Back
Tier-1 brand, metro location, and a mid-level generalist data role increase applicant competition.
Core analytics and ETL skills transfer across industries, though retail domain experience is preferred.
Mandatory 4+ years plus required SQL, Python/R, and visualization skills enforce strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own data ETL processes ensuring accurate, reliable selection data supporting multi-billion-dollar retail decisions.
Leverage advanced SQL, Python/R, and prompt engineering with LLMs to automate catalog categorization and extract insights from vendor data.
Build large-scale datasets and run simulations to optimize SKU rationalization, automated replenishment, and competitive benchmarking.
4+ years of relevant data analytics or business intelligence experience.
Proficient in SQL and Python or R for data extraction and manipulation.
Practical experience with prompt engineering and generative AI for data problem solving or content automation.
Experience using data visualization tools like PowerBI or Tableau to communicate insights to non-technical audiences.
Experienced operating in retail or e-commerce selection management or demand forecasting environments.
Skilled in building robust ETL pipelines and structuring large datasets for complex decision modeling.
Able to design training and self-service dashboards that enable non-technical business users to make data-driven decisions independently.