Sr. Category Analyst

*** This role is based in Irving, TX. No relocation assistance will be provided.***

***This position is not eligible for immigration sponsorship now or in the future.***

Hybrid Policy: Monday - Thursday onsite, Friday work from home.

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 regression, forecasting, clustering, or related methodologies is preferred.
• Experience with Python for data analysis, modeling, or automation is a plus, but not required.

Tools and Technical Skills

• Advanced expertise in Microsoft Excel required.
• Strong hands-on experience with SQL Server or similar database environments.
• Proficiency in business intelligence platforms, including Microsoft Power BI (preferred), Tableau, Qlik, or Looker.
• Experience with data transformation and integration tools such as Power Query or SSIS is a plus.
• Familiarity with modern data platforms such as Microsoft Fabric is highly desirable.

This job description in no way states or implies that these are the only duties to be performed by this employee. He or she will be required to follow any other instructions and to perform any other duties requested by his or her supervisor.