Sr. Sales Analyst - Home Depot

Masco Corporation•Atlanta, GA

1d•$68,374 - $104,459•Hybrid

About The Position

The Senior Sales Analyst supports decision intelligence and enablement by transforming data into actionable insights, decision-ready recommendations, and tools that help internal teams and customers make faster, smarter, and more consistent business decisions. This role combines analytics, business storytelling, forecasting, and cross-functional partnership to improve performance, strengthen planning, and enable execution.

Requirements

Bachelor’s degree with concentration in business, analytics, economics, statistics, or a related field required
Minimum 5 years of experience in a data, analytics, business intelligence, or decision support role required.
Retailer/supplier experience required.
Strong proficiency with Microsoft Office Suite and analytics tools, including Power BI, Advanced Excel, Tableau, and other reporting or business intelligence platforms.
Ability to pull, blend, transform, and validate data from multiple sources to create trusted, decision-ready information.
Experience creating visuals and analytical narratives that explain what the data is saying, highlight actionable insights, and support decisions across multiple levels of the organization.
Advanced skills in retail metrics and business math required.
Ability to frame business questions, evaluate trade-offs, and translate analysis into practical recommendations that enable action.
Ability to build and foster strong customer and cross-functional partner relationships.
Excellent written and oral communication skills.
Strong attention to detail
Ability to prioritize multiple projects and meet deadlines.
Ability to work from a DFC location (if within 55 miles from home) Tuesday through Thursday
Willingness to travel for in-person meetings and events as needed.

Nice To Haves

master’s degree a plus.
Experience in merchandising, category management, supply chain, or forecasting a plus.
Exposure to inventory, pricing, sales performance, and retail decision processes.
Experience with predictive modeling, scenario analysis, and prescriptive analytics preferred.
Experience using AI-enabled tools and automation to enhance analysis, streamline reporting, and improve decision support preferred.

Responsibilities

Collect, integrate, and analyze data to identify trends, patterns, risks, and opportunities that inform business decisions.
Create and maintain reports, dashboards, and decision-support tools for internal and external teams.
Assist in short-term sales forecasting and scenario analysis using historical data and business drivers.
Report on Point of Sale (POS), promotions, assortment, pricing, and category performance to support planning and execution.
Use visualizations and business storytelling to translate data into clear insights, recommended actions, and measurable outcomes.
Enable sales, marketing, and cross-functional teams to make faster, more informed, and more consistent decisions through analytics and insights.
Provide analytical support for internal and external customer meetings, including preparation of insights, recommendations, and follow-up actions.
Act as a liaison between the business unit and retailer(s), translating business questions into analytical solutions and decision-ready outputs.
Lead deep-dive analyses to uncover growth opportunities, root causes, and market trends, and recommend actions to improve performance.
Build predictive models, scenario plans, and decision frameworks for short- and long-term sales planning.
Present findings, trade-offs, and strategic recommendations to senior leadership and business partners.
Work closely with marketing, finance, operations, and customer teams to align analytics with business priorities and enable execution.
Identify process inefficiencies, gaps in data availability, and decision bottlenecks, and recommend improvements that strengthen decision intelligence and business enablement.
Guide peer analysts, promote analytical best practices, and lead complex projects that improve insight generation and decision effectiveness.