Position Details
About this role
Act as an individual contributor driving analytics projects within Retail Analytics and Business Performance, using statistics and math to deliver insights that optimize revenue and efficiency.
Key Responsibilities
- Lead analytics projects and partner with LOBs
- Leverage ML and analytics to optimize business outcomes
- Communicate insights to mid-level managers
- Champion data-driven decision making
- Manage multiple projects with tight deadlines
Technical Overview
Proficient in SAS/SQL/Toad; data visualization with Tableau/Qlik; programming in R/Python; experience with IBM DB2 and Oracle databases; strong stakeholder engagement and project management.
Ideal Candidate
The ideal candidate is a senior decision scientist with 5+ years in banking/consumer lending analytics, strong SQL/SAS/Python, experience managing analytics projects, and the ability to translate insights into business actions.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of consumer lending experience, Less than 5 years of relevant experience, No proficiency in SAS/SQL
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