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United Tech via Lever

Product Analyst (Web)

Kyiv Level not stated
still open verified 1d ago posted 4d ago seen 3h ago
Apply at jobs.lever.co

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 4d ago

The date the source published, not the day we noticed it (2026-10-28). Last seen at its source 3h ago.

We have tracked this listing since 28 Oct 2026 (4 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.

Is it remote?

Marked remote on the employer's board

Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.

Who may apply?

Kyiv

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay £71.9k–122.4k/yr

Middle 50% of 20 listings that do state pay — Product · all levels · EMEA · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

BigQueryData AnalysisPandasProduct AnalyticsPythonSQLStatisticsTableau

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

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
    Apply at jobs.lever.co

    At United Tech

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