Data Science and Business Intelligence Generalist III

About the Role

Daimler Trucks Remarketing (DTR) is responsible for driving new truck sales by supporting our customers' vehicle lifecycle management while maintaining DTNA's market-leading resale value for our products. The Data Science and Business Intelligence Generalist III is responsible for enabling data-driven decision making through advanced analytics, business intelligence, data governance, automation, and emerging AI technologies.

This role serves as a strategic partner across the Daimler Trucks Remarketing organization, supporting functions including Sales Support, Quotes, Marketing, Network Development, Sales & Distribution, Operations, and other business areas by providing analytical expertise, promoting self-service analytics, and identifying opportunities to improve business performance through data, automation, and continuous improvement initiatives. The successful candidate demonstrates strong analytical skills, a passion for continuous improvement, a customer-focused mindset, and the ability to translate complex data into actionable business insights. This individual serves as a trusted advisor, helping business teams improve their analytical capabilities while fostering a culture of data quality, innovation, and data-driven decision making throughout the organization.

Responsibilities

Analytics Strategy & Business Partnership

• Partner with business stakeholders to identify opportunities to leverage data, analytics, automation, and AI in support of organizational objectives.
• Translate business challenges into analytical approaches and actionable recommendations.
• Serve as a trusted advisor on analytics capabilities, data strategy, reporting best practices, and business intelligence solutions.
• Support strategic initiatives by providing meaningful insights and data-driven recommendations.

Data Science, Analytics, Innovation & Continuous Improvement

• Develop predictive models, statistical analyses, and advanced analytical solutions to support business decision making.
• Evaluate emerging technologies, analytical methodologies, and AI capabilities for practical business application.
• Lead proof-of-concept initiatives demonstrating opportunities to improve efficiency and business outcomes through analytics and automation.
• Identify and implement continuous improvement opportunities that enhance business processes, data accessibility, reporting effectiveness, and operational efficiency.
• Support digital transformation initiatives through the application of analytics, automation, and innovative technologies.
• Keep current on data science, analytics, and AI technologies and share best practices across the organization.

Analytics Enablement & Data Governance

• Support business teams in the adoption and continuous improvement of reporting and self-service analytics capabilities.
• Provide guidance, training, and mentorship to analysts and business users seeking to improve their analytical capabilities and use of data.
• Promote consistency in business metrics, reporting standards, data definitions, and governance practices.
• Partner with stakeholders to improve data quality, transparency, and trust in business reporting.
• Collaborate cross-functionally to improve data accessibility and analytical effectiveness across the organization.

Requirements

• Bachelor's degree with focus on one or more of the following areas: 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 related fields.
• Strong background in business intelligence, data analytics, statistical analysis, data governance, and data management.
• Strong ability to query, manipulate, and analyze data from multiple data sources.
• Experience applying analytical methodologies 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 similar technologies.
• Strong communication skills with the ability to explain technical concepts to business audiences.

Preferred Qualifications

• Experience leading projects, mentoring colleagues, or serving as a technical subject matter expert.
• Experience establishing data governance standards and promoting data quality best 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 preferred.
• Experience with AI, machine learning, automation, or emerging analytical technologies preferred.

Benefits

• Annual bonus program
• 401(k) company contribution with company match up to 6% as well as non-elective company contribution of 3–7% depending on age
• Starting at 4 weeks paid vacation
• 13+ calendar holidays
• 8 weeks paid parental leave
• Employee assistance program
• Comprehensive healthcare plans and wellness programs
• Onsite fitness (at some locations)
• Tuition assistance and volunteer paid time off
• Short-term and long-term disability plans

Pay

Starting salary range: $104,000 – $133,000 USD (dependent on knowledge, skills, and experience).

Schedule

Hybrid: 4 days per week in-office, 1 day remote.

Location

Fort Mill, SC, US. Relocation assistance is not available for this position.