Analytics Lead

1 week ago


Mumbai, Maharashtra, India 63SATS Cybertech Full time ₹ 60,00,000 - ₹ 1,50,00,000 per year

Senior Data Analyst – Consumer App Analytics (CleverTap, Appsflyer, Metabase, SQL, Python)

Location: Mumbai / Bengaluru / Gurgaon

Company: 63SATS Cybertech Ltd.

About 63SATS

63SATS is India's fastest-growing cybersecurity powerhouse, building cutting-edge consumer and enterprise security products including CYBX — India's first Cybersecurity SuperApp with embedded insurance.

We are on a mission to protect 100+ million Indian digital users with real-time security, privacy, and fraud protection solutions.

To accelerate our consumer growth, we are hiring a Senior Data Analyst who can build our analytics engine ground-up, enabling smarter decisions, higher conversions, and better product-market fit.

Role Overview

We are looking for an experienced Data Analyst with a deep understanding of mobile app analytics, user funnels, retention modelling, attribution, and performance measurement across CleverTap, Appsflyer, and Metabase.

You will be responsible for:

  • Designing and building the full analytics infrastructure
  • Creating automated dashboards for marketing, product, and leadership
  • Owning data quality, event tracking, experimentation frameworks
  • Driving actionable insights that directly impact acquisition, activation, retention, and monetisation.

This is a high-impact role reporting directly to Growth & Product Leadership.

Key Responsibilities

  1. Analytics Infrastructure & Event Architecture

  2. Set up the complete analytics engine from scratch (CleverTap + Appsflyer + Metabase + internal DB and Mixpanel).

  3. Own event taxonomy: define, implement, validate and maintain 100% accurate event structures.
  4. Work with product & engineering to ensure optimal SDK integration and data consistency.

  5. Attribution & Performance Analytics

  6. Deep expertise in Appsflyer: callbacks, postbacks, cohorts, SKAN, in-app events, revenue measurement, fraud checks.

  7. Build models to measure CAC, ROAS, LTV, retention cohorts, churn analysis.

2.1 : Deep Experience in
Mixpanel

  1. User Behaviour & Funnel Intelligence

  2. Create dashboards for:

  3. Acquisition → Activation → Subscription → Renewal
  4. Drop-off analysis
  5. User segmentation & behavioural triggers
  6. Notification performance & lifecycle journeys (CleverTap)

  7. Experimentation & Growth Analytics

  8. Create A/B testing frameworks for product & marketing hypotheses.

  9. Analyse funnel experiments and give data-backed recommendations.
  10. Identify high-impact levers for improving retention and conversion.

  11. Data Engineering + BI

  12. Write optimized SQL queries for large datasets.

  13. Use Python for automation, data cleaning, modelling, and predictive analytics.
  14. Build dashboards on Metabase, Tableau, or Power BI.

Required Skills & Experience

Must Have

  • 4–8 years experience as a Data Analyst / Product Analyst in a high-scale consumer app (fintech, gaming, edtech, ecommerce, mobility, healthtech preferred).
  • Hands-on expertise in:
  • CleverTap (mandatory)
  • Appsflyer (mandatory)
  • Metabase
  • SQL (advanced)
  • Python (Pandas, NumPy, automation scripts)
  • BI tools: Tableau / Power BI
  • Proven experience setting up analytics for a consumer app from zero-to-scale.
  • Strong understanding of funnels, retention, segmentation, user journeys & LTV modelling.
  • Ability to convert complex data into actionable insights.
  • Experience working directly with Product & Growth teams.

Bonus Experience

  • Cybersecurity domain exposure (not mandatory).
  • Experience with predictive models and early-warning systems.
  • Worked in a startup scaling from 0 → 10M users.

What We Offer

  • The opportunity to build India's most important consumer security platform.
  • Strategic seat at the leadership table — your insights will shape PMF & growth direction.
  • Competitive compensation + performance bonuses.
  • A fast-paced, high-ownership environment under the leadership of the founders.

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