Data Science & Business Intelligence Generalist II

Daimler Truck•Fort Mill, SC

1d•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. This role combines pricing strategy, business intelligence, and data engineering capabilities to identify opportunities that drive profitable growth, improve pricing effectiveness, and enhance competitive positioning. The analyst will develop analytical models, maintain pricing systems, create dashboards and reporting solutions, and partner closely with Pricing, Sales, Marketing, Product Management, Finance, IT, and Analytics teams. The role requires strong technical expertise in SQL, Snowflake, Python, and data visualization platforms, along with the ability to translate complex datasets into actionable business recommendations.

Requirements

Bachelor's degree in Data Science, Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field.
2-4 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 with the ability to explain complex analyses to non-technical audiences.
Ability to work independently while managing multiple priorities.

Nice To Haves

Experience within 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 Masters in Analytics, Statistics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, or a related field

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 to support pricing initiatives.
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 opportunities for growth.
Present findings and recommendations to business stakeholders and leadership teams.
Maintain and enhance pricing systems, workflows, and analytical tools.
Perform user acceptance testing (UAT) 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.