Analysis Skills, Business Intelligence, Communication Skills, Cross-Functional, Data Analysis, Data Science, Data Visualization, Economics, Establish Priorities, Finance, Financial Analysis, Financial Planning and Analysis (FP&A), Loss Prevention, Merchandising, Microsoft Office, Microsoft PowerPoint, Operational Audit, Power BI, Presentation/Verbal Skills, Programming Languages, Python Programming/Scripting Language, Reporting Dashboards, Retail, Retail Merchandising, Retail Operations, Risk, Root Cause Analysis, SQL (Structured Query Language), Supply Chain Operations, Time Management, Writing Skills
Company Overview
General Summary:
Conducts in-depth data analysis with a using a cross functional knowledge of: merchandising, supply chain, and retail operations to identify areas of opportunity to mitigate product shrink and damages. Synthesizes root cause analysis to provide insights and actional recommendations and influence assortment decisions. Leads special projects and activities to minimize shrink and damage risk in our stores to help the company receive its financial goals.
Job Details
Duties & Responsibilities:
- Develop a deep understanding of shrink and damage data and work cross functionally with the Merchandising and Global Inventory teams to understand how to answer their root business problems or questions using data.
- Translate data/insights needs into analytics techniques to produce data-driven and actionable insights.
- Present findings in PowerPoint or PowerBI to stakeholders, "telling the story" With data to non- technical audiences.
- Answer ad-hoc questions as needed with the ability to explain analytics or digital concepts.
- Balance a combination of quick turn reporting asks with deeper dive analysis and prioritize appropriately to meet deadlines.
Knowledge, Skills and Abilities (KSAs):
- Ability to turn data into insights and recommendations, 'telling the story' to stakeholders and influencing decisions.
- Understanding of data visualization and design principles, communicating data dense information in a digestible way.
- Ability to turn ad hoc analysis into repeatable/scalable templates.
- Intermediate query skills in 1010data.
- Strong written and verbal communication skills.
- Proficiency in Microsoft Office Suite applications.
- Experience with dashboarding tools like PowerBI preferred.
- Experience with programming languages like SQL and python preferred.
- Experience with retail industry preferred.
Qualifications
Work Experience &/or Education:
- Bachelor's degree required, Master's in related field preferred (Business, Economics, Data Science, Engineering).
- Any suitable combination of education and experience will be considered.
- 0-2 yrs relevant professional experience in analytics and data science, retail merchandising, financial planning and analysis, asset protection, operations, required.
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Dollar General Corp
Goodlettsville, Tenn.-based Dollar General Corporation is the nation's largest small-box discount retailer. We make shopping for everyday needs simpler and hassle-free by offering a carefully edited assortment of the most popular brands at low everyday prices in small, convenient locations. Dollar General ranks among the largest retailers of top-quality brands made by America's most-trusted manufacturers, such as Procter & Gamble, Kimberly Clark, Unilever, Kellogg's, General Mills and Nabisco. With more than $18 Billion in sales, Dollar General has over 12,000 stores in 43 states and 12 distribution centers.
10,000 employees or more
http://www.dollargeneral.com/