Pricing Strategy and Data Science Analyst
Listed on 2026-07-25
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IT/Tech
Data Analyst, Data Science Manager
Pricing Strategy and Data Science Analyst
United States, South Carolina, Fort Mill
Jul 21, 2026
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.
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.
We Take Care of Our Team
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; 401kcompany contribution with company match up to 6% as well as non-elective company contribution of3 - 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-termand 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, Num Py, Scikit-Learn, Tensor Flow, 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…
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