Inside 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 include analyzing pricing across products and customer segments, supporting the development and enhancement of pricing logic, and building reports or dashboards to track pricing performance and outcomes.

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. 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.

Position offers a starting salary range of $86,000 - $110,000 USD

Pay offered dependent on knowledge, skills, and experience

Benefits include annual bonus program; 401k 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.

What You Drive at DTNA

• 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; creates new data collection frameworks for structured and unstructured data
• Analyze pricing, sales, cost, and competitive data to support strategic pricing initiatives.
• Build and maintain analytical models to evaluate competitive position, pricing scenarios, and performance trends
• Develop, maintain and enhance dashboards and reports to track pricing KPIs and communicate insights to stakeholders
• Partner with Pricing, Marketing Sales, Product, Finance, and Analytics teams on cross-functional initiatives
• Support ad-hoc analyses and deep dives to answer time-sensitive business questions
• Contribute to the continuous improvement of pricing tools, processes, and data quality

Knowledge You Should Bring

• 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.
• Experience handling large datasets; familiarity with visualization tools (e.g., Tableau, Power BI) is preferred.
• Experience with Python data science libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, or similar technologies is preferred.
• Strong communication skills and ability to work collaboratively across teams.
• Eagerness to learn, take feedback, and grow in a fast-paced environment.
• Contribute to the continuous improvement of pricing tools, processes, and data quality.

Exceptional Candidates Might Have

• Experience with Generative AI, Large Language Models (LLMs), prompt engineering, or AI-assisted analytics solutions.
• Experience developing and deploying machine learning models in Azure, AWS, or Google Cloud environments.
• Experience with advanced analytics techniques such as forecasting, optimization, price elasticity modeling, recommendation systems, or causal inference.
• Master's degree in Data Science, Artificial Intelligence, Statistics, Operations Research, Computer Science, or a related quantitative field.
• The ideal candidate is a highly motivated early-career analyst who enjoys working with data and solving business problems. They are collaborative, intellectually curious, and excited to build a foundation in pricing strategy within a leading OEM organization.

#LI-TN1 #LI-Hybrid

Where We Work

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). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.