Daimler Truck North America
Daimler Truck North America
Daimler Truck North America коммерциялық тасымалдау саласына арналған көліктерді, технологиялар мен қызметтерді әзірлеп, ұсынады. Оның портфеліне Freightliner, Western Star және Thomas Built Buses брендтерімен байланысты орта және ауыр жүк көліктері, мектеп автобустары, шассилер және тасымалдауға қатысты шешімдер кіреді. Компания инженерия, өндіріс, маркетинг және сервистік қызмет көрсету салаларындағы сараптаманы біріктіріп, логистика, автомобиль жасау және көлік салаларында инновациялар мен тұрақты дамуды ілгерілетуге басымдық береді.

Data Science Generalist III, Business Intelligence

Improve analytics, business intelligence, and automation for Daimler Truck’s remarketing business. Build predictive models and support data-informed decisions across business functions.

Сипаттама

  • Work with business stakeholders to find opportunities for data, analytics, automation, and AI.
  • Turn business challenges into analytical approaches and practical recommendations.
  • Advise on analytics capabilities, data strategy, reporting practices, and business intelligence solutions.
  • Contribute insights and data-based recommendations to strategic initiatives.
  • Build predictive models, conduct statistical analyses, and develop advanced analytical solutions.
  • Assess emerging technologies, analytical methods, and AI capabilities for business use.
  • Lead proof-of-concept projects that use analytics and automation to improve efficiency and business outcomes.
  • Identify and implement improvements to processes, data access, reporting, and operational efficiency.
  • Advance digital transformation through analytics, automation, and new technologies.
  • Stay informed about data science, analytics, and AI developments, and share effective practices.
  • Encourage adoption and ongoing improvement of reporting and self-service analytics.
  • Guide, train, and mentor analysts and business users.
  • Promote consistent business metrics, reporting standards, data definitions, and governance practices.
  • Work with stakeholders to strengthen data quality, transparency, and confidence in business reporting.
  • Collaborate across teams to improve data access and analytical effectiveness.

Талаптар

  • Bachelor’s degree in data science, analytics, statistics, mathematics, computer science, information systems, engineering, business analytics, or a related focus.
  • 3–5 years of relevant experience in analytics, business intelligence, data science, data engineering, or a related field.
  • Strong grounding in business intelligence, data analytics, statistical analysis, data governance, and data management.
  • Ability to query, manipulate, and analyze data from multiple sources.
  • Experience using analytical methods 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 comparable 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 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 experience is preferred.
  • Experience with AI, machine learning, automation, or emerging analytical technologies is preferred.
  • Must be legally authorized to work permanently in the country where the position is based when applying.
  • The final candidate must pass a criminal background check.
  • The final candidate may need to pass a pre-employment drug screen.

Артықшылықтар

  • Annual bonus program.
  • 401(k) company contribution, with matching up to 6%.
  • Non-elective company contribution of 3–7%, depending on age.
  • At least four weeks of paid vacation at the start.
  • 13 or more calendar holidays.
  • Eight weeks of paid parental leave.
  • Employee assistance program.
  • Comprehensive healthcare plans.
  • Wellness programs.
  • Onsite fitness facilities at some locations.
  • Tuition assistance.
  • Paid time off for volunteering.
  • Short-term disability plans.
  • Long-term disability plans.

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