Playrix: Senior Data Analytics (User Acquisition)

Senior Data Analytics (User Acquisition)

Playrix is one of the most successful companies in the world in mobile game development. In terms of revenue, we rank in the top 3 globally and are the top-grossing among all mobile applications in EMEA. Our games have been downloaded 2.3 billion times (a third of the Earth's population), and every day, more than 30 million people play our games worldwide!

We aspire to the following organizational principles: no hierarchy, maximum transparency in processes, prioritizing arguments over authority, and valuing results over processes. Our teams are compact, typically comprising 3-5 people, each assigned to a specific responsibility area where they accumulate expertise. Our teammate in User Acquisition team will be responsible for analyzing marketing data, developing methodologies for evaluating metrics, and researching non-obvious relationships between metrics.

This role requires relocation from Russia and Belarus to one of our offices or remote work from other countries (except Russia and Belarus). Find out morehere.

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Tasks

Within the UA Analytics team, tasks are diverse. If you find it interesting to...

Solve tasks of varying complexity, from testing hypotheses to building models
Understand different types of traffic and enhance your understanding of advertising channel algorithms
Evaluate changes in the audience and the impact of creatives on acquisition
Investigate non-obvious relationships between metrics
Work on the algorithm for selecting optimal bids
Research game cannibalization and much more

...then we will have plenty to discuss.

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 with knowledge of probability theory and applied statistics at the level of a technical university graduate
Experience in data analysis, product or marketing analytics no more than 3 years
Excellent knowledge and experience working with SQL
Experience working with Python
Experience in machine learning would also be very beneficial
Business-oriented, ability to find practical solutions within limited time, avoiding unnecessary complexity
Proactive attitude, ability and willingness to take responsibility for results, ability to act in uncertain situations

Our advantages

Abundant Marketing Data: We have a substantial amount of marketing data, including impressions, clicks, and openings
In-Depth Exploration of Zones: Nobody delves as deeply into specific areas as we do (e.g., Attribution)
Short Feedback Cycle Impacting Business: We experience a very short feedback cycle regarding the impact on business – the marketing effect is significant, and any changes are immediately visible

Our Perks

Flexibility
Work from wherever you like (your home, one of our many offices, or a hybrid combination) and whenever you like thanks to our flexible work schedule.

Healthcare
We reimburse online sessions with a psychologist and offer you and your children healthcare, including dental insurance and treatment for COVID-19.

Work-life balance
We offer a generous amount of paid vacation days and sick leave. In special circumstances, additional days off can be requested.

Professional development and education
We reimburse participation in relevant conferences and courses, and regularly conduct internal bootcamps. We also provide access to discounted English language courses.

Entertainment and merch
Every year we hold hundreds of events around the world, including contests, sports challenges, parties, hackathons, and offline events for individual teams.

Fitness
We support leading a healthy lifestyle and offer reimbursement for gym memberships, or fitness app subscriptions.

Community involvement
We launch charity projects and support the initiatives of employees through our grant competition.