Time since we first saw it
Day 13
Similar jobs usually come down between day 7 and day 56.
From 10,195 similar postings that came down. Coming down is not always a hire.
Middle/Senior Data Analyst
Reads like a Data Scientist role: models and experiments.
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
- Not stated
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
Responsibilities: - Work closely with product managers, game designers, monetization specialists to formulate and prioritise hypotheses; - Design and analyse A/B tests, from hypothesis formulation and sample size estimation to interpretation and rollout recommendations; - Analyse and monitor key product metrics, investigate changes, and identify opportunities for growth; - Research player behaviour, progression and game balance to inform product improvements; - Turn analytical findings into actionable recommendations and communicate them clearly to stakeholders; - Use AI-assisted tools to accelerate analytical workflows while ensuring the accuracy of results. Requirements: - Strong quantitative background in mathematics, statistics and A/B test design; - Experience using Python for data analysis; - Strong SQL skills for querying and analysing large datasets; - Understanding of key product metrics, including retention, engagement, and monetization; - Practical experience using AI tools for coding, analysis, or automation; - Russian language is a necessity; - English at Intermediate level or above. Will be a plus: - Experience in mobile games and mobile app analytics; - Experience with cohort analysis, audience segmentation, LTV forecasting, and evaluating user acquisition performance; - Experience leading analytical projects from problem definition to implementation and impact assessment.
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 22, 202613 days ago
- Recorded sightings
- 13
- 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
Easybrain is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordYour next step
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% 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 Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Easybrain is looking for a Data Analyst to help shape product decisions across our mobile games.You will explore player behaviour, look for growth opportunities and design experiments that improve player experience and business performance.
Responsibilities:
- Work closely with product managers, game designers, monetization specialists to formulate and prioritise hypotheses;
- Design and analyse A/B tests, from hypothesis formulation and sample size estimation to interpretation and rollout recommendations;
- Analyse and monitor key product metrics, investigate changes, and identify opportunities for growth;
- Research player behaviour, progression and game balance to inform product improvements;
- Turn analytical findings into actionable recommendations and communicate them clearly to stakeholders;
- Use AI-assisted tools to accelerate analytical workflows while ensuring the accuracy of results.
Responsibilities:
- Work closely with product managers, game designers, monetization specialists to formulate and prioritise hypotheses;
- Design and analyse A/B tests, from hypothesis formulation and sample size estimation to interpretation and rollout recommendations;
- Analyse and monitor key product metrics, investigate changes, and identify opportunities for growth;
- Research player behaviour, progression and game balance to inform product improvements;
- Turn analytical findings into actionable recommendations and communicate them clearly to stakeholders;
- Use AI-assisted tools to accelerate analytical workflows while ensuring the accuracy of results.
Requirements:
- Strong quantitative background in mathematics, statistics and A/B test design;
- Experience using Python for data analysis;
- Strong SQL skills for querying and analysing large datasets;
- Understanding of key product metrics, including retention, engagement, and monetization;
- Practical experience using AI tools for coding, analysis, or automation;
- Russian language is a necessity;
- English at Intermediate level or above.
- Strong quantitative background in mathematics, statistics and A/B test design;
- Experience using Python for data analysis;
- Strong SQL skills for querying and analysing large datasets;
- Understanding of key product metrics, including retention, engagement, and monetization;
- Practical experience using AI tools for coding, analysis, or automation;
- Russian language is a necessity;
- English at Intermediate level or above.
Will be a plus:
- Experience in mobile games and mobile app analytics;
- Experience with cohort analysis, audience segmentation, LTV forecasting, and evaluating user acquisition performance;
- Experience leading analytical projects from problem definition to implementation and impact assessment.
Benefits:
Besides the engaging tasks, support from experienced colleagues, challenge, and drive, we offer:
- Full support in relocating to countries where our offices are located;
- High-end market salary with performance bonuses;
- All needed equipment;
- Regular company events and monthly Friday meetings;
- Social benefits (private medical cover, sports reimbursement, etc.);
- Paid vacations, sick days;
- English, Greek, and Polish online language classes;
- Reimbursement for education and professional development.
- Experience in mobile games and mobile app analytics;
- Experience with cohort analysis, audience segmentation, LTV forecasting, and evaluating user acquisition performance;
- Experience leading analytical projects from problem definition to implementation and impact assessment.
Benefits:
Besides the engaging tasks, support from experienced colleagues, challenge, and drive, we offer:
- Full support in relocating to countries where our offices are located;
- High-end market salary with performance bonuses;
- All needed equipment;
- Regular company events and monthly Friday meetings;
- Social benefits (private medical cover, sports reimbursement, etc.);
- Paid vacations, sick days;
- English, Greek, and Polish online language classes;
- Reimbursement for education and professional development.
Employment type
Analytics
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
Limassol
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting