Data Analyst

Job Title: Data Analyst – E-commerce (AI & Data Engineering Focus) Experience: 3–4 Years Location: Marol, Andheri Type: Full-time | On-site Timing: 9:30 AM – 6:30 PM (Mon–Fri WFO, All Sat WFH) About Gajab: Bring the Bazaar Online Gajab is reimagining online shopping for India's next 100 million value seeking users. We're building India's first AI-powered bargaining marketplace where technology negotiates on behalf of customers and sellers, recreating the interactive, joyful bazaar experience at your fingertips. Our Mission : To bring the real "desiness" of shopping online the thrill of negotiation, the joy of getting a great deal, and the human touch of India's vibrant bazaars all powered by smart technology.

About the Role We are building a data-driven e-commerce marketplace and are looking for a Data Analyst who can own data across business, product, and operations. This role requires strong hands-on expertise in SQL, data visualization, and data pipeline management, along with a solid understanding of e-commerce business models. You will not just analyze data but also help build scalable data systems, optimize query performance, and enable AI-driven insights.

Key Responsibilities Write complex and optimized MySQL queries to extract, analyze, and transform large datasets Build and maintain dashboards and reports using tools like Power BI for business, product, and ops teams Design and manage data pipelines (ETL/ELT) to ensure clean, reliable, and timely data availability Work closely with product, business, and tech teams to translate business problems into data solutions Analyze key metrics across customer, seller, orders, retention, pricing, and supply-demand dynamics Ensure data accuracy, consistency, and integrity across systems Optimize query performance and response time for large-scale datasets Create and maintain data documentation, schemas, and table structures AI & Advanced Analytics Responsibilities Leverage AI tools to automate reporting, anomaly detection, and insights generation Work on predictive analysis use cases (demand forecasting, churn, pricing optimization, etc.) Enable self-serve analytics by building smarter data models and semantic layers Collaborate on integrating AI-driven data pipelines and workflows Must-Have Experience: 3–4 years of experience as a Data Analyst , preferably in an e-commerce or marketplace setup (must-have) Strong hands-on experience with MySQL (advanced queries, joins, window functions, optimization) Proficiency in Power BI (or similar visualization tools) Experience in building and managing data pipelines (ETL/ELT processes) Strong understanding of data structures, table design, and database architecture Deep understanding of query optimization and performance tuning Familiarity with e-commerce metrics and business flows (orders, GMV, CAC, retention, seller metrics, etc.) Exposure to AI/ML tools or data automation frameworks Good to Have Experience with Python / scripting for data analysis Exposure to cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Experience working with real-time or near real-time data systems Understanding of A/B testing and experimentation frameworks What We’re Looking For Strong problem-solving mindset with a business-first approach to data Ability to work in a 0→1 startup environment with high ownership Attention to detail with a focus on data quality and scalability Curiosity to explore AI-driven analytics and automation Ability to simplify complex data into clear, actionable insights KPIs / Success Metrics Accuracy and reliability of data systems Dashboard adoption and stakeholder satisfaction Query performance and data pipeline efficiency Turnaround time for ad-hoc analysis Impact of insights on business decisions How to Apply Send your resume to : [email protected] Subject Line : "Data Analyst - (Your Name)" What Happens Next : We'll acknowledge your application within 24-48 hours Shortlisted candidates will be contacted within 10 days.