Data Science & Business Intelligence Generalist II

Daimler Truck North America•Fort Mill, SC

6d•Hybrid

About The Position

The Pricing Strategy & Data Analytics Analyst supports DTNA Parts' strategic pricing initiatives through advanced analytics, pricing intelligence, and data-driven decision-making. The role combines pricing strategy, business intelligence, and data engineering to identify opportunities for profitable growth, improve pricing effectiveness, and enhance competitive positioning. The analyst develops analytical models, maintains pricing systems, creates dashboards and reporting solutions, and partners with Pricing, Sales, Marketing, Product Management, Finance, IT, and Analytics teams. The role requires technical expertise in SQL, Snowflake, Python, and data visualization platforms, as well as the ability to turn complex data into actionable business recommendations. This hybrid position is based in Fort Mill, South Carolina, with four days per week in the office and one day remote. Relocation assistance is not available. Applicants must be legally authorized to work permanently in the country where the role is located; visa sponsorship is not available. Final candidates must complete a criminal background check and may be required to complete a pre-employment drug screen.

Requirements

Bachelor's degree in Data Science, Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field.
At least 2 years of experience in Pricing Analytics, Business Intelligence, Data Analytics, or a related analytical role.
Strong experience with SQL, Snowflake, Python, Power BI, Tableau, and Microsoft Excel.
Experience working with large, complex datasets and analytical data models.
Strong statistical, quantitative, and problem-solving skills.
Experience developing dashboards, reports, and business intelligence solutions.
Excellent communication skills, including the ability to explain complex analyses to non-technical audiences.
Ability to work independently while managing multiple priorities.
An attached resume is required.
Must be legally authorized to work permanently in the country where the position is located at the time of application; the position is not open to visa sponsorship or existing visa holders.
Final candidate must successfully complete a criminal background check; a pre-employment drug screen may also be required.

Nice To Haves

Experience in automotive, aftermarket parts, manufacturing, or distribution industries.
Knowledge of pricing strategies, revenue management, and competitive intelligence.
Experience with machine learning, forecasting, or predictive analytics.
Experience with Alteryx, SAS, Snowpark, or cloud-based analytics platforms.
Familiarity with data warehousing, ETL processes, and enterprise data architecture.
Experience working in Agile project environments.
MBA or master's degree in Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field.
Basic proficiency with AI-enabled workplace tools and technologies.

Responsibilities

Analyze pricing, sales, margin, cost, and competitive market data to support strategic pricing decisions.
Develop and maintain pricing models to identify pricing trends, customer behavior, market dynamics, and revenue opportunities.
Evaluate competitive positioning and support pricing recommendations through quantitative analysis.
Perform pricing elasticity, profitability, and market basket analyses.
Generate pricing publication files and pricing recommendations during price book updates.
Conduct ad hoc analytical deep dives to support business-critical decisions.
Design, develop, and maintain dashboards, scorecards, and KPI reporting using Power BI and Tableau.
Build automated reporting solutions to monitor pricing performance, sales trends, margin impact, and business outcomes.
Develop analytical frameworks to identify performance trends, anomalies, and growth opportunities.
Present findings and recommendations to business stakeholders and leadership teams.
Maintain and enhance pricing systems, workflows, and analytical tools.
Perform user acceptance testing and support implementation of new pricing and analytics solutions.
Document business processes, pricing logic, and analytical methodologies.
Identify opportunities to automate reporting and improve operational efficiency.
Lead or support cross-functional projects related to pricing, analytics, and business intelligence.

Benefits

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