Product Analyst (Web)

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?

In this role you will:

• 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

It’s all about you:

• 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

Would be a plus:

• Hands-on experience analyzing A/B tests
• Experience with Tableau and BigQuery
• Using AI tools (e.g., Claude) in your analytics routine

What we offer: Care and support

• 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

Comfortable environment

• 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

Investment in your future

• 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

Hiring process:

• Intro call
• Technical interview
• Final interview
• Reference check
• Offer