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Business Intelligence Specialist
Daimler Truck North America. Lead market intelligence and competitive benchmarking by collecting and analyzing economic, industry, customer and competitor information .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in market intelligence, competitive benchmarking, and data analytics to drive strategic planning and business insights. Proficient in predictive modeling, data visualization, and effective communication to support decision-making and project management.
Highest-signal resume keywords
Market ResearchData AnalyticsPredictive ModelingBusiness IntelligenceData Visualization
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 ScienceForecastingStatisticsData ModelingPredictive AnalyticsSQLBig Data ToolsData ManagementCommercial Vehicle AnalyticsCustomer Analytics
Soft Skills
Strategic ThinkingAnalysis and Problem SolvingDecision MakingEffective CommunicationProject Management
Industry Keywords
AutomotiveCommercial VehiclesMarket IntelligenceCompetitive IntelligenceEconomic Analysis
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Lead market intelligence and competitive benchmarking by collecting and analyzing economic, industry, customer and competitor information
- Identify opportunities, risks and emerging trends
- Develop business insights, forecasts and predictive models for strategic planning, product portfolio, sales, aftersales, pricing, dealer development and go-to-market decisions
- Design and maintain advanced analytics, dashboards, data visualizations and predictive solutions
- Analyze truck concentration, customer segments and geographic potential to identify underserved markets and growth opportunities for trucks, parts and services
- Conduct and coordinate market research with internal stakeholders and third parties
- Support product introductions, portfolio optimization, pricing and customer experience improvements
- Present strategic insights, business cases and competitive intelligence to management forums, committees, dealer network and cross-functional teams
Requirements
What you’ll need- Experience in automotive/commercial vehicles, business intelligence, market research, data analytics, forecasting and predictive modeling
- Market research and competitive intelligence
- Business intelligence and data visualization
- Statistics, data modeling and forecasting
- Data science and predictive analytics
- Big data tools, SQL and data management
- Commercial vehicle and customer analytics
- English level: B2-C1
- Strategic thinking
- Analysis and problem solving
- Decision making
- Project management
- Application of information technologies
- Effective communication
- Bachelor's degree in Data Science, Statistics, Economics, Market Research, Engineering, Business or related quantitative field
Benefits
Comp & perks- Flexible and agile work approach
- Inclusive corporate culture
- Diversity and equal opportunities
- Empowerment and support for employees
- Positive working environment