Data Science and Business Intelligence Generalist I

Daimler Truck North America

. Identify relevant data sources, collect data, and perform analytical techniques using SQL, Excel, Python, or specialized analytics software .

Posted 10/14/2026full-timeDetroit • Michigan • United StatesMid-LevelSenior💰 $71,000 - $91,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, visualization, and low-code application development, with proficiency in SQL, Power BI, and Microsoft Power Platform. Capable of managing data governance, collaborating with stakeholders, and adapting to emerging technologies.

Highest-signal resume keywords

SQL Database ManagementData Visualization with Power BIMicrosoft Power Platform DevelopmentData Analysis and Statistical MethodsCloud Platform Familiarity (Azure, AWS)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisSQLPythonExcelStatistical MethodsRelational DatabasesData GovernanceLow-Code Application DevelopmentData IntegrationData Modeling

Soft Skills

Analytical ThinkingProblem SolvingInterpersonal CommunicationAdaptabilityStakeholder Engagement

Tools & Technologies

Power BIMicrosoft Power PlatformGrafanaAzureAWS

Industry Keywords

Data StandardsData PipelinesBusiness IntelligenceData ArchitectureOperational Effectiveness

Tech Stack

Tools & technologies

AWSAzureCloudGrafanaOraclePythonSQL

About the role

Key responsibilities & impact

Identify relevant data sources, collect data, and perform analytical techniques using SQL, Excel, Python, or specialized analytics software
Develop, analyze, and model operational, manufacturing, and organizational data
Analyze competitors, operational effectiveness, capacity utilization, and industry economic forecasts
Manage and maintain enterprise data standards and governance
Identify data-related business requirements and service standards
Work with enterprise data models, databases, data integration, data warehouses, and business intelligence architectures
Create reports, dashboards, and visualizations using Power BI, Grafana, or similar tools
Design, develop, maintain, test, deploy, document, and support Microsoft Power Platform solutions
Translate business requirements into low-code applications, automated workflows, reports, and dashboards
Support evaluation and development of practical AI and intelligent automation solutions
Prepare and validate data, document requirements, test outputs, and monitor solution effectiveness
Provide technical support during implementation, troubleshooting, and maintenance of data analytics and technology solutions
Maintain and enhance data analytics platforms and local data pipelines
Consult with stakeholders across departments on data and technology requirements
Coordinate and manage technology projects across teams
Stay current with emerging technologies, tools, methodologies, trends, and best practices

Requirements

What you’ll need

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, including SQL and Oracle
Knowledge of data analysis and statistical methods
Knowledge of user access controls to applications, tools, and data
Knowledge of applications and/or tools to move data between source and destination systems and/or processes
Ability to maintain documentation covering solution design, lifecycles, configuration changes, data architecture, and data lineage
Experience with data visualization tools such as 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 such as Azure and AWS
Ability to test solutions, validate results, document findings, and communicate issues
Strong interpersonal skills for communicating with stakeholders of varying backgrounds and technical expertise
Ability to learn new technologies quickly and adapt to changing technological landscapes
Ability to navigate ambiguity
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

Benefits

Comp & perks

Annual bonus program
401k company contribution with company match up to 6%
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
Wellness programs
Onsite fitness at some locations
Tuition assistance
Volunteer paid time off
Short-term and long-term disability plans
Relocation assistance is not available