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 :

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.