Data Science Generalist III, Business Intelligence

Daimler Truck North America

. Partner with business stakeholders to identify opportunities to leverage data, analytics, automation, and AI .

Posted 10/20/2026full-timeFort Mill • South Carolina • United StatesMid-LevelSenior💰 $104,000 - $133,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, business intelligence, and predictive modeling to drive data-driven decision-making. Proficient in leveraging AI and automation technologies to enhance business processes and reporting effectiveness.

Highest-signal resume keywords

Data AnalyticsBusiness IntelligencePredictive ModelingSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsStatistical AnalysisData GovernanceData ManagementPredictive ModelingAnalytical MethodologiesData QueryingData ManipulationAutomationAI

Soft Skills

Critical ThinkingProblem SolvingConsulting SkillsCommunication SkillsMentorship

Tools & Technologies

Power BITableauDatabricksAzureSQLPythonAI TechnologiesAutomation ToolsBusiness Intelligence PlatformsSelf-Service Analytics

Industry Keywords

AutomotiveTransportationManufacturingFinancial ServicesData StrategyDigital TransformationReporting StandardsData QualityEmerging TechnologiesData Accessibility

Tech Stack

Tools & technologies

AzurePythonSQLTableau

About the role

Key responsibilities & impact

Partner with business stakeholders to identify opportunities to leverage data, analytics, automation, and AI
Translate business challenges into analytical approaches and actionable recommendations
Serve as a trusted advisor on analytics capabilities, data strategy, reporting best practices, and business intelligence solutions
Support strategic initiatives with insights and data-driven recommendations
Develop predictive models, statistical analyses, and advanced analytical solutions
Evaluate emerging technologies, analytical methodologies, and AI capabilities for practical business application
Lead proof-of-concept initiatives to improve efficiency and business outcomes through analytics and automation
Identify and implement continuous improvement opportunities for business processes, data accessibility, reporting effectiveness, and operational efficiency
Support digital transformation initiatives through analytics, automation, and innovative technologies
Keep current on data science, analytics, and AI technologies and share best practices
Support adoption and continuous improvement of reporting and self-service analytics capabilities
Provide guidance, training, and mentorship to analysts and business users
Promote consistency in business metrics, reporting standards, data definitions, and governance practices
Partner with stakeholders to improve data quality, transparency, and trust in business reporting
Collaborate cross-functionally to improve data accessibility and analytical effectiveness

Requirements

What you’ll need

Bachelor's degree with focus on Data Science, Analytics, Statistics, Mathematics, Computer Science, Information Systems, Engineering, or Business Analytics
3–5 years of relevant experience in analytics, business intelligence, data science, data engineering, or related fields
Strong background in business intelligence, data analytics, statistical analysis, data governance, and data management
Ability to query, manipulate, and analyze data from multiple data sources
Experience applying analytical methodologies to solve complex business problems
Knowledge of modern business intelligence, AI, automation, and data platform technologies
Experience with SQL, Python, Power BI, Tableau, Databricks, Azure, or similar technologies
Ability to explain technical concepts to business audiences
Experience leading projects, mentoring colleagues, or serving as a technical subject matter expert
Experience establishing data governance standards and promoting data quality best practices
Experience supporting self-service reporting and analytics programs
Strong critical thinking, problem solving, and consulting skills
Excellent written, verbal, and presentation communication skills
Automotive, transportation, manufacturing, or financial services industry experience preferred
Experience with AI, machine learning, automation, or emerging analytical technologies preferred
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
401(k) 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 disability plans
Long-term disability plans