Back
Tier-1 brand, metro location, and broad mid-level analytics skillset attract many qualified applicants.
Core analytics skills are transferable, but promotions/pricing and marketplace experience add domain specificity.
Explicit 6–9 years plus mandatory SQL/Python, experimentation and applied ML increases screening rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Drive analytics for promotion sizing, targeting, and incentives strategy to optimize ROI and performance at scale.
Build scalable frameworks to automate promo ROI measurement and performance tracking.
Analyze seller behavior and inventory patterns using advanced analytics and machine learning for informed pricing and incentive decisions.
6–9 years of experience in analytics, data science, or related roles.
Proficiency in SQL and Python/R for data analysis.
Experience with experimentation (A/B testing) and statistical methods.
Work Experience Required: 6–9 years
Strong ability to translate ambiguous business problems into structured analytical frameworks with end-to-end ownership.
Experience applying advanced analytics and machine learning techniques in pricing, promotions, or e-commerce settings.
Comfortable working with cross-functional global teams and large-scale data environments (e.g., Spark, Hive, BigQuery).