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Data Science and Business Intelligence Generalist II
Daimler Truck North America. Execute data, analytics, artificial intelligence, and automation initiatives across the Our People Team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, artificial intelligence, and automation, with a strong focus on developing scalable solutions that enhance data quality and business value. Proven ability to lead implementations, translate technical concepts into business value, and foster collaboration across teams.
Highest-signal resume keywords
Data Analytics LeadershipAI/ML Concepts FamiliarityData Modeling ExperienceSelf-Service Analytics PlatformsStakeholder Management Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData ArchitectureAutomation SolutionsPredictive ModelingWorkflow AutomationAI-Powered Agents DevelopmentData Pipeline DevelopmentProblem SolvingTechnical Solution TranslationData Governance Principles
Soft Skills
Excellent CommunicationStakeholder ManagementCoaching and UpskillingCollaborationKnowledge Sharing
Tools & Technologies
SnowflakePower PlatformPower BITableauAlteryxMicrosoft Copilot StudioAPIsEnterprise Data SourcesCloud TechnologiesData Platforms
Industry Keywords
Artificial IntelligenceMachine LearningData AnalyticsAutomationData QualityBusiness IntelligenceEthical Data UseEnterprise Data ArchitectureData LiteracyGenerative AI
Tech Stack
Tools & technologiesCloudSnowflakeTableau
About the role
Key responsibilities & impact- Execute data, analytics, artificial intelligence, and automation initiatives across the Our People Team
- Work directly with business stakeholders to identify opportunities and develop innovative solutions
- Design, build, test, deploy, and support analytics, AI, and automation solutions
- Develop dashboards, reports, agents, copilots, workflows, and predictive models
- Translate business requirements into scalable technical solutions
- Lead solution implementations from concept through production deployment
- Apply data modeling and data architecture principles to improve operational effectiveness
- Establish scalable data solutions that enhance data quality, accessibility, and business value
- Build and maintain data pipelines and integrations
- Work with Snowflake, Power Platform, APIs, and enterprise data sources
- Facilitate forums, events, and knowledge-sharing initiatives
- Promote collaboration and shared best practices across departments
- Contribute to solution architecture design and document technical implementations
- Develop and configure AI-powered agents using Microsoft Copilot Studio and enterprise AI platforms
- Implement prompt engineering, retrieval-augmented generation (RAG), and workflow automation solutions
- Evaluate AI use cases and determine appropriate technical approaches
- Measure and improve AI solution quality, adoption, and business impact
- Stay current on advancements in AI, machine learning, generative AI, intelligent agents, automation, cloud technologies, and data platforms
- Serve as the primary technical resource for AI-related data, analytics, and platform initiatives within the Our People Team
Requirements
What you’ll need- Bachelor’s Degree and 2-4 years of relevant experience or 6 years of relevant experience in lieu of degree, is required
- Familiarity with AI/ML concepts, ethical data use, and enterprise data architecture
- Proven experience in problem solving and a constant quest for improvement
- Proven experience leading data analytics
- Strong understanding of self-service analytics platforms (e.g., Power BI, Tableau, Alteryx, Power Platform, Snowflake)
- Understanding of data governance principles
- Excellent communication and stakeholder management skills
- Ability to translate technical concepts into business value
- Attached resume is required
- Demonstrated ability to coach and upskill others in data literacy, visualization, automation, data engineering, business intelligence and AI/ML
- Data modeling experience
- Must be legally authorized to work permanently in the United States at the time of application
- Must successfully complete a criminal background check
- May be required to successfully complete a pre-employment drug screen
Benefits
Comp & perks- Hybrid schedule: 4 days per week in-office / 1 day remote
- Relocation assistance is not available for this position