One of the largest companies developing technological solutions for the entertainment industry is looking for a strong Data Analyst to develop product analytics and make data-driven decisions.
Responsibilities
- Develop and maintain a system of product and business metrics: formalize definitions, calculation methodologies, usage rules, and data quality control;
- Analyze large volumes of data from various sources, identify patterns, growth points, and reasons for changes in key indicators;
- Independently work with undefined and poorly formalized tasks: clarify the business problem, choose a methodology, define necessary data, and form a research plan;
- Conduct product research, formulate and independently verify hypotheses;
- Manage end-to-end A/B tests: assess the feasibility of the experiment, define metrics and test design, control the quality of execution, and interpret results;
- Evaluate the impact of product changes and formulate recommendations for product and business teams;
- Prepare analytical datasets and participate in building ETL processes with the Data Engineering team;
- Create and develop dashboards in Tableau;
- Present research results and recommendations to product teams, business stakeholders, and C-level executives, explaining complex analytical findings in an understandable way.
Requirements
- Excellent knowledge of SQL and experience working independently with large volumes of data;
- Strong command of Python for data analysis: Pandas, NumPy, SciPy, and other analytical libraries;
- Good knowledge of statistics: descriptive statistics, statistical tests, correlation and regression analysis;
- Practical experience in designing, conducting, and analyzing A/B tests;
- Experience in conducting product research and the ability to translate analysis results into concrete business recommendations;
- Ability to independently formulate an analytical approach to a task and bring research to a clear conclusion;
- Product thinking and the ability to see the reasons and business context behind metric changes;
- Experience in data visualization and working with BI systems; experience with Tableau will be an advantage;
- Ability to structure complex tasks, identify key points, and support conclusions with data;
- Ability to effectively interact with Product Managers, business stakeholders, and technical teams.
Experience with the following will be an advantage:
- ClickHouse, MySQL;
- Spark + Iceberg;
- dbt and other data transformation tools;
- Airflow, including understanding DAG construction principles;
- Data Lake and modern approaches to organizing data platforms;
- Data Mesh;
- Web analytics and mobile application analytics;
- Plotly and other data visualization and exploratory data analysis tools.
Conditions
- Work with high-load products and data from an audience of 100M+ users worldwide;
- High level of autonomy and the opportunity to directly influence product development;
- Flexible work format: remote, hybrid, or in-office;
- Flexible start to the workday;
- Opportunities for professional growth and expansion of responsibility;
- Knowledge sharing within a strong professional community;
- Team events, team buildings, and other internal activities.
