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. Ideal Candidate Profile • B.Tech/B.E. • 2+ 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 in the beauty, wellness, personal care space • Strong commercial acumen with the ability to connect data insights to business outcomes. • Comfortable building financial models, simulations, and decision-support frameworks.