Live opening · Posted 7 days ago
The key details from the original listing.
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Description supplied by the original job listing.
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.
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.
Work arrangement
No
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