Product Analyst (Web)

Ukraine·KyivRemoteFull-timemid

Data AnalystData

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Quick Summary

Overview

We are looking for a Product Analyst (Web) to join the analytics team behind our web video chat platform, which has 1M+ monthly visitors from the USA to Australia and ranks in the top 5 in its niche.

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Data AnalystData

We are looking for a Product Analyst (Web) to join the analytics team behind our web video chat platform, which has 1M+ monthly visitors from the USA to Australia and ranks in the top 5 in its niche. Your analysis won’t end up as a report nobody opens. Your findings on funnels, retention and monetization go straight into product decisions, and every A/B test you help run is checked on real global traffic. You’ll grow alongside experienced analysts and Product Managers and use a modern stack (BigQuery, Tableau, Python). You’ll quickly move from tracking metrics to explaining why they change and what the team should do next.

About our product: Since 2020, we’ve built a global connection platform uniting people across religions, races, and cultures. We’ve grown to 1M+ visitors monthly, with users spanning the globe from the USA to Australia.
Ranked in the top 5, we deliver flawless video quality and 99.99% uptime, even during massive traffic spikes. Completely ad-free, with intuitive UX/UI.
AI content moderation and strong data protection back every connection we support.
Our next target: become one of the top 3 international social networking platforms.
Are you in?

Track and analyze key web product metrics: conversion, retention, ARPU, ARPPU

Analyze user funnels to find the steps with the biggest drop-offs and the reasons behind them

Validate event tracking after releases: events arrive, parameters are filled in correctly, no gaps or duplicates

Maintain the event and parameter structure together with product and development teams, so data flows correctly into reporting

Investigate metric changes, separate real shifts in user behavior from tracking issues, and explain the causes to the product team

Take part in preparing and analyzing A/B tests: sample size, split validation, results calculation and conclusions

Research user behavior through segmentation, cohort analysis and feature usage

Formulate and validate hypotheses for product and monetization improvements together with Product Managers

Build and maintain Tableau dashboards for product metrics and funnels, and prepare ad-hoc reports and data exports

Create and maintain BigQuery data marts for product analytics

Strong SQL skills: joins, window functions, CTEs, aggregations

Basic statistics: distributions, confidence intervals, p-value and how A/B tests work

Python (Pandas) for data analysis

Experience with any BI tool

Understanding of product metrics: retention, conversion, ARPU, LTV, cohorts

Understanding of web analytics: events, sessions, funnels, UTM tags

Attention to detail: you validate data before drawing conclusions

Ability to explain numbers in plain language and turn them into clear conclusions

Proactive mindset and drive to grow in product analytics

Hands-on experience analyzing A/B tests

Experience with Tableau and BigQuery

Using AI tools (e.g., Claude) in your analytics routine

20 paid days off, 15 days off due to sickness, and 6 extra days for family moments that matter
Up to 10 additional days off for public holidays
100% medical insurance coverage
Sports and equipment reimbursement
Financial and legal support when you need it
Maternity Recovery Support Allowance
Position retention and support for teammates who joined the Armed Forces of Ukraine
Active participation in social initiatives supporting Ukraine
Team spirit beyond the screen: company marathons, themed masterclasses, and teambuildings people actually look forward to

Fully remote cooperation by design: our processes are built around it. Kyiv hub is there if you want it
Modern equipment, or reimbursement for your own setup

Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking and streaming niche
Clear KPI system, so you always know what “good” looks like, no guessing games
Performance-based reviews and Individual Development Plans (IDPs)
Reimbursement for professional courses and English classes
Corporate library, book club, and regular knowledge-sharing events
AI is an integral part of our work culture. We invest in modern AI tools, equip our teams with the skills to use them effectively, and foster an environment where technology helps people achieve better results faster