Sr. Category Analyst

Based in Dallas, TX, and reporting to the Supply Chain Analytics Director, FP&A, the Sr. Category Analyst will support category management and broader merchandising/operations initiatives through advanced analytics, data-driven insights, and financial modeling. This role is responsible for developing and executing analytical frameworks that evaluate category performance, test strategic hypotheses, and inform decision-making around pricing, assortment, inventory efficiency, and growth initiatives across the FleetPride organization.

This position will partner closely with Category Management, FP&A, Operations, and other cross-functional stakeholders to identify opportunities, measure business impact, and translate complex data into actionable recommendations. The Sr. Category Analyst will play a key role in building scalable analytics, reporting, dashboards, and models that support strategic, financial, and operational objectives.

Essential Tasks

• Develop, enhance, and execute category-focused analytics by leveraging expertise in data structures, SQL, and analytical methodologies to evaluate business performance and identify opportunities.
• Partner directly with Category Management, FP&A, Operations, and cross-functional stakeholders to analyze category trends, assess performance drivers, and support strategic initiatives.
• Build and maintain scenario-based models to evaluate the impact of pricing, assortment changes, promotional strategies, inventory efficiency initiatives, and category investments.
• Translate complex data into actionable insights and recommendations that drive revenue growth, margin improvement, and operational efficiency.
• Design, develop, and monitor key performance indicators, including sales, margin, inventory, vendor performance, and category productivity metrics.
• Support financial planning and forecasting processes by integrating category-level insights into broader FP&A deliverables.
• Analyze category and merchandising strategies to ensure alignment with overall company initiatives and identify opportunities to maximize sales, profit, and inventory productivity.
• Leverage internal tools and systems capabilities to build high-impact analytical tools, dashboards, and reporting packages that measure performance and model strategic initiatives.
• Analyze and understand market trends, competition, product performance, and margin opportunities, and communicate insights to management as needed.
• Collaborate with IT and data teams to ensure data accuracy, consistency, and alignment on metric definitions and reporting standards.
• Drive continuous improvement and innovation by identifying and implementing enhancements to current analytical processes, reporting, and decision-support tools.

Qualifications

Education and Professional Experience

• Bachelor’s degree required in Business Administration, Finance, Economics, Data Analytics, or a quantitative field such as Mathematics, Statistics, or Engineering.
• 3 to 6 years of relevant professional experience in analytics, FP&A, category management, merchandising, supply chain, or a related field.
• MBA is a plus.

Problem Solving and Business Acumen

• Strong ability to connect data analysis to business strategy, particularly within category management, pricing, merchandising, inventory, and commercial decision-making.
• Excellent communication skills with the ability to present complex analyses and recommendations to both technical and non-technical audiences, including senior leadership.
• Demonstrated ability to work in a fast-paced, cross-functional environment and influence decision-making through data.
• Strong analytical and problem-solving skills with the ability to manage multiple priorities and adapt in a changing environment.
• Strategic thinker with a continuous improvement mindset and strong organizational agility.

Data Analysis and Business Intelligence

• Strong experience building financial and operational models to support scenario analysis and hypothesis testing.
• Experience working with large, complex datasets to derive insights and inform strategic decisions.
• Working knowledge of statistical and analytical techniques such as