Back
Tier-2 brand, metro Hyderabad, mid-level generalist analytics role with common SQL/SAS skills increases competition.
Core analytics skills are transferable, but retail finance domain knowledge moderately increases role specificity.
Requires a quantitative degree or equivalent experience plus analytics tool knowledge, so moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Responsible for extracting, transforming, validating, and visualizing large datasets to support business growth and profitability.
Create and track business metrics using data and analytical tools to reflect current business state.
Ensure timely delivery and accuracy of analytics projects aligned with business objectives and audit procedures.
Bachelor's or Master's degree in Statistics, Economics, Mathematics, or another quantitative field (distance learning not accepted).
0 to 2 years of hands-on analytics experience OR 2 to 4 years of experience without a degree.
Academic knowledge of SQL, SAS, and/or open source concepts, with ability to write and execute queries.
Work timings require availability between 06:00 AM and 11:30 AM Eastern Time for coordination with US/Asia teams.
Capable of working with cross-functional teams using tools like SAS, Model Builder, R, and Python for analytics tasks.
Familiarity with retail finance core concepts and metrics relevant to consumer and commercial analytics.
Comfortable delivering analysis outcomes into actionable findings and recommendations.