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Senior Data Analyst (Attribution)

Senior Data Analyst (Attribution)

2 Hours ago • 3-5 Years

About the job

Summary_{By Outscal}

Senior Data Analyst with 3+ years experience in data analysis, product or marketing analytics. Must have excellent knowledge of SQL and Python, experience working with marketing data and a strong mathematical background. Experience with machine learning is a plus.

Senior Data Analyst (Attribution)

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

Data Analyst for User Acquisition in our company will be responsible for analyzing marketing data, developing methodologies for evaluating metrics, and exploring non-obvious correlations between metrics. We adhere to the principles of a teal organization: no hierarchy, processes are as transparent as possible, arguments matter more than authority, and results matter more than processes. We have small teams of 3-5 people, each of whom has their own area of responsibility in which they accumulate expertise.

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 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.