Job Profile: Data Analyst(Founder Office)
Location: Gurgaon
Years of Experience: 2-4 years
About Fairdeal.Market
Fairdeal.Market is a rapidly growing B2B quick commerce company offering a wide range of
products with delivery times as short as 20 minutes. Our mission is to ensure that every
shopping bag worldwide can be filled efficiently and sustainably.
Job Summary
We are seeking a Business Analyst who will act asthe bridge between data, business, and
execution. The role requires a strong analytical mindset with the ability to generate
actionable insights that improve sales, category growth, merchant retention, and
operational efficiency.
Key Responsibilities
• Collect, analyze, and interpret sales, GMV, AOV,retention, and merchant
engagement data to generate actionable insights.
• Build and automate dashboards, reports, and trackers for sales, category, and
operations teams.
• Conduct cohort analysis (new vs. repeat merchants, SKU penetration, campaign
effectiveness).
• Work closely with category managersto optimize pricing, margin, and SKU
assortment.
• Partner with sales and operationsteamsto identify performance gaps and
recommend corrective actions.
• Support management in monthly/quarterly reviews with data-backed presentations.
• Collaborate with Tech/Product teamsto define requirements for new reports, tools,
and system enhancements.
• Run deep dives on campaign effectiveness (e.g., focus brand, incentive programs,
and lucky draw campaigns).
• Monitor KPIs such as merchant activation, repeat %, fill rate, inventory days, and
order fulfillment metrics.
AI WORKFLOWS & RESPONSIBILITIES
• Design and implement AI-assisted reporting pipelines using tools like ChatGPT,
Claude, or Gemini to auto-summarize weekly business performance.
• Build prompt-based workflows to extract structured insights from unstructured
data (customer feedback, ops logs, vendor communications).
• Use AI coding assistants (GitHub Copilot, Cursor) to accelerate SQL query
generation, data cleaning scripts, and dashboard automation.
• Identify opportunities to embed AI agents into operations such as demand
forecasting, inventory alerting, and pricing optimization
• Collaborate with tech teams to prototype agentic workflows that connect internal
data systems with AI APIs.
• Evaluate and onboard new AI/automation tools relevant to the quick commerce
space and present ROI cases to leadership.
• Key Skills & Qualifications
• Bachelor’s degree in Business, Economics, Engineering, or related field (MBA
preferred).
• 2–4 years of experience in business analysis, category management, or operations
analytics in e-commerce/quick commerce/FMCG.
• Strong command of Excel, SQL, Power BI/Tableau
• Experience in handling large data sets, forecasting, and cohort analysis.
• Excellent problem-solving, communication, and stakeholder managementskills.
• Strong understanding of sales funnels, merchant lifecycle, and B2B distribution
dynamics
What We Offer
• A high-growth environment with direct exposure to leadership.
• Opportunity to shape the future of B2B commerce with data-driven strategy.
• Fast-paced, entrepreneurial culture with steep learning curve.
