Data Science and Business Intelligence Generalist I

Daimler Truck North America; Detroit (MI); Hybrid; USD 71,000 - 91,000; Full time

Benefits offered by this job

Annual bonus

401k with company match

Vacation & holidays

Parental leave

Healthcare plans

Tuition assistance

Job summary

Daimler Truck North America is seeking a data-focused analyst to develop, analyze, and model operational data, delivering insights for performance and strategy. You will work with SQL, Excel, Python, and Power BI to create dashboards and reports for diverse stakeholders.

The role supports hybrid work with a strong emphasis on data governance, enterprise data standards, and cross-functional collaboration to drive improvements in efficiency and decision making.

Qualifications

• Bachelor's degree required.
• 0-2 years of relevant experience or 4 years in lieu of degree.
• Strong analytical and data-driven decision making.
• Knowledge of relational databases (SQL, Oracle).
• Experience with data visualization tools (Power BI).
• Familiarity with Microsoft Power Platform and cloud platforms (Azure, AWS).
• Ability to test solutions and communicate issues clearly.

Responsibilities

• Data mining, extraction and analysis to identify insights using SQL, Excel, Python or analytics software.
• Develop and model operational and enterprise data for governance and reporting.
• Create dashboards and reports for technical and non-technical stakeholders.
• Participate in designing and maintaining Power Platform solutions (Power Apps, Power Automate, Power BI).
• Support AI evaluations and practical automation initiatives.
• Provide technical support during implementation and maintenance of data analytics platforms.

Skills

SQL

Python

Excel

Power BI

Data Visualization

Critical Thinking

Communication

Education

Bachelor's degree

Tools

Grafana

Microsoft Power Platform

Power Apps

Power Automate

Job description

Inside the Role

Develops, analyzes and models operational, economic, management, accounting and other organizational data. Prepares operations analyses, including analysis of competitors, operational effectiveness and capacity utilization. Prepares plans or recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry. Responsibilities are within the Data Science & Business Intelligence job family group as a generalist or in a combination of job families.

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 $71,000 - $91,000 USD

Pay offered dependent on knowledge, skills, andexperience.

Benefits include annual bonus program; 401kcompany contribution with company match up to6% as well as non-elective company contribution of3 - 7% depending on age;starting at 4 weeks paidvacation; 13+ calendar holidays; 8 weeks paidparental leave; employee assistance program;comprehensive healthcare plans and wellnessprograms; onsite fitness (at some locations); tuitionassistance and volunteer paid time off; short-termand long-term disability plans.

What You Will Drive

Data Mining, Extraction and Analysis - Identify relevant data sources, collect data, and perform various analytical techniques to extract insights using SQL, Excel, Python, or specialized analytics software.Develop, analyze and model operational, manufacturing, and other organizational data.Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.

Enterprise Data - Manage and maintain standards and governance for capturing, modeling, storing, and delivering data to the enterprise. Identify data-related business requirements and service standards (i.e., transaction processing speed, reporting capabilities, scalability, etc.). Work with enterprise data models and understand actual and conceptual views of related data sub-architectures (i.e., database, data integration, data warehouse/business intelligence).

Data Visualization and Reporting - Create visually appealing and meaningful reports, dashboards, and visualizations to communicate analytical findings and insights to both technical and non-technical stakeholders using tools like Power BI, Grafana, or other analytical data presentation software.

Power Platform Solutions - Participate in the design, development, and maintenance of business solutions using Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and related data sources. Translate business requirements into low-code applications, automated workflows, reports, and dashboards. Participate in testing, deployment, documentation, user support, and ongoing solution improvements.

AI and Intelligent Automation - Support the evaluation and development of practical AI solutions that address business needs. Assist with identifying use cases, preparing and validating data, documenting requirements, testing outputs, and monitoring solution effectiveness.

Technical Support - Provide technical support to cross-functional teams during implementation, troubleshooting, and maintenance of data analytic and technology solutions. Participate inthe maintenance and support activities for the data analytics platforms, including monitoring performance, troubleshooting issues, and implementing enhancements along with support and maintenance of local data pipelines.

Technology Consulting - Collaborate with stakeholders from different departments to understand their data and technology requirements and provide guidance on suitable solutions.

Project Management - Coordinate and manage technology projects across different teams, ensuring effective communication, resource allocation, and timely delivery.

Continuous Improvement - Stay up to date with emerging technologies, tools, methodologies, industry trends, and best practices in data analytics and related fields to identify new opportunities for innovation, automation, and enhanced capabilities.

Knowledge You Should Bring

• Bachelor's degree from an accredited university/college in related field
• 0-2 years of relevant experience or 4 years of relevant experience in lieu of degree
• Analytical and critical-thinking skills to identify data patterns, solve problems and make data-driven decisions
• Knowledge of how to analyze complex data requirements, troubleshoot data related issues, and propose effective solutions
• Knowledge of relational databases required (i.e. SQL, Oracle)
• Knowledge of data analysis and statistical methods for developing meaningful and accurate responses to business use-cases
• Knowledge of user access controls to applications, tools, and data.
• Knowledge of applications and/or tools to move data to and from thesource systems to the destinationsystems and/or processes
• Ability to maintain appropriate documentation to reflect solution design, life cycles, and configuration of changes includingdata architecture and data lineage
• Experience with data visualization tools (e.g., Power BI)
• Familiarity with Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and common Microsoft 365 data sources.
• Understanding of low-code application development and workflow automation concepts.
• Familiarity with cloud platforms (e.g., Azure, AWS)
• Ability to test solutions, validate results, document findings, and communicate issues to business and technical partners.
• Strong interpersonal skills to effectively communicate with stakeholders from different backgrounds and technical expertise, bridging the gap between business requirements and technical implementation
• Ability to learn new technologies quickly and adapt to changing technological landscapes, as well as the ability to navigate ambiguity

Exceptional Candidates May Have

• Knowledge of Data Science use cases and in developing and deploying solutions based on data science models.
• Knowledge of ETL/ELT data acquisition, data warehouse management, and data model design principles.
• Knowledge of how to support and leverage integrated (on-prem and cloud) enterprise data environment and tools for data analytics, business intelligence and data science initiatives and projects
• Understanding of responsible AI principles, including data privacy, security, transparency, and human review.

• Experience using AI-assisted tools such as Microsoft Copilot or Azure AI services to support business processes, data analysis, or solution development.

#LI-DC1

#LI-HYBRID

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

• 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.