Data Analyst

Our Development Team is excited to welcome a new colleague - an experienced Data Analyst.

Responsibilities:

• Forecast and validate LTV of user's cohorts for subscription-based products for different segments based on historical data and user's behaviour (web and mobile platforms).
• Continuously monitor and improve the accuracy of LTV estimations.
• Integrate the predictions into in-house BI and support it to ensure accurate and timely insights for decision-makers.
• Work closely with UA/Marketing team to understand business needs and provide data-driven insights to optimize and adjust traffic acquisition process.
• Act as a subject matter expert, providing guidance and recommendations on data to improve business performance.

Requirements:

• Bachelor's degree in a relevant field such as Computer Science, Mathematics, Statistics, or a related discipline.
• 4+ years of commercial experience as a Data Analyst, with a strong focus on data manipulation, analysis, and visualization.
• Experience of working in product companies with B2C mobile or web portfolio.
• Hands-on experience in analytics for web and mobile products with subscription-based monetization.
• Solid understanding of unit economics, its key metrics, and the interplay between subscription-based monetization and user acquisition.
• Proficiency in SQL and Python for data querying and manipulation.
• Experience working with relational databases, particularly PostgreSQL.
• Goal-oriented mindset, ability to see and take a business context, and to align solutions with business needs; strong analytical and problem-solving skills with a keen attention to detail.
• Great teamplay and communication skills with the ability to convey complex concepts to both technical and non-technical stakeholders, abilities to prompt colleagues and support them, to be self-driven and to make decisions autonomously but to know exactly when to ask for help.
• Clear understanding what is the cross-functional team and how it works.