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Senior Data Analyst (Game)

Senior Data Analyst (Game)

1 Month ago • All levels • Data Analyst

About the job

6 skills required for this role

Test your skills to join the top 1% applicants for this job

aws

python

sql

tableau

budget-management

alphabeta-testing

Job Description

Playrix seeks a Senior Data Analyst to drive product development. You'll analyze game economy, player behavior, and more, ensuring data-driven decision-making. Must-haves include strong mathematical background, SQL expertise, and Python experience.

Must have:

Strong math background
SQL Expertise
Python Experience
Data Analysis

Good to have:

ML Experience
Jupyter/Databricks
A/B Testing
Tableau

Perks:

Flexible schedule
Health insurance

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Senior Data Analyst (Game)

About the company

Playrix is one of the most successful mobile game development companies  in the world. In terms of mobile application revenue, we rank first in Europe  and are in the top 3 worldwide. Our games have been installed 2.3 billion times (that's a third of the world's population!) and more than 30 million people around the world play them every day.

Team, about the role

We are looking for an experienced analyst to whom we can entrust the development of the product, the establishment of a data management system, the enhancement of processes, and the provision of business consulting on growth opportunities. By solving complex analytical tasks with us, you will influence the development of global hits in mobile game development. Naturally, you will engage in the classic tasks of any game product analyst: analyzing the game economy, balance, player behavior, and much more. However, the most fundamental and important task for a Data Analyst in the team is to ensure decision-making processes that lead to sustainable long-term product development.

Tasks

Behind every product is a strong analytics team, but interaction will not only be within it. Naturally, you will have to deal with the classic tasks of any game product analyst: analyzing the game economy, balance, player behavior, and much more. However, the most fundamental and important task for a Data Analyst in the team is to ensure decision-making processes that lead to sustainable long-term product development. Also, among the tasks are:

Developing player segmentation for adapting the gameplay to the user experience
Conducting analysis, preparing reports, and recommendations for changing games within the product team
Organizing the collection and automated processing of all collected game data, developing dashboards for recurring reports
Participating in the preparation and conduct of A/B testing

Our stack

Modern and reusable in other companies stack (JupyterHub or Databricks + PySpark). Skills gained while working at Playrix remain relevant and easily monetizable.

No restrictions on tools, resources are allocated quickly, and we have access to the entire AWS
Data is collected through Appsflyer (marketing) and Amplitude (product)
Raw data is stored in S3, ETL processes are managed by Airflow, and prepared tables and views are stored in Redshift. Data Quality, lineage, cataloging are managed through Monte Carlo
Analysts manipulate data using SQL and Python in Jupyter/Databricks notebooks, and they prototype dashboards using Tableau
We are developing self-service and analytical products for data consumers, relieving analysts of routine tasks

Requirements

Excellent mathematical background — knowledge of probability theory and applied statistics at the level of a technical university graduate
Experience in data analysis, product/marketing analytics
Excellent knowledge and experience working with SQL
Experience working with Python
Experience in ML (Machine Learning) would also be very useful
Business-oriented, ability to find practical solutions in limited time, not overcomplicate where it's unnecessary
Proactive stance, ability and willingness to take responsibility for results, ability to act in situations of uncertainty

Our advantages

Truly large scale: hundreds of millions of players, petabytes of data (we store everything from the last 7 years) and marketing limited by efficiency, not budget
Data-driven approach – we measure everything, conduct experiments, and make decisions based on data wherever possible
All conclusions are made with reliance on statistics, and analysts set the standards for decision-making. Even for employees far from analytics, confidence intervals are not an empty sound
Opportunity to change processes and approaches to more efficient ones without lengthy approvals and bureaucracy

Our Perks

Flexibility at work

For most positions we offer a flexible schedule, and employees can work from anywhere in the world (except for the Russian Federation and the Republic of Belarus). You can do your work however and wherever you like — we only evaluate your results.

Caring for health and well-being

We provide voluntary health insurance for employees and their children, and reimburse online sessions with a psychologist.
We offer fully paid vacation days and sick leave. In certain circumstances, you can request additional days off.
We support leading a healthy lifestyle and reimburse the cost of gym memberships and fitness app subscriptions.

Professional development and education

We pay for participation in specialized conferences and courses and hold our own internal conferences.
We offer discounts on English language courses and courses for the languages of the countries in which the company operates.

Events and merch

We regularly hold offline events like team meetings, big corporate parties, and informal office parties.
We also regularly organize fun competitions, quizzes, hackathons, and online fitness challenges.
We have a merch store with an internal currency you can use to buy unique gifts. We give out this currency as a gift for significant dates, and you can earn more by participating in events and company activities.