Pricing Strategy and Data Science Analyst

The Role

The Pricing Strategy Analyst will support the Pricing Strategy team by analyzing pricing, financial, and competitive data to help identify opportunities that drive profitable growth for DTNA Parts. The role will focus on building analytical insights, supporting pricing initiatives, and enabling data-driven decision-making in close collaboration with cross-functional partners.

Example Activities

• Analyzing pricing across products and customer segments
• Supporting the development and enhancement of pricing logic
• Building reports or dashboards to track pricing performance and outcomes

Collaboration

The Pricing Strategy Analyst is expected to work closely with Pricing, Marketing, Sales, Product, Finance, and Analytics teams, translating complex data into clear insights and actionable recommendations.

Learning and Growth

The role requires a strong willingness to learn DTNA’s products, markets, and pricing frameworks, while progressively taking on more complex analytical and strategic responsibilities over time.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

What You Drive

• Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources
• Develops and maintains infrastructure systems that connect internal data sets
• Maintains and enhances dashboards and reports to track pricing KPIs and communicate insights to stakeholders
• Supports ad-hoc analyses and deep dives to answer time-sensitive business questions
• Contributes to the continuous improvement of pricing tools, processes, and data quality

Knowledge Required

• Bachelor's degree in Data Science, Economics, Engineering, Statistics, Business, Computer Science, Artificial Intelligence, or a related field
• Strong analytical and problem-solving skills with attention to detail
• Proficiency in Python and SQL for data analysis, statistical modeling, and machine learning development
• Experience applying predictive analytics, machine learning, optimization techniques, or advanced statistical methods to solve business problems
• Familiarity with visualization tools (e.g., Tableau, Power BI)
• Experience with Python data science libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, or similar technologies
• Strong communication skills and ability to work collaboratively across teams
• Eagerness to learn, take feedback, and grow in a fast-paced environment

Additional Information

This position is open to applicants who can work in (or relocate to) the following location(s)- Fort Mill, SC US. Relocation assistance is not available for this position.

Schedule Type: Hybrid (4 days per week in-office / 1 day remote).