Product Analyst, Lead (Bengaluru)

Product Analyst, Lead (Bengaluru)

13 Nov
|
Triplespeed
|
Bengaluru

13 Nov

Triplespeed

Bengaluru

About us

We incubate viral consumer brands and scale them until they become independent companies.

In 12 months we took three apps, in three unrelated verticals, from zero to over $70M in combined annual run rate. We’re one of the fastest-growing bootstrapped companies in the world.

The role

We’re looking for a Product Analyst, Lead to own product and growth analytics across our portfolio of consumer apps from our team in Bengaluru.

This is part analyst, part data scientist, part growth strategist. Our apps span both subscription and transactional business models: consumer subscription apps with trials, paywalls and renewals, and high-spender transactional apps with VIP tiers and repeat purchases. You’ll define the metrics, run the experiments, model LTV and retention, and tell product, growth and UA leads what to do next.

Your work will be judged by one thing: whether our decisions get better and our apps grow faster because of it.

What you’ll do

- Own product and growth analytics across our portfolio of consumer apps, from metric definitions to the decisions they drive.
- Define the source-of-truth metrics: conversion rates across every funnel, trial-to-paid, renewal, churn, ARPU, payback and LTV.
- Build the dashboards and North Star views that leadership and every product team use daily.
- Design and analyze A/B tests with real statistical rigor: power, guardrails, variance reduction (e.g. CUPED), segmented lift and transparent readouts.
- Analyze onboarding, paywalls, pricing, packaging and offers, and turn the results into the next test.
- Own cohort, retention and LTV analysis for subscription apps (trials, renewals, churn) and for transactional apps (spend tiers, repeat purchase, high spenders).
- Model and simulate VIP and loyalty programs: spend tiers, rewards, costs and their effect on revenue and retention.
- Build predicted LTV (pLTV) and forecasting models with our data engineering team, and get them feeding paid acquisition decisions.
- Work closely with UA on attribution,



incrementality and unit economics, and keep improving how we measure what paid spend really drives.
- Use AI and LLM tooling to automate analysis and experiment readouts so the team moves faster.
- Mentor analysts, raise the bar on analytical quality and help build the analytics team.

Who we’re looking for

- 5+ years in product, growth or data analytics, ideally at a consumer app with millions of users.
- You have built or owned LTV, retention or pLTV analytics for a consumer app.
- Expert SQL and strong Python (pandas, statsmodels, scikit-learn or similar).
- Strong quantitative background: statistics, econometrics, engineering, economics, math or quantitative finance.
- Deep experience designing and analyzing experiments, and knowing when a result is real.
- Fluent in subscription and/or transactional app economics: trials, paywalls, renewals, churn, spend tiers, repeat purchase and payback.
- Comfortable with modern data stacks and BI tools (BigQuery or Snowflake, dbt, Looker, Amplitude, Mixpanel or similar).
- Clear communicator who can take an analysis from question to executive readout to decision.
- Low ego, fast-moving and high-ownership. You care about the craft, but you care more about whether the product grows.

Useful but not required

- Experience with VIP, loyalty or high-spender programs, in gaming, real-money gaming, betting, fantasy or similar apps.
- Experience with paid acquisition measurement: MMPs, SKAN, incrementality testing or marketing mix modeling.
- Experience building forecasting, simulation (e.g. Monte Carlo) or ML models in production.
- Experience using LLMs or AI agents to automate analytics work.
- A background in quantitative trading or other high-stakes, data-heavy decision making.

What you get

- Own analytics across a portfolio of consumer apps generating over $70M in annual run rate.
- Work across subscription and transactional apps, product and growth, from a single experiment to the pLTV model that steers paid acquisition.
- A direct path to leading the analytics team at one of the fastest-growing bootstrapped companies in the world

📌 Product Analyst, Lead (Bengaluru)
🏢 Triplespeed
📍 Bengaluru

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