Growth, Analytics

4 days ago

Andheri East, Maharashtra, India coto Full time

Job Title: Growth Data, Analytics & Ops Executive

Experience: 1–2 years

Team: Growth

Employment Type: Full-time

About the Role

We're hiring a hands-on Growth, Data Analytics & Ops Executive to support how growth decisions are designed, measured, and executed.

This role sits at the centre of:

  • Lifecycle journeys (CLM)
  • Pricing and pack performance
  • Demand activation
  • Operational readiness

We operate on a contracted expert supply model, not a marketplace. Growth here is about precision, timing, and utilisation, not volume at any cost.

What You'll Do1. Growth & CLM Analytics

  • Track end-to-end user funnels:
  • Signup → first interaction → first recharge → repeat usage
  • Build cohort analysis by:
  • User type (new / repeat)
  • Category
  • Geography
  • Time window
  • Measure performance of CLM journeys across push, in-app, and messaging
  • Identify drop-offs, friction points, and high-intent segments

2. Pricing, Packs & Revenue Analysis

  • Analyse performance of:
  • Minute-based packs
  • Samplers
  • Cashback and bonus offers
  • Track:
  • Pack conversion
  • Utilisation vs breakage
  • Effective ARPU
  • Support pricing and offer experiments with clean pre-/post analysis
  • Flag cannibalisation, revenue leakage, or margin risks early

3. Growth Ops & Execution Support

  • Support operational rollout of:
  • CLM campaigns
  • Pricing changes
  • Pack launches
  • Coordinate with:
  • Growth
  • Product
  • Category / Ops teams
  • Ensure:
  • Campaigns go live as planned
  • Configs, copy, and timing are accurate
  • Act as a final sanity check before launches

This role keeps growth execution tight.

4. Demand Activation vs Planned Supply

  • Monitor demand signals against planned expert availability
  • Help identify:
  • Under-utilised supply windows
  • Risky over-activation periods
  • Support Growth in timing offers responsibly
  • Share insights that help balance experience and revenue

5. Dashboards, Reporting & Hygiene

  • Build and maintain growth dashboards:
  • Funnels
  • Revenue metrics
  • Campaign outcomes
  • Ensure:
  • Metric definitions are consistent
  • Data is clean and trusted
  • Support weekly and monthly reviews
  • Answer ad-hoc questions with speed and clarity

6. Experimentation & Learning Discipline

  • Help define metrics before experiments launch
  • Track results and document learnings
  • Maintain an experiment log:
  • Hypothesis
  • Change
  • Outcome
  • Insight
  • Contribute to decisions on what to scale or stop

What We're Looking For Must-Have

1–2 years experience in:

  • Growth analytics
  • Business analytics
  • Revenue ops
  • Product op

Comfort with:

  • Funnels and cohorts
  • SQL (basic)
  • Excel / Google Sheets
  • Strong execution discipline and attention to detail

Good to Have

  • Experience with:
  • App analytics tools (Firebase, Mixpanel, Amplitude)
  • CLM tools (MoEngage, Clevertap, WebEngage)

Exposure to:

  • Pricing or monetisation
  • Consumer internet or subscription products

What Success Looks Like

  • Cleaner growth execution with fewer mistakes
  • Faster insight-to-action cycles
  • Better utilisation of contracted supply
  • Clear visibility into what's working and why
  • Growth decisions backed by data and operational readiness

Who This Role Is Not For

  • Pure marketing roles
  • Data engineering-only profiles
  • Ops roles without analytical depth
  • Candidates uncomfortable owning outcomes

Why This Role Is a Strong Career Builder

  • Direct exposure to revenue-critical decisions
  • Founder-level visibility
  • Learn how analytics, ops, and growth intersect
  • Builds a solid path into Growth Lead, Revenue Ops, or Product Analytics roles

Job Type: Full-time

Pay: ₹50, ₹70,000.00 per month

Work Location: In person

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