Decision Science Senior Analyst

Dollar General • Goodlettsville, TN

3h

About The Position

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 the DG Marketing teams (both owned and paid media), third parties, and the broader decision science organization. Day to day work will included providing analysis to help curate audiences for campaign exposures, perform post-campaign analysis, and conduct various basket analytics. Projects may include automating analytics processes, creating/updating customer segmentations, or ad hoc open-ended deep dives into category performance.

Requirements

• Intermediate to Advanced SQL Skills.
• Intermediate Python skills.
• Intermediate skills with BI tools such as Tableau or PowerBI.
• Experience presenting insights to non-technical audience.
• Experience gathering user requirements for analysis or BI dashboards.
• Experience working with large datasets (millions of records).
• High-level written and verbal communication skills, including data design and BI best practices.
• 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.
• 2+ years of experience. Academic/Research experience in working with data science and analytics will be considered.

Nice To Haves

• Experience with retail industry or marketing and media networks is preferred.
• Experience with analytics platforms such as Databricks is preferred.
• Experience with code management tools such as Github is preferred.

Responsibilities

• Work cross functionally across the Marketing department understand their root business problem or question and how they could leverage data/insights.
• Translate data/insights needs into analytics techniques to produce data-driven and actionable insights.
• Present findings in PowerPoint or Tableau/PowerBI to stakeholders, “telling the story”With data to non-technical audiences.
• Create automated, reusable analytics workflows from end-to-end: from developing and maintaining SQL/Python code to the final report or dashboard deliverable.
• Answer ad-hoc Marketing/Vendors questions as needed with the ability to explain analytics or retail concepts.
• Balance a combination of quick turn reporting asks with deeper dive analysis and prioritize appropriately to meet deadlines.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees