Business Analyst

Job description

Key Result Areas 1. Business Performance & Offtake Analytics - Track and analyze sales/offtake performance across channels (E-commerce, Quick Commerce, D2C, Modern Trade, etc.). - Identify trends, growth drivers, and performance gaps through data-driven analysis. - Generate actionable insights to support category and business growth initiatives. 2. Channel Performance Management - Build and maintain channel-level performance dashboards. - Evaluate channel contribution, growth, profitability, and efficiency metrics. - Recommend interventions to improve channel ROI and performance. 3. Customer Analytics & Acquisition Effectiveness - Monitor and analyze key customer metrics including: - Customer Acquisition Cost (CAC) - Customer Lifetime Value (CLTV/LTV) - Repeat Purchase Rate - Retention and Cohort Performance - Identify opportunities to improve customer acquisition efficiency and retention. 4. Gross Contribution & Profitability Analysis - Track Gross Contribution (GC) and profitability across products, channels, and customer segments. - Assess the financial impact of promotions, discounts, and pricing decisions. - Partner with business teams to optimize margin performance. 5. Scenario Planning & Business Simulations - Develop business simulations and what-if models to evaluate: - Pricing changes - Discount structures - Promotional investments - Customer acquisition strategies - Support leadership in making data-backed commercial decisions. 6. Data Visualization & Decision Support - Build automated dashboards using Power BI, Tableau, Looker, or equivalent tools. - Translate complex datasets into clear business insights and executive-ready recommendations. - Enable faster decision-making through accurate and timely reporting. 7. AI-Enabled Analytics - Leverage AI tools for data gathering, analysis, forecasting, and insight generation. - Improve productivity by automating repetitive analytical tasks. - Identify emerging opportunities through AI-assisted trend analysis. Success Measures / KPIs - Accuracy and adoption of business dashboards. - Improvement in CAC, retention, and repeat purchase metrics. - Quality and impact of commercial recommendations. - Timeliness and accuracy of business reporting. - Number of simulation-led decisions influencing pricing, promotional, or channel strategies. - Contribution to revenue growth and margin improvement initiatives. Ideal Candidate Profile - B.Tech/B.E. (IIT/NIT/Tier-1 preferred). - 1-3 years of experience in Business Analytics/Data Analytics. - Strong SQL and Advanced Excel skills. - Proficiency in Power BI, Tableau, or Looker. - Experience in high-growth consumer internet/startup environments such as Flipkart, Amazon, Blinkit, Zepto, Swiggy, Zomato, Meesho, etc. - Strong commercial acumen with the ability to connect data insights to business outcomes. - Comfortable building financial models, simulations, and decision-support frameworks.