Naman Bisht

Data Analyst with 3.5+ years of experience in high-growth e-commerce environments (Myntra, Spinny), specialising in category performance analysis, revenue & margin optimisation, and dashboard automation. Proven ability to independently decompose complex business problems into structured SQL and Excel analyses — without waiting for instructions. Supported ~50% of Myntra's revenue business from the Central Analytics team and earned a quarterly award for data infrastructure that made L1/L2 category insights self-serve for 100+ stakeholders.

Equally comfortable doing deep-dive root-cause analysis and presenting findings to senior business reviews.

Data Analyst — Product & Growth (Events, Advertising & CRM) at Myntra (2024-12 – Present)

• Independently query large, complex datasets using SQL and Python to extract category performance metrics across campaigns, CRM, and customer engagement — no supervision required.
• Analyse app & web funnel metrics (DAU, MAU, conversion, clickstream, payment methods) to pinpoint revenue bottlenecks and surface growth opportunities.
• Build and maintain KPI dashboards tracking campaign effectiveness, event participation, and customer funnel performance for rapid stakeholder decision-making.
• Design and execute A/B tests to evaluate product features; translate user behaviour data into recommendations that improve feature adoption and ROAS.
• Monitor competitor pricing and platform assortment gaps; recommend tactical adjustments to the Category and Pricing teams.
• Contributed to launching a new product that unlocked the platform's 3x RPC segment — tracked full performance lifecycle from launch to impact.

Data Analyst — Central Demand Management & Category at Myntra (2023-10 – 2024-11)

• Served as the analytical engine for ~50% of Myntra's revenue — Women's Wear and Kids' Wear business units — promoted from BU role within one year.
• Tracked Revenue, Gross Margin, Discount, Brand and SKU performance; helped the team meet monthly and annual commercial plans.
• Developed automated real-time Google Sheets dashboards replacing manual reporting, enabling stakeholders to take same-day commercial actions.
• Built a shared SQL query repository used independently by 100+ team members — reducing repetitive analyst requests and democratising data access.
• Applied logical frameworks to unstructured category data to identify root causes behind performance dips and growth spikes, presenting findings in weekly business reviews.
• Won Myntra's MAKE IT HAPPEN Award (Quarterly) for setting up tracking and data mechanisms for WAP and Kids Wear, making L1/L2 business data actionable across teams.

Data Analyst at Spinny (2022-09 – 2023-09)

• Independently managed data across supply chain, logistics, procurement, catalogue, inventory, pricing, and fulfilment — broad commercial ownership from day one.
• Wrote complex SQL queries in Redash against Trino, PostgreSQL, and Redshift databases to extract and clean operational datasets.
• Built and maintained dashboards in Google Sheets and Looker with API-integrated automated updates, reducing manual reporting effort significantly.
• Produced KPI-driven reports (TAT, averages, process cycles) that monitored team productivity and identified operational improvement areas.
• Proactively replaced ad-hoc WhatsApp/call-based ground communication with a structured Google Forms system — improved issue tracking accuracy without being asked.

B.Tech in Mechanical Engineering – Guru Gobind Singh Indraprastha University (2017 – 2021)