Commercial Data Analytics Specialist

DuPont•Wimington, DE

About The Position

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers

Requirements

Bachelor’s degree in Data Science, Business Analytics, Statistics, Finance, Economics, or a related field.
Proven experience in data analysis, preferably in a commercial or customer-focused environment.
Strong proficiency in Power BI, SQL, Excel and Power Automate.
Solid understanding of pricing concepts, financial modeling, and customer analytics.
Strong analytical and problem-solving skills with the ability to interpret complex data.
Excellent communication and storytelling skills to present insights and influence decisions.

Nice To Haves

Experience with other analytical tools such as Tableau, R, or Python is a plus.

Responsibilities

Collect, clean, and analyze large datasets related to customer interactions, pricing, and sales figures.
Develop and maintain dashboards and reports using tools like Power BI to visualize key metrics and trends.
Translate stakeholder requirements into actionable visualizations and insights.
Provide actionable insights into sales performance, pricing effectiveness, and customer experience.
Support strategic pricing initiatives through value-based pricing analysis, margin optimization, and competitive benchmarking.
Conduct price elasticity and sensitivity analyses to guide pricing decisions.
Build financial models to simulate pricing scenarios and forecast revenue/margin impacts.
Assist in business case development for pricing and commercial initiatives.
Evaluate profitability, costs and P&L impact of pricing strategies.
Apply statistical methods and predictive analytics to forecast customer behavior and market trends.
Conduct segmentation analysis to support differentiated pricing and customer strategies.
Perform scenario planning and sensitivity testing to assess strategic options.
Partner with IT, sales, pricing, and commercial teams to ensure data integrity and availability.
Collaborate on improving data collection processes and systems.
Communicate findings clearly to stakeholders and influence strategic decisions.
Collaborate with the DIBM Team on the Pricing outlook