Freelance Python Data Analysis Jobs in Lancaster, SC

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

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.

At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we're building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA's legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future - building a cleaner, safer and more efficient tomorrow for all.

That is what we are working toward - for all who keep the world moving.

Additional Information

• This position is not open for Visa sponsorship or to existing Visa holders
• Applicants must be legally authorized to work permanently in the country the position is located in at the time of application
• Final candidate must successfully complete a criminal background check
• Final candidate may be required to successfully complete a pre-employment drug screen
• Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions
• EEO - Disabled/Veterans

Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.

For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.