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Senior Product Analyst

Full-time

appflame

Role Description

Your project:

  • MonoBoost is an appflame mobile app that helps people find and cancel unwanted subscriptions and keep their personal finances under control.
  • It's already available on the App Store and Google Play and has gathered over 100,000 users.
  • Payment analytics is one of the product's key areas, and currently has no dedicated analyst.
  • You'll be its owner: the full cycle from hypothesis to decisions that directly impact product metrics.
  • Payment orchestration is a large context that directly affects payment conversion, rebill rate, unit economics, and the business's ability to scale.
  • Here you'll systematically find specific growth points.

You will:

  • Run risk-metric analytics (VAMP, claim rate) and support A/B tests from hypothesis to decision, with full statistical analysis and assessment of side effects on ARPPU, rebill rate, and conversion.
  • Work across payment orchestration: analyze MID performance, routing, retry strategies, and decline flow, and find points to optimize payment throughput.
  • Build and develop payment-metrics reporting and turn analysis into concrete recommendations the team can pick up and implement.

Qualifications

  • 3+ years of experience as a Product or Data Analyst.
  • Confident working with SQL and real experience with large datasets in product tasks.
  • Deep understanding of statistics: experiment design, statistical significance, confidence intervals, and small-sample work.
  • End-to-end A/B testing experience, from hypothesis to decision, including impact assessment on adjacent metrics.
  • Ability to communicate conclusions clearly and with sound reasoning.
  • Self-driven with a high level of ownership: able to dive into a new domain and deliver tasks without micromanagement.
  • Experience with BI tools (Tableau, Looker, or similar).
  • English at an Upper-Intermediate level.

Requirements

  • Experience in payments or a subscription business (advantage).
  • Basic Python (pandas, numpy) for segmentation and clustering tasks that can't be solved in SQL (advantage).

Benefits

  • Remote-first setup, modern offices with activities, and all the equipment you need, plus compensation to set up your remote workplace.
  • Fair pay with regular reviews; after probation, compensation for education and English courses, Online Speaking Club, online library, and course access.
  • Medical insurance coverage, psychologist consultations, unlimited paid sick days, and 31 paid vacation days/year (incl. public holidays).
  • Corporate events, team-building activities, and paid participation in sports competitions.
Vacancy posted 14 hours ago
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