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.

- 1-3 years of experience in Business Analytics/Data Analytics.

- Solid 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.

📌 Business Analyst (Mumbai)
🏢 Marico
📍 Mumbai