Senior Data Analyst

Datacontroller Toogeza Ltd.; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Flexible schedule with remote mode

25 working days of vacation

15 sick leaves

1 paid day off for celebrating your生日

Job summary

Spinlab seeks a seasoned Data Analyst to transform game and player data into actionable business insights. You will work with Data Scientists, Engineers, and Product Managers to develop predictive models, run A/B tests, and define key metrics for new features.

Remote-friendly, you’ll contribute to data-driven decisions and product growth across clients. Ideal candidates have strong SQL, Python, and visualization skills, plus experience with large datasets and distributed computing.

Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of experience as a Data Analyst or Data Scientist, preferably in gaming or tech.
• Strong analytical and problem-solving mindset; ability to find the story in the data.
• Experience with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar).
• Strong hands-on experience with SQL for complex queries and data wrangling.

Responsibilities

• Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions.
• Translate findings into practical recommendations for product improvements, highlighting what works, what doesn’t, and what opportunities to explore.
• Perform deep-dive investigations into performance anomalies or game features to explain what happened and why.
• Collaborate closely with Data Scientists, Data Engineers, and Product Managers to shape hypotheses, validate them with data, and contribute hands-on to data science development tasks.
• Develop robust statistical and causal inference analyses to identify drivers of user behavior.
• Contribute to the development and validation of predictive models, including feature engineering, dataset preparation, model evaluation, and A/B testing, in collaboration with Data Scientists.
• Communicate complex insights in a simple, compelling way to both technical and non-technical audiences.
• Help define metrics for new products or features, expanding high-level requirements with your analytical thinking and product insights.
• Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions.

Skills

Analytical thinking

SQL

Python

Tableau/Power BI

BigQuery/Spark/Hive

A/B testing

Machine learning basics

English B2+

Education

Bachelor's or Master's in Statistics/Mathematics/CS/Economics

Tools

BigQuery

Spark

Hive

Tableau

Power BI

Python (pandas, scikit-learn)

Job description

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

We are currently looking for a Data Analyst for Spinlab.
Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. They collect and process data using advanced methods and technologies to provide their clients with clear, actionable recommendations based on real metrics. SpinLab's goal is not just to collect data but to transform it into meaningful business insights that improve efficiency and help products grow.

Responsibilities:

• Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions.

• Translate findings into practical recommendations for product improvements, highlighting what works, what doesn’t, and what opportunities to explore

• Perform deep-dive investigations into performance anomalies or game features to explain what happened and why

• Collaborate closely with Data Scientists, Data Engineers, and Product Managers to shape hypotheses, validate them with data, and contribute hands‑on to data science development tasks.

• Develop robust statistical and causal inference analyses to identify drivers of user behavior.

• Contribute to the development and validation of predictive models, including feature engineering, dataset preparation, model evaluation, and A/B testing, in collaboration with Data Scientists.

• Communicate complex insights in a simple, compelling way to both technical and non-technical audiences.

• Help define metrics for new products or features, expanding high-level requirements with your analytical thinking and product insights.

• Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions

Requirements:

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

• 5+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry.

• Strong analytical and problem-solving mindset; ability to find the story in the data: uncovering trends and explaining them in clear business terms.

• Experience working with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar).

• Strong hands‑on experience with SQL for complex queries and data wrangling.

• Solid data visualization skills (Tableau/Power BI) and advanced Python, with practical experience using common data science libraries (e.g., pandas, scikit-learn).

• Strong experience of experimental design and statistical testing (A/B testing, hypothesis testing, confidence intervals).

• Working knowledge of machine learning fundamentals (supervised learning, feature engineering, training/validation, evaluation metrics) and familiarity with causal inference and uplift modeling.

• Hands‑on experience contributing to ML workflows or model development, with the ability to implement and test well‑scoped tasks alongside Data Scientists.

• Practical experience using AI coding assistants or other AI tools in day-to-day work, with a focus on automation, efficiency, and output quality.

• English B2+

Will be a plus:

• Knowledge of the iGaming industry or understanding of slot game mechanics

• Ability to look at games from players' point of view

• Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact.

Benefits:

• Flexible schedule with remote mode.

• 25 working days of vacation.

• 15 sick leaves.

• 1 paid day off for celebrating your birthday.

• Paid Ukrainian National Holidays.

• Medical insurance is provided after completing the probation period (3 months from the start date).

• Budget for education.

• Paid for individual English classes.

• Technical equipment that meets the working needs.