Key Result Areas
1. Business Performance &
- Offtake Analytics
- Track and analyze sales/offtake performance across channels (E-commerce, Quick Commerce, D2C, Contemporary Trade, etc.).
- Identify trends, growth drivers, and performance gaps through data-driven analysis.
- Generate actionable insights to support category and business growth initiatives.
1. 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.
1. 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.
1. 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.
1. 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.
1. 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.
1. 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.
📌 Business Analyst (Mumbai)
🏢 Marico
📍 Mumbai