Data Science and Business Intelligence Generalist III

Daimler Truck•Detroit, MI

1d•$104,000 - $133,000•Onsite

About The Position

Inside the Role The Business Intelligence and Analytics Developer is a key contributor within the Quality Management data analytics team. This position focuses on hands-on development of scalable data, analytics, and visualization tools that support the Global Quality organization. The ideal candidate is an experienced developer who enjoys building robust solutions, collaborating with cross-functional partners, and improving the team’s technical capabilities. This role contributes to project execution but does not serve as the lead architect or primary project manager. 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 $104,000 – $133,000 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 Design, develop, and maintain full-stack analytics applications and dashboards that enable data-driven decision-making across Quality and Manufacturing. Develop 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 translate business requirements into technical specifications. Partner with cross-regional analytics and IT teams to ensure compatibility with established architecture, data governance frameworks, and global standards. Contribute to the development of AI-driven and automation-focused tools using time-series analysis, ML-assisted analytics, and retrieval-augmented generation. Participate in code reviews, share best practices, and support continuous improvement of team development standards. Assist with user onboarding, documentation, and troubleshooting to support successful tool adoption. Help maintain governance of user access, security controls, 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. 5+ years of experience in full-stack development, data engineering, or business intelligence. Strong analytical and problem-solving skills, with the ability to translate business questions into scalable technical solutions. Prior experience developing in cloud environments or PaaS services such as Azure or AWS. Experience building and interacting with APIs and integrating multiple enterprise data sources. 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 Experience leading cross-functional project teams or acting as a technical product owner. Familiarity with cloud-based analytics platforms such as Palantir Foundry, Databricks, or Snowflake. Experience with ML model development or deploying AI-assisted tools in production analytics environments. Strong Python development skills or typescript Experience with CI/CD, containerization technologies such as Docker or Kubernetes, and version control systems like GitHub or GitLab. 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: Onsite 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 This position is not open for Visa sponsorship or to existing Visa holders 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.
5+ years of experience in full-stack development, data engineering, or business intelligence.
Strong analytical and problem-solving skills, with the ability to translate business questions into scalable technical solutions.
Prior experience developing in cloud environments or PaaS services such as Azure or AWS.
Experience building and interacting with APIs and integrating multiple enterprise data sources.
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

Experience leading cross-functional project teams or acting as a technical product owner.
Familiarity with cloud-based analytics platforms such as Palantir Foundry, Databricks, or Snowflake.
Experience with ML model development or deploying AI-assisted tools in production analytics environments.
Strong Python development skills or typescript
Experience with CI/CD, containerization technologies such as Docker or Kubernetes, and version control systems like GitHub or GitLab.

Responsibilities

Design, develop, and maintain full-stack analytics applications and dashboards that enable data-driven decision-making across Quality and Manufacturing.
Develop 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 translate business requirements into technical specifications.
Partner with cross-regional analytics and IT teams to ensure compatibility with established architecture, data governance frameworks, and global standards.
Contribute to the development of AI-driven and automation-focused tools using time-series analysis, ML-assisted analytics, and retrieval-augmented generation.
Participate in code reviews, share best practices, and support continuous improvement of team development standards.
Assist with user onboarding, documentation, and troubleshooting to support successful tool adoption.
Help maintain governance of user access, security controls, 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