Posted:5 days ago|
Platform:
On-site
Full Time
Roles and Responsibilities :
Analyze category performance across sales channels (D2C, marketplaces,
offline).
Track KPIs like revenue, ASP, margin, sell-through, stock cover, and
inventory turns.
Conduct pricing, discount, and profitability analysis at SKU and category
levels.
Identify top-performing or underperforming products and uncover
performance drivers.
Build dashboards and automated reports for category health and
inventory planning.
Collaborate with marketing, SCM, and category teams to inform business
decisions.
Perform trend, seasonality, and cohort analysis to improve demand
forecasting.
Use customer behavior data (views, clicks, conversions) to support
assortment planning.
Automate reporting workflows and optimize SQL/Python pipelines.
Support new product launches with benchmarks and success prediction
models.
Skills & Qualifications :
0–2 years of experience in a data analytics role, preferably in E-
commerce or Retail.
Proficiency in MySQL: writing complex queries, joins, window functions.
Advanced Excel/Google Sheets: pivot tables, dynamic dashboards,
conditional formatting.
Experience in Python: Pandas, automation scripts, statsmodels/scikit-
learn.
Comfort with data visualization: Power BI / Tableau / Looker Studio.
Understanding of product lifecycle, inventory metrics, pricing levers, and
customer insights.
Strong foundation in statistics: descriptive stats, A/B testing, forecasting
models.
Excellent problem-solving, data storytelling, and cross-functional
collaboration skills.
Preferred / Bonus Skills :
Experience with Shopify, Magento, or other e-commerce platforms.
Familiarity with Google Analytics 4 (GA4).
Knowledge of merchandising or visual analytics.
Exposure to machine learning (e.g., clustering, success prediction).
Experience with VBA or Google Apps Script for reporting automation.
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