systems and perform data profiling. Excellent collaboration and communication skills for working with cross-functional teams. Strong analytical skills with the ability to identify trends and optimize system performance. You'll have... Bachelors Degree or equivalent in commensurate work Proven experience in data analysis, system integration, and data quality management. Demonstrated expertise with data integration tools such as Alteryx, SSIS, Kafka, and Actian Dataconnect. Strong understanding of security systems and global access control principles. Experience in application design and development, particularly within a security technology context. Ability to troubleshoot complex integrated systems and perform data profiling. Excellent collaboration and communication skills for working with cross-functional teams. Strong analytical skills with the ability to identify trends and optimize system performance. Skills Data/Database: Oracle, Microsoft Access, SQL Server Databases, Google Cloud Platform, Amazon S3 Data Integrations/ETL: Alteryx, Power Query, REST API, Regex Data Analysis: Python, Pandas, Excel, Power BI Software Development: C#, OOP, Tkinter, Batch You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: New Hire Benefits This position is a range of salary grades 6-7 . Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-LP3 What you'll do... Complex System Integrations: Collaborate with cross-functional teams and manage integrations, primarily the Ford enterprise badging system, and integrate data with business systems using various tools (Alteryx, SSIS, Kafka, Actian Dataconnect, etc.). Specialized Technical Expertise: SME in application design and development related to security systems, ensuring seamless communication and functionality across platforms. Ongoing Management and Support: Responsible for the continuous operation, maintenance, data profiling, and troubleshooting of integrated security systems. Data Analysis: Provides analysis of data from integrated systems to optimize performance, identify trends, and enhance security posture. Data Integrity: Define and implement data quality management rules and workflows and ensure adherence to data governance and security best practices.