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Day 16
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Product Data Analyst
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Listed location: Remote
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingOwn KPIs, regular reporting and player behaviour deep dives for a set of games
Design and analyse A/B tests for game mechanics and features
Build and maintain QuickSight / Power BI dashboards on ClickHouse data
Define metrics with designers, product managers and data engineers
Improve the BI setup, including data models and reporting migration
From the employer’s posting
Own analytics for a set of games or a product area: KPIs, regular reporting, deep dives into player behaviour.
Design and analyse A/B tests for game mechanics and features, from hypothesis and sample size to the final read-out.
Build and maintain dashboards in QuickSight / Power BI on top of data in ClickHouse.
Work with game designers, product managers and data engineers to define metrics and make sure tracking is correct.
Take part in improving our BI setup, including data models and reporting migration.
About Evoplay Games
Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 20, 202616 days ago
- Recorded sightings
- 16
- Last seen by us
- Nov 4, 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
Evoplay Games is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
- R
- SQL
- ClickHouse
- Power BI
- Tableau
Where the posting names them
- Solid understanding of statistics for experiments: significance, power, common pitfalls such as peeking and multiple comparisons. - Python or R for analysis beyond what SQL covers. - Ability to explain findings to non-analysts in plain language
- 3+ years in product or data analytics. - Strong SQL: complex joins, window functions, query performance on large datasets (ClickHouse experience is a plus). - Hands-on experience with at least one BI tool (QuickSight, Power BI, Tableau or similar).
What we expect: We are looking for someone who treats an analytical area as their own, not as a queue of tickets. In practice that means: - You take a question from a stakeholder and work out what decision it is meant to support, before you write any SQL. - You notice when a number looks wrong (in your report or someone else’s) and chase it to the root cause instead of passing it on.
- Design and analyse A/B tests for game mechanics and features, from hypothesis and sample size to the final read-out. - Build and maintain dashboards in QuickSight / Power BI on top of data in ClickHouse. - Work with game designers, product managers and data engineers to define metrics and make sure tracking is correct.
- Strong SQL: complex joins, window functions, query performance on large datasets (ClickHouse experience is a plus). - Hands-on experience with at least one BI tool (QuickSight, Power BI, Tableau or similar). - Solid understanding of statistics for experiments: significance, power, common pitfalls such as peeking and multiple comparisons.
Your next step
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
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.
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
Who we are:
Evoplay is one of the leading iGaming providers, recognized for its innovative approach to game development and technological solutions. The key to this success is the teamwork of like-minded people who are passionate about a common goal and love games.
Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products. Our game portfolio of 150+ titles, where each is a unique and exciting story, is presented all over the world, including Europe, Latin America, Asia, and the CIS.
The expertise we’re looking for:
- 3+ years in product or data analytics.
- Strong SQL: complex joins, window functions, query performance on large datasets (ClickHouse experience is a plus).
- Hands-on experience with at least one BI tool (QuickSight, Power BI, Tableau or similar).
- Solid understanding of statistics for experiments: significance, power, common pitfalls such as peeking and multiple comparisons.
- Python or R for analysis beyond what SQL covers.
- Ability to explain findings to non-analysts in plain language
- English (B2 or higher).
Would be a plus:
- iGaming experience and familiarity with core metrics: GGR (gross gaming revenue, total bets minus total wins), RTP (return to player, the share of bets paid back as wins), bet volume, retention.
- Experience with data quality checks or building data pipelines.
Your responsibilities will include:
- Own analytics for a set of games or a product area: KPIs, regular reporting, deep dives into player behaviour.
- Design and analyse A/B tests for game mechanics and features, from hypothesis and sample size to the final read-out.
- Build and maintain dashboards in QuickSight / Power BI on top of data in ClickHouse.
- Work with game designers, product managers and data engineers to define metrics and make sure tracking is correct.
- Take part in improving our BI setup, including data models and reporting migration.
What we expect:
We are looking for someone who treats an analytical area as their own, not as a queue of tickets. In practice that means:
- You take a question from a stakeholder and work out what decision it is meant to support, before you write any SQL.
- You notice when a number looks wrong (in your report or someone else’s) and chase it to the root cause instead of passing it on.
- You keep your dashboards and data pipelines alive after release: you know who uses them, check that they still show correct data, and retire what nobody needs.
- You raise problems and trade-offs early, with a proposed way forward, rather than waiting to be asked.
- You finish things: a piece of analysis ends with a clear conclusion and a recommendation, not just a table.
What we offer
- Corporate psychologist;
- Gifts for significant occasions;
- Legal support;
- Flexible working hours;
- Direct access to C-level and opportunity to suggest new business ideas and drive changes.
If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!
Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.