Associate Decision Scientist, Market Share

Best Buy•Richfield, MN

8d•Hybrid

About The Position

The Associate Decision Scientist, Market Share Measurement & Analytics will be responsible for execution and delivery of Best Buy’s market measurement and industry analytics capabilities. This role will execute data analysis, visualize findings, and communicate insights to support Best Buy’s world class market share measurement and analytics function, delivering insights that facilitate strategic decisions and measure their impact. This role is hybrid, which means you will work some days on site at the Best Buy location listed on this posting and some days virtually from home or another non‑Best Buy location. The specific work arrangements vary by role and team, and the recruiter or hiring manager will provide additional details during the hiring process.

Requirements

1+ years of experience in analytics, retail, market research, or competitive intelligence.
1+ years of experience applying analytical techniques to answer business questions
1+ years of experience leveraging data science and data visualization tools, such as SQL, Tableau/PowerBI/Looker, SAS, R and/or Python
Exceptional communication and interpersonal skills, with the ability to translate complex data into impactful business insights.
Strong project management skills, capable of balancing multiple priorities and delivering high-quality results on time.

Nice To Haves

Experience working with syndicated data
Experience with advanced analytic techniques including statistical inference, predictive modeling, and big data analytics.

Responsibilities

Execute ongoing market share measurement and industry analytics for ongoing strategic insight including data acquisition, modeling, and visualization.
Integrate diverse data sources across time, category, brand, and customer dimensions to answer business questions.
Develop and maintain clear and actionable market position reporting and diagnostics for analytics leadership and business stakeholders.
Connect dots across multiple, complex internal and external data sources to deliver clear and actionable reporting, diagnostics (depending on use case), and insights that enhance category strategy and fuel category growth.
Leverage technical expertise and cross functional partnerships to manage and optimize external data sources and continually enhance, maintain, and ensure quality control of internal market share metrics and reporting.
Build and maintain strong relationships with internal clients across strategic analytics, data architecture and business stakeholders.
Partner with Data Engineering and leverage technical expertise to assess data integrity and accurate data flow.
Identify gaps, inconsistencies, and opportunities in external datasets and assist in developing methodologies to reconcile them