Product Analyst

Job Description
Product Analyst - Product
Are you excited about the transformative power of ecommerce in changing the landscape of
grocery retail in India? bigbasket is creating milestones in the online grocery market and has
recently re-hauled its supply chains across cities to fulfil a majority of customer orders faster.
The company's operations have expanded to 30+ cities in India, recording about 15 million
customer orders per month.
We're hiring a mid-level Product Analyst who goes beyond conventional RCAs and reporting.
This role is split between statistical modeling & simulations and core product analytics, with
direct influence on backend product and operational design.
You will work on applied modeling problems that shape how our product and operations
function at scalebefore solutions are built by engineering.
What you'll do
Modeling, Simulations & POCs
Build statistical models, simulations, and what-if frameworks to evaluate backend
product and ops changes.
Model real-world scenarios such as:
o Impact of replenishment frequency changes on out-of-stock rates
o ETA logic tweaks to improve SLA adherence
o Manpower and capacity planning for dark stores / fulfillment centers
Translate ambiguous business questions into structured models with clear
assumptions, constraints, and outputs.
Validate ideas through POCs and simulations before PMs take them to engineering.
Core Product Analytics
Own deep RCAs, metric diagnostics, and insight generation for product and
operational performance.
Design decision matrices, trade-off analyses, and dashboards that support fast,
real-time decisions.
Monitor key KPIs, identify anomalies, and recommend corrective actions with clear
impact sizing.
Partner closely with Product, Ops, Business, and Engineering to drive data-backed decisions.
What we're looking for
3+ years of experience in product analytics, data analytics, or applied analytics
roles.
Strong hands-on skills in Python, SQL, and statistics.
Experience applying statistical reasoning to real operational or product problems.
Ability to balance modeling depth with execution speed.
Clear communicator who can explain assumptions, trade-offs, and results to non-
technical stakeholders.
Nice to have
Exposure to forecasting, experimentation, or optimization problems.
Familiarity with data science fundamentals and model evaluation.
Experience working in high-scale, operations-heavy products (quick commerce,
ecommerce, logistics, supply chain).

Experience
3-7 yrs