[Hiring] Lead Data Analyst @Playrix

Role Description

We are looking for a leader for our product analytics team who will tackle the most challenging research tasks from the business side, improve processes and tools, and develop and drive the team of analysts. We have created a team where everyone is part of a vast community of analysts.

• Interact with the product director and producers internally.
• Participate in the exchange of ideas and experiences.
• Find support and insights from a wide circle of top specialists in their field.
• Influence the development of other products and directions.

The Lead Data Analyst will face two significant challenges:

• Make analytics proactive, bringing maximum insights and ideas for product development based on data.
• Make employees productive and happy—developing analysts and reducing entropy around them.

Qualifications

• Experience in creating and/or leading data-driven projects that resulted in product metric growth.
• Ownership of results and experience organizing the work of several independent teams.
• Excellent knowledge and at least 3 years of hands-on experience with Python and SQL.
• Passion for analyzing complex problems and distinguishing between crucial tasks and merely interesting ones.
• Leadership experience with a data analysis or Data Science team for at least 1 year.
• Understanding of applied statistics and experience in data analysis, product, or marketing analytics.
• Excellent communication skills and the ability to speak the language of business.
• Proactive mindset, entrepreneurial thinking, and the ability to take responsibility for results.

Requirements

• Ability to showcase impressive results significantly higher compared to many companies.
• Experience with projects that can achieve double-digit percentages through research and the development of analytical products.
• Operating on a grand scale with hundreds of millions of players and petabytes of data stored from the last 7 years.
• Data-driven approach ingrained in all processes, analyzing everything, conducting experiments, and making decisions based on data.
• Ability to swiftly change processes and approaches without lengthy approvals and bureaucracy.

Work Format

• Remote or from one of the company's offices.