DOLLAR GENERAL

DECISION SCIENCE ANALYST SR.

Requisition ID
2022-252860
Job Location (Posting Location) : Address
100 MISSION RDG
Job Location (Posting Location) : City
GOODLETTSVILLE
Job Location (Posting Location) : State/Province
TN
Job Location (Posting Location) : Postal Code
37072
Category
Finance and Accounting

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. Dollar General operates more than 18,000 stores in 47 states, and we’re still growing. Learn more about Dollar General at www.dollargeneral.com.

 

This role within Decision Science & Analytics will support the execution of the Company’s customer and marketing analytics program.  This role will work collaboratively with third parties, marketing team and the broader decision science organization to identify audiences for campaign exposures, and to perform after campaign lift and as well as basket level analysis.

Job Details

  • Work with external vendors in extracting customer audience size for marketing campaigns
  • Work cross functionally across the Marketing department to identify customer data needs and provide analytics and insights.
  • Assists in performing after-campaign analysis, reporting, and 'tell the story’ Using advanced analytics methodologies. Assist in creating and maintaining dashboards and business reports.
  • Answer ad-hoc Marketing/Vendors questions as needed.

Qualifications

 

·         Intermediate to Advanced SQL Skills

·         Intermediate to Advanced programming language in Python or

·         Experience with Alteryx and/or Tableau preferred

·         High-level written and verbal communication skills

·         Proficiency in Microsoft Office Products 

 

Education: Bachelor's degree from an accredited college or university in Data Analytics, Data Science, Business, Statistics, or Finance. Any suitable combination of education and experience will be considered.

Experience: 2+ years of experience. Master’s degree in Data Analytics, Data Science, Business, Statistics, or Finance can be substituted for years of experience. Academic/Research experience in working with data science and analytics will be considered.

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