MERCHANDISING ANALYTICS ANALYST Job Listing at Dollar General in Goodlettsville, TN (Job ID 2025-343950)

Description

Work Where You Matter: At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive. Company Overview:

Dollar General Corporation has been delivering value to shoppers for more than 80 years. Dollar General helps shoppers Save time. Save money. Every day.® by offering products that are frequently used and replenished, such as food, snacks, health and beauty aids, cleaning supplies, basic apparel, housewares and seasonal items at everyday low prices in convenient neighborhood locations. Learn more about Dollar General at www.dollargeneral.com/about-us.html.

General Summary:

The Merchandising Analytics and Business Intelligence Analyst plays a critical role in supporting Dollar General's Merchandising organization through data analysis, reporting, and collaboration with various teams. This position is responsible for guiding data-driven decisions by ensuring accuracy in promotional materials, providing actionable insights to optimize advertising and merchandising strategies, and identifying opportunities to enhance processes.

Duties & Responsibilities:

• Weekly Reporting and Performance Analysis: Generate weekly reports that measure the profitability and success of advertisements. Identify opportunities for improvement and share findings with key stakeholders.
• Data Accuracy and Verification: Review promotional materials to ensure data accuracy and identify errors. Work with teams to correct discrepancies before materials are finalized.
• Promotional Planning and Analysis: Prepare monthly promotional plans by analyzing competitor activity, historical performance, and product trends. Collaborate with team members to provide recommendations for improving promotional layouts.
• Dashboard Management: Maintain and update dashboards with performance data to provide accurate and up-to-date insights. Communicate with data providers to resolve issues and ensure data quality.
• Team Collaboration and Communication: Participate in meetings to present findings to supervisor and VP, share recommendations, and answer questions related to promotional performance. Build strong working relationships with internal teams.
• Ad Hoc Support and Analysis: Assist with special projects and provide support for process improvements as needed. Assist the Merchandising Analytics Decision Support team with requests. Collaborate with teams to address technical issues or additional data requests. 

Knowledge, Skills, & Abilities:

• Technical Skills: Proficiency in Microsoft Excel, including advanced functions (e.g., pivot tables, XLOOKUP, data modeling), and familiarity with data visualization tools (e.g., PowerBI), reporting software, and the ability to manage and update dashboards.
• Analytical Skills: Strong ability to analyze data, identify patterns, and draw actionable conclusions.
• Attention to Detail: High attention to detail to ensure data accuracy and identify errors.
• Communication Skills: Excellent written and verbal communication skills to effectively share insights and collaborate with others.
• Marketing Knowledge: Understanding of marketing principles and promotional strategies.
• Merchandising Knowledge: Understanding of merchandising principles and decision support.
• Process Improvement: Ability to evaluate current processes and recommend improvements to enhance efficiency and effectiveness.

Work Experience &/or Education:

• Education: Bachelor's degree in Business, Marketing, Data Analytics, or a related field is required. MBA is a plus.
• Experience: 1–2 years of experience in data analysis, merchandising, marketing, or a related field is preferred. Familiarity with reporting tools and data visualization platforms is a plus.