Decision Science Analyst

Supports marketing and customer analytics initiatives through audience creation, campaign analysis, BI reporting, and data?driven insights generation.

This role within Decision Science & Analytics will support the execution of the Company’s customer and marketing analytics program. The role works collaboratively with DG Marketing teams (owned and paid media), third?party partners, and the broader decision science organization. Responsibilities include audience curation, post?campaign analytics, and basket analysis. Projects may include automating analytics processes, conducting ad hoc deep dives into category performance, and supporting broader analytics initiatives.

• Job Responsibility
• • Work cross?functionally across the Marketing department to understand business problems and determine how data and insights can support decisions. (30%)
• • Translate data and insight needs into analytics techniques to produce actionable, data?driven insights. (30%)
• • Present findings in PowerPoint or Tableau/PowerBI, effectively telling the story with data for non?technical audiences. (20%)
• • Answer ad?hoc Marketing/Vendor questions with the ability to explain analytics or retail concepts. (10%)
• • Balance quick?turn reporting requests with deeper analytical projects and prioritize to meet deadlines. (10%)
• Job Qualifications

• Basic to intermediate SQL skills.
• Basic to intermediate Python skills.
• Intermediate BI tool skills such as Tableau or PowerBI.
• Experience presenting insights to non?technical audiences.
• Experience gathering user requirements for analysis or BI dashboards.
• Experience with retail industry, marketing, or media networks preferred.
• Experience with analytics platforms such as Databricks preferred.
• Experience with code management tools such as GitHub preferred.

Education/Experience

Bachelor's degree in Data Analytics, Data Science, Engineering, Business, Statistics, or Finance. Any suitable combination of education and experience will be considered. 0–2 years of experience. Academic or research experience in data science or analytics may be considered.