Data Analyst Internship jobs at Ford Motor - 183 jobs

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Scientist Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will work on fleet metrics, behavior analysis, and performance evaluation of our autonomous vehicles. Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements. Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across our L3 development and production service fleets. On the Core Data Science team, you will provide data solutions to deliver domain specific analytical insights. In this role, you will have the opportunity to perform data analysis to develop and validate the simulation framework evaluating Zoox's autonomous driving software. You collaborate with key stakeholders in the Simulation team to gain insight into the safety and comfort performance of our robotaxi. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing to data-driven decision-making within the cutting-edge field of autonomous vehicles. Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026 At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California or Boston for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): Strong programming skills in Python Proficiency in SQL Experience with data analysis and processing libraries such as pandas and NumPy Experience with statistical analysis and data visualization Understanding of experimental design and A/B testing Strong data modeling skills Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake) Bonus Qualifications: Experience with autonomous vehicle metrics or robotics data Knowledge of causal inference and time-series analysis Familiarity with Databricks, Spark, or distributed computing Experience building dashboards and data visualizations Understanding of autonomous driving concepts (disengagements, ODD, safety metrics) Publications or coursework in robotics, autonomous systems, or related areas Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). 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.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Scientist Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will work on fleet metrics, behavior analysis, and performance evaluation of our autonomous vehicles. Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements. Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across our L3 development and production service fleets. On the Core Data Science team, you will provide data solutions to deliver domain specific analytical insights. In this role, you will have the opportunity to perform data analysis to develop and validate the simulation framework evaluating Zoox's autonomous driving software. You collaborate with key stakeholders in the Simulation team to gain insight into the safety and comfort performance of our robotaxi. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing to data-driven decision-making within the cutting-edge field of autonomous vehicles. Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026 At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California or Boston for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): Strong programming skills in Python Proficiency in SQL Experience with data analysis and processing libraries such as pandas and NumPy Experience with statistical analysis and data visualization Understanding of experimental design and A/B testing Strong data modeling skills Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake) Bonus Qualifications: Experience with autonomous vehicle metrics or robotics data Knowledge of causal inference and time-series analysis Familiarity with Databricks, Spark, or distributed computing Experience building dashboards and data visualizations Understanding of autonomous driving concepts (disengagements, ODD, safety metrics) Publications or coursework in robotics, autonomous systems, or related areas Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). 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.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. In this Role, You will... * Assist in mapping and creating Data Flow Diagrams (DFDs) to visually represent how customer data is captured, processed, stored, and shared across various applications, systems, and vendors. * Collaborate with cross-functional teams to identify and mitigate data security risks. * Work closely within the InfoSec team to address security concerns and help with incident response. * Support the development and implementation of data protection strategies and initiatives. * Review and improve InfoSec controls to ensure they are up to date and fully applied. * Query databases and manipulate data to prepare datasets for analysis, focusing on human behavior. * Assist in creating reports, charts, and graphs to present findings and insights on data flows to stakeholders. * Participate in meetings and contribute to discussions on data security issues and solutions. Requirements * Currently pursuing an undergraduate degree in Information Security, or related field * Basic understanding of privacy, data management principles, and database concepts. * Basic understanding of cybersecurity principles, including threat modeling, application security testing, and secure software development practices. * A passion for computers and security. * Desire to learn and have a strong sense of curiosity. * Able to commit to a 12-week internship beginning in May or June of 2026, and are available full-time (M-F 9am - 5 pm). * Ability to relocate to the Bay Area, California for the duration of the internship. Qualifications * Excellent communication skills, both written and verbal, with the capacity to break down complex concepts for various audiences. * Familiarity with data flow diagram methodologies or a strong interest in learning visual process documentation. * Familiarity with networking concepts (how websites work, how ports and IP addresses work, how encryption works, etc.). Bonus Qualifications * SQL knowledge * Knowledge of data visualization tools like Power BI or Tableau * Familiarity with data protection tools and technologies is a plus. The monthly salary range for this position is $5,500 to $7,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). 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.

Company Information PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium-, and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR also designs and manufactures advanced diesel engines, provides financial services and information technology, and distributes truck parts related to its principal business. Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services - you can develop the career you desire with PACCAR. Get started! Kenworth Truck Company Kenworth Truck Company is the manufacturer of The World's Best heavy and medium duty trucks. Kenworth is an industry leader in providing fuel-saving technology solutions that help increase fuel efficiency and reduce emissions. The company's dedication to the green fleet includes aerodynamic trucks, compressed and liquefied natural gas trucks, and medium duty diesel-electric hybrids. Responsibilities Identify valuable data sources and automate collection processes Undertake pre-processing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with manufacturing and business teams Requirements Experience in Data Visualization Knowledge of R, SQL and Python; familiarity with Java or C++ is an asset Proficient in using SQL code in development of complex queries Experience using PowerBI business intelligence tool Background in using Low-Code Software for Application development Analytical mind and business acumen Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering, or relevant field Perform other duties as assigned Physical Requirements Must meet physical requirements of the position with or without accommodations. Additional Job Board Information If you would like more information about what makes PACCAR an excellent place to work, please visit the PACCAR Career Site. PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability.

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.

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 Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, 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. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

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 Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, 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. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

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.

**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.

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.

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

Your Mission: The Global Analytics & Data Products Team is building a best-in-class analytics team in support of Stellantis' new Software Group. As a Staff member of our Data Analyst crew, your mission is to put science into decision-making across Software features as a model member of a cross-functional team building the best experiences for our customers. Responsibilities of the Role: Realize rapid iteration on product and business model design through revolutionary analytics approaches Be an advocate for data science, software product managers, designers and engineering stakeholders to answer mission-critical questions Be a model analytics translator, ensuring that insights and recommendations are communicated across disciplines successfully Define centralized, global definitions and business logic for vehicle and software metrics related to your products Routinely identify and drive results on the highest potential projects through cross-functional collaboration Deliver high-quality performance analyses of user experience, engagement, retention and monetization with realized impacts on customer experience, engagement, retention and monetization Identify and communicate telemetry requirements and work with our development teams to ensure successful and timely implementation Top Performers will be able to repeatedly demonstrate having delivered: Measurable efficiencies in workflows, tools and agile development processes through reusable best-practices Measurable consumer engagement impact through research and retrospective analysis Measurable revenue impact through research and retrospective analysis Measurable consumer experience impact through research and retrospective analysis Incremental value through a solid understanding of user engagement and monetization strategies for software products

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.

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.

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.

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.