Title: Product Analyst (Product & Growth Analytics) Description: Intch is scaling a multi-platform subscription product. We run a large number of A/B tests in parallel and work in short sprints, so we need a strong product analyst who will accelerate decision-making, increase confidence in metrics, and help make correct decisions with incomplete data.

Intch is scaling a multi-platform subscription product. We run a large number of A/B tests in parallel and work in short sprints, so we need a strong product analyst who will accelerate decision-making, increase confidence in metrics, and help make correct decisions with incomplete data.

Format: remote, timezone Msk ±1–2 hours.

Expectations

Accelerate and improve the quality of product and growth decisions:

• Reduce time-to-decision for A/B tests and funnel changes.
• Increase confidence in key metrics through tracking validation.
• Build a pragmatic approach to decision-making on small samples (guardrails, stopping rules, transparent assumptions).
• High autonomy, close collaboration with Product/Marketing/Support/Dev teams.

Role Description

Product & growth analytics (main focus)

• Analyze and improve the funnel: activation, onboarding, paywall performance, conversion, and post-purchase behavior.
• Track product metrics: retention, churn (7d/30d+), ARPU/ARPPU, etc.
• Perform segmentation (geo/platform/source/intent/behavior) and identify growth opportunities.
• Convert data into recommendations: ship / stop / iterate / extend.

Operational support for experiments (10+ parallel tests)

• Support the full experiment cycle: hypothesis → metrics → guardrails → analysis → conclusions → decision.
• Implement SLA for analytics, work in fast short sprints.
• Help prioritize tests by impact/confidence/cost of delay.

Small data decisions

• Build and apply a small-data decisioning framework:
  • primary metric + guardrails,
  • stopping rules (including “extend”),
  • sanity checks and segment checks,
  • transparent assumptions and communication of uncertainty.
• Avoid false confidence: recommendations should be explainable with an understanding of risks.

Data quality & metric confidence

• Validate tracking for critical paths: onboarding, paywall, purchase, renewal/cancel/refund, key product events.
• Identify and measure the proportion of broken events, coordinate fixes with development.
• Launch a minimum viable taxonomy/glossary: naming rules, metric definitions, unified interpretations.
• Synchronize measurements across product, marketing, and technical teams.

Communication and stakeholder management

• Work daily with Product, Marketing, Support, Dev/QA: metric alignment, result interpretation, decision-making.
• Package findings into concise, decision-ready artifacts (not a "black box").

Mandatory Requirements

• Practical experience with Amplitude, Google Analytics, Google Sheets.
• Experience in product analytics for subscription products, especially: funnel, onboarding → paywall → purchase → retention/churn.
• Strong foundation in experiment design and A/B testing: metrics, segments, guardrails, interpretation, decision. Full cycle: hypothesis → primary metric + guardrails → analysis → decision (ship / stop / iterate / extend).
• Ability to perform cohort and behavioral analysis and translate it into product actions.
• Strong communication skills: explain findings and uncertainty to non-analysts.

Nice-to-have

• SQL (ad-hoc queries, independent data extraction from DB).
• Python (quick analysis/checks automation, reproducibility).
• Experience building event taxonomy / tracking plan / data QA processes.
• Plus: SQL, Python, experience building tracking taxonomy. Extra plus: if you completed the course (specifically) from “Go Practice” on Product Analytics.

Important:

You are the sole analyst, high autonomy, close collaboration with CPO/CMO. Comfort with 10–12 parallel tests is mandatory.

If speed, responsibility, and growth impact appeal to you, send your CV to HR via Telegram: @yakovlevaarinaa; or to our email: job@intch.org