Product Analyst (Web)

Kyiv

Actively hiring, first seen by us 7 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Track web product metrics like conversion, retention, ARPU and ARPPU
Analyze user funnels to find the biggest drop-off steps and their causes
Validate event tracking after releases for completeness and correct parameters
Help prepare and analyze A/B tests, from sample size to conclusions
Build and maintain Tableau dashboards and BigQuery data marts for product analytics

From the employer’s posting

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

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

Build and maintain Tableau dashboards for product metrics and funnels

Benefits in the posting

Full benefits wording

Care and support
100% medical insurance coverage
Sports and equipment reimbursement
Financial and legal support when you need it
Maternity Recovery Support Allowance
Active participation in social initiatives supporting Ukraine
Comfortable environment
Investment in your future
Reimbursement for professional courses and English classes
Hiring process
Intro call
Technical interview
Final interview
Reference check
Offer
Employment type
Full-time

From the employer’s posting.

Apply at Vacancies

Posting record

Report an error

Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 28, 20267 days ago
Recorded sightings: 8
Last seen by us: Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 5 and day 41.

From 10,930 similar postings that came down. Coming down is not always a hire.

Vacancies is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

50% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
BigQuery
Tableau
pandas

Where the posting names them

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?

- Basic statistics: distributions, confidence intervals, p-value and how A/B tests work - Python (Pandas) for data analysis - Experience with any BI tool

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

- 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

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

- 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

Upload resume Add LinkedIn

Your next step

Complete your application on jobs.lever.co. The employer’s form will show what is required.

Applying through Lever

No account needed: one form, and Lever reads your resume into the profile recruiters search.

Already applied? Track this application

Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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

Employment type

Full-time

Source details