Senior Decision Scientist - Retail

Fractal Analytics • NJ

117d • $120,000 - $159,000

About The Position

We are looking for a Senior Decision Scientist in Retail, who is proficient with analytics consulting and solving complex business problems in the world of retail, particularly store operations, asset protection, merchandising and strategy. Solve business problems using data-driven models (75%) Take business problem and build structured analytical approaches to solving, inclusive of identifying needed data, analysis required, and strategy for synthesizing and presenting the analysis results Design and build analytical solutions to enable recurring analysis of business performance Effectively scope, size, and plan the development of analytical solutions and set expectations accordingly Translate high level business problems into discrete questions that can be answered by using data-driven models Identify opportunities to improve business performance through use of analytical approaches Translate output of models into recommendations for how the business can operate differently Collaborative Relationships (25%) Develop and maintain effective working relationships with members of cross-functional teams. Create a strong partnership with all areas of the organization that require interaction. Partner with stakeholders to drive implementation of recommendations from analysis Keep individual, division, and total company goals in mind when making decisions. Demonstrate and utilize strong communication skills in all interactions.

Requirements

• Bachelor’s Degree with quantitative coursework (degree in math, science or relevant field); MBA preferred.
• 3-5 years of experience in analytics, management consulting, or merchandise planning.
• Experience with Statistical Analysis.
• Excellent interpersonal, communication and organization skills.
• Self-motivated, collaborative, with a desire to learn.
• Strong project management skills.
• Proficiency in Microsoft Office (Excel, Word, PowerPoint).
• Strong sense of business/retail math and knowledge of statistical models like Regression/Clustering and Hypothesis Testing.
• Strong analytical skills with attention to detail and accuracy.
• Working knowledge of R/Python for statistical modelling.

Responsibilities

• Solve business problems using data-driven models.
• Build structured analytical approaches to solving business problems.
• Design and build analytical solutions for recurring analysis of business performance.
• Scope, size, and plan the development of analytical solutions.
• Translate high-level business problems into discrete questions for analysis.
• Identify opportunities to improve business performance through analytical approaches.
• Translate model outputs into actionable business recommendations.
• Develop and maintain effective working relationships with cross-functional teams.
• Partner with stakeholders to implement recommendations from analysis.

Benefits

• Health, dental, vision, life insurance, and disability plans.
• 401(k) Plan participation after 30 days of employment.
• 11 paid holidays.
• 12 weeks of Parental Leave.
• Free time PTO policy for sick time or vacation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees