Data Science and Business Intelligence Generalist IV

Daimler Truck • Detroit, MI

1d • $117,000 - $150,000 • Hybrid

About The Position

Inside the Role This role is for the Business Intelligence and Analytics Architect and Project Lead for the Quality Management data analytics team. The position combines hands-on development of scalable data, analytics, and visualization tools with project leadership responsibilities. The role is accountable for architecting scalable data and analytics solutions, leading cross-functional delivery efforts, and developing high-impact tools and dashboards that support the Global Quality organization. The position is also responsible for providing direction to the product developers for the data analytics tools. The ideal candidate is an experienced data professional who can manage the end-to-end lifecycle of analytics projects, from discovery and scoping to architecture, development, and rollout. Posting Information We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected. We Take Care of Our Team Position offers a starting salary range of $117,000 – $150,000 USD Pay offered dependent on knowledge, skills, and experience. Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans. What You Drive at DTNA Lead analytics projects from ideation through delivery, including stakeholder alignment, requirements definition, solution architecture, development, testing, deployment, and user onboarding. Design and develop full-stack analytics applications and dashboards that enable data-driven decision-making across Quality and Manufacturing. Build and optimize data pipelines and ETL processes that integrate data from multiple enterprise systems and support scalable analytics use cases. Create intuitive and interactive visualizations that clearly communicate trends, patterns, and operational insights. Collaborate with Quality Management, engineering, manufacturing, warranty, and field service teams to define KPIs, metrics, and analytical requirements. Partner with cross-regional analytics and IT teams to ensure scalable architecture, data governance, and alignment to global strategies. Serve as a technical mentor to junior developers and analysts, providing guidance on best practices for development, architecture, and stakeholder engagement. Support the development of AI-driven and automation-focused tools using time-series analysis, ML-assisted analytics, and retrieval-augmented generation. Support the governance of user access, security controls, standards, and development templates across the Quality analytics ecosystem. Knowledge You Should Bring Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, Technology, or a related field. 7+ years of experience in full-stack development, data engineering, or business intelligence. 3+ years of experience working with Palantir Foundry. Palantir Foundry Data Engineer Certification 3+ years experience serving as a Data Architect or Solution Architect for large-scale analytics platforms. 2+ years experience working with Python, including experience with frameworks such as Pyspark, Typescript, or Pandas 2+ years experience building and interacting with APIs and integrating multiple enterprise data sources. Strong analytical and problem-solving skills, with the ability to translate business questions into scalable technical solutions. Knowledge of data modeling, data marts, and data warehouses using SQL, Python, or SAP-based systems. Ability to communicate complex technical concepts to non-technical audiences and facilitate cross-functional collaboration. Exceptional Candidates Might Have Master’s Degree in Engineering, Business Administration, or Project Management Experience leading cross-functional project teams or acting as a technical product owner. Experience with ML model development or deploying AI-assisted tools in production analytics environments. Experience with CI/CD, containerization technologies such as Docker or Kubernetes, and version control systems like GitHub or GitLab. Experience developing or deploying agentic systems, autonomous workflows, or LLM-based decision-support tools in production environments. Prior experience in a Forward Deployed Engineer or similar client-facing technical role. Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Detroit, MI US. Relocation assistance is not available for this position. Schedule Type: Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration. At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all. That is what we are working toward - for all who keep the world moving. Additional Information Visa sponsorship will only be open to current Daimler Truck North America employees working under an existing U.S. Daimler Truck North America Visa All other applicants must be legally authorized to work permanently in the country the position is located in at the time of application Final candidate must successfully complete a criminal background check Final candidate may be required to successfully complete a pre-employment drug screen Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions EEO - Disabled/Veterans Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status. For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935. SHAPE YOUR FUTURE. CHANGE THE WORLD. Are you ready to join the inspired people who are helping shape the future of commercial vehicle manufacturing? Our employees enjoy lucrative benefits, competitive salaries and the opportunity to work in jobs across many functions—mechanical engineering and electrical engineering, accounting, sales & marketing, IT and more—both within our company and in our offices around the world.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, Technology, or a related field.
• 7+ years of experience in full-stack development, data engineering, or business intelligence.
• 3+ years of experience working with Palantir Foundry.
• Palantir Foundry Data Engineer Certification
• 3+ years experience serving as a Data Architect or Solution Architect for large-scale analytics platforms.
• 2+ years experience working with Python, including experience with frameworks such as Pyspark, Typescript, or Pandas
• 2+ years experience building and interacting with APIs and integrating multiple enterprise data sources.
• Strong analytical and problem-solving skills, with the ability to translate business questions into scalable technical solutions.
• Knowledge of data modeling, data marts, and data warehouses using SQL, Python, or SAP-based systems.
• Ability to communicate complex technical concepts to non-technical audiences and facilitate cross-functional collaboration.

Nice To Haves

• Master’s Degree in Engineering, Business Administration, or Project Management
• Experience leading cross-functional project teams or acting as a technical product owner.
• Experience with ML model development or deploying AI-assisted tools in production analytics environments.
• Experience with CI/CD, containerization technologies such as Docker or Kubernetes, and version control systems like GitHub or GitLab.
• Experience developing or deploying agentic systems, autonomous workflows, or LLM-based decision-support tools in production environments.
• Prior experience in a Forward Deployed Engineer or similar client-facing technical role.

Responsibilities

• Lead analytics projects from ideation through delivery, including stakeholder alignment, requirements definition, solution architecture, development, testing, deployment, and user onboarding.
• Design and develop full-stack analytics applications and dashboards that enable data-driven decision-making across Quality and Manufacturing.
• Build and optimize data pipelines and ETL processes that integrate data from multiple enterprise systems and support scalable analytics use cases.
• Create intuitive and interactive visualizations that clearly communicate trends, patterns, and operational insights.
• Collaborate with Quality Management, engineering, manufacturing, warranty, and field service teams to define KPIs, metrics, and analytical requirements.
• Partner with cross-regional analytics and IT teams to ensure scalable architecture, data governance, and alignment to global strategies.
• Serve as a technical mentor to junior developers and analysts, providing guidance on best practices for development, architecture, and stakeholder engagement.
• Support the development of AI-driven and automation-focused tools using time-series analysis, ML-assisted analytics, and retrieval-augmented generation.
• Support the governance of user access, security controls, standards, and development templates across the Quality analytics ecosystem.

Benefits

• annual bonus program
• 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age
• starting at 4 weeks paid vacation
• 13+ calendar holidays
• 8 weeks paid parental leave
• employee assistance program
• comprehensive healthcare plans and wellness programs
• onsite fitness (at some locations)
• tuition assistance and volunteer paid time off
• short-term and long-term disability plans

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level