Daimler Truck North America dezvoltă și furnizează vehicule, tehnologii și servicii pentru industria transportului comercial. Portofoliul său include camioane de tonaj mediu și greu, autobuze școlare, șasiuri și soluții de transport conexe asociate mărcilor Freightliner, Western Star și Thomas Built Buses. Compania reunește expertiză în inginerie, producție, marketing și servicii, punând accent pe promovarea inovației și sustenabilității în domeniile logisticii, industriei auto și transporturilor.
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.
Descriere
- 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.
Cerințe
- 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.
Beneficii
- Flexible, agile approach to work.
- Inclusive corporate culture.
- Commitment to diversity and equal opportunity.
- Employee empowerment and support.
- Positive workplace environment.