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Daimler Truck North America
Daimler Truck North America
H1B Visa SponsorAutomotiveLogisticsTransport
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.
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Data Science and Business Intelligence Generalist III (Hybrid, Fort Mill, SC)

Advance analytics, business intelligence, automation, and AI for Daimler Truck remarketing. Support data-driven decisions through predictive modeling, governance, and self-service reporting.

USUnited StatesSCSouth Carolina
$104,000 – $133,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredBusiness Intelligence Analyst
AzurePythonSQLTableau

Description

  • Identify opportunities to apply data, analytics, automation, and AI with business stakeholders.
  • Turn business challenges into analytical plans and practical recommendations.
  • Advise on analytics capabilities, data strategy, reporting practices, and business intelligence solutions.
  • Contribute insights and data-backed recommendations to strategic initiatives.
  • Build predictive models, statistical analyses, and other advanced analytical solutions.
  • Assess emerging technologies, analytical methods, and AI capabilities for practical business use.
  • Lead analytics and automation proof-of-concept projects.
  • Improve business processes, data access, reporting, and operational efficiency.
  • Contribute to digital transformation through analytics, automation, and new technologies.
  • Stay informed about data science, analytics, and AI, 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.
  • Work with stakeholders to strengthen data quality, transparency, and confidence in reporting.
  • Collaborate across teams to improve data access and analytical effectiveness.

Requirements

  • Bachelor’s degree focused on data science, analytics, statistics, mathematics, computer science, information systems, engineering, or business analytics.
  • 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 clearly to business audiences.
  • Experience leading projects, mentoring colleagues, or serving as a technical subject matter expert.
  • Experience setting 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 industry 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 role is located when applying.
  • Must pass a criminal background check.
  • May need to pass a pre-employment drug screen.

Benefits

  • 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.
  • 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 volunteer time off.
  • Short-term disability plans.
  • Long-term disability plans.

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