Daimler Truck North America
Daimler Truck North America
Daimler Truck North America develops and delivers vehicles, technologies, and services for the commercial transportation industry. Its portfolio includes medium- and heavy-duty trucks, school buses, chassis, and related transportation solutions associated with Freightliner, Western Star, and Thomas Built Buses. The company brings together engineering, manufacturing, marketing, and service expertise, with a focus on advancing innovation and sustainability across logistics, automotive, and transport.

Business Intelligence Specialist – Daimler Truck Mexico (Hybrid)

Lead analytics, forecasting, and market intelligence for Daimler Truck Mexico. Deliver insights that inform commercial vehicle sales, aftersales, pricing, product, and customer strategies.

Description

  • Gather and evaluate economic, industry, customer, and competitor data to lead market intelligence and benchmarking efforts.
  • Assess emerging trends, risks, and opportunities relevant to the business.
  • Create insights, forecasts, and predictive models supporting strategic planning, product portfolios, sales, aftersales, pricing, dealer development, and go-to-market decisions.
  • Build and manage advanced analytics, dashboards, visualizations, and predictive solutions.
  • Examine truck distribution, customer segments, and geographic potential to uncover underserved markets and growth opportunities for trucks, parts, and services.
  • Plan and conduct market research in collaboration with internal teams and external partners.
  • Contribute to product launches, portfolio improvements, pricing initiatives, and customer experience enhancements.
  • Present strategic findings, business cases, and competitive intelligence to management forums, committees, dealers, and cross-functional stakeholders.

Requirements

  • Experience spanning automotive or commercial vehicles, business intelligence, market research, analytics, forecasting, and predictive modeling.
  • Capability in market research and competitive intelligence.
  • Proficiency in business intelligence and data visualization.
  • Knowledge of statistics, data modeling, and forecasting methods.
  • Experience with data science and predictive analytics.
  • Familiarity with big-data tools, SQL, and data management.
  • Understanding of commercial vehicle and customer analytics.
  • English proficiency at the B2–C1 level.
  • Strategic thinking skills.
  • Strong analytical and problem-solving ability.
  • Sound decision-making skills.
  • Project management capability.
  • Ability to apply information technologies effectively.
  • Effective communication skills.
  • Bachelor’s degree in data science, statistics, economics, market research, engineering, business, or a related quantitative discipline.

Benefits

  • Flexible, agile approach to work.
  • Inclusive corporate culture.
  • Commitment to diversity and equal opportunity.
  • Employee empowerment and support.
  • Positive workplace environment.

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