Pricing & Category Data Analyst

At Casey's, we're committed to being the best while having a good time doing it. We stay true to our roots, put service first, and build a better future for our team members, guests, and communities. We believe in treating people the way they want to be treated and taking pride in caring for one another every day. If you're passionate about turning data into meaningful business decisions and want to see the direct impact of your work, we'd love to meet you. As a Pricing & Category Data Analyst, you'll help drive strategic pricing and category decisions across nearly 3,000 stores. In this role, you'll partner closely with Category Managers and cross-functional teams to uncover insights, identify opportunities, and influence decisions that improve sales, profitability, and the guest experience. This is an opportunity for a naturally curious analyst who enjoys solving complex business challenges, telling compelling stories with data, and making recommendations that deliver measurable results. What You'll Do Transform complex data into actionable insights that support pricing strategies, category initiatives, and business objectives. Analyze sales performance, pricing effectiveness, consumer behavior, and market trends to identify opportunities for growth and profitability. Manage and optimize pricing segmentation rules and constraints within our price optimization platform. Develop and refine segmentation strategies based on guest purchasing behavior, competitive dynamics, store traffic patterns, and product categories. Build and evaluate pricing scenarios, measure outcomes, and present recommendations to Category Managers and business leaders. Proactively support key merchandising decisions related to vendor negotiations, promotions, assortment strategies, and space allocation. Lead and contribute to high-impact projects that improve pricing and category management processes across the organization. Partner with technology and analytics teams to enhance tools, reporting capabilities, and analytical processes. Monitor economic conditions, industry trends, and business performance to provide data-driven recommendations that support strategic decision-making. Present findings and insights in a clear, compelling way that drives action and influences stakeholders. This role could be filled at multiple levels depending on background and experience (Associate, Analyst, Senior). Compensation: Starting pay range:‏‏‎ $73,000 - $95,900. Actual pay may vary based on Casey’s assessment of the candidate's knowledge, skills, abilities (KSAs), related experience, education, and qualifications. Other factors impacting pay include local prevailing wages and internal equity. This position is eligible for an annual cash bonus based on company performance. Our full salary range for this role does extend beyond the hiring range listed, allowing team members the opportunity to continue to grow within the company. What you can expect when you join the Casey's Team: A transformative culture putting service first and taking pride in caring for our guests, our communities, and each other. Opportunities to use cutting edge technologies and enterprise-wide collaboration to enable our strategy and drive world class service. We're here for families! Great benefits including choices in medical plans, dental, vision, life insurance, employee stock purchase program, charitable giving programs, parental leave and an onsite Child Development Center. Competitive pay, 401k company match up to 6%, vacation & sick time, paid holidays, volunteer time, and an onsite cafeteria. Dress for your day dress code, jeans are welcomed! The opportunity to work for a big company that has not lost our small company feel. Our senior leadership team is engaged, involved and accessible! What are you waiting for? Come be a part of a company that is growing, transforming and is here for good! Requirements Bachelor’s degree in related field or equivalent experience required. At least three years of related work experience. Problem-solving, analytical, and statistical skills to tackle complex challenges around data analysis and business intelligence delivery. Data modeling, extraction, transformation, statistical and business calculation languages (SQL, Python/PySpark, and Power BI DAX/M). No/Low code data wrangling platforms (Power BI M Query/Dataflows or Databricks Workflows). Business Intelligence platforms (PowerBI or Tableau). Knowledge of data analytic cloud platforms, databases, and surrounding ecosystems (Azure or Databricks Preferred).