Head of BI & Analytics

This is a fully remote position, open to applicants in Poland.

📋 Description

• Lead the development and growth of our Business Intelligence & Analytics division.

• Establish an Analytics Framework for Mobile Applications: Design and deploy a comprehensive analytics framework specifically for mobile and web applications, encompassing the entire business cycle, including marketing, monetization, payment processing, and product data.

• Data Management Excellence: Serve as the Business owner of the Data Platform, ensuring it meets the real-time data processing and analytical requirements of business units.

• Operational Reporting and Visualization Tools: Create and sustain operational reporting systems and dashboards to oversee daily operations.

• Strategic Insights and Decision Support: Deliver strategic insights to executive leadership and internal stakeholders by examining data trends and market dynamics.

• Cross-functional Collaboration for a Data-Driven Culture: Promote a collaborative atmosphere with various teams to identify and address their analytics requirements.

• Data Governance, Privacy, and Compliance: Guarantee that analytics practices align with data governance standards and comply with applicable privacy laws and regulations.

• Leadership and Team Development: Recruit and guide the analytics team within a matrix structure.

• AI Initiatives Development: Formulate and execute an AI/ML strategy for analytics to improve decision-making efficiency across different business units.

• Cross-Product Analytics: Establish a systematic method for comparative analysis and benchmarking between company products and competitive offerings to identify best practices and potential synergies.

⛳️ Requirements

• Minimum of 3-5 years in a comparable analytics leadership position within mobile and web application industries with millions of users.

• Strong proficiency in analytics tools (such as Tableau, SuperSet, etc.) and platforms (e.g., Google Analytics), data warehousing solutions, and SQL/NoSQL databases. Familiarity with machine learning techniques is essential.

• Practical experience in creating and managing data models for mobile and web application analytics, with an understanding of business-related metrics (such as subscriptions, upsells, etc.) and organizing analytical environments for performance marketing and other business units.

• Demonstrated experience in managing large datasets and in the development and management of a Data Platform, ensuring data quality and integrity.

• Proficient in statistical analysis, data visualization, and predictive modeling tools, with practical experience using third-party tools like Similarweb, Sensor Tower, etc.

• Knowledge and experience in integrating with product analytical tools (like Amplitude, Mixpanel) and marketing tools (such as Meta, Google Ads, BigSpy, etc.), along with awareness of platform integration aspects. Strong practitioner of A/B testing tools.

• Basic understanding of data platform architectures and integration techniques, including their capabilities and limitations.

• Experience in building scalable analytics systems for rapidly growing companies transitioning from hundreds of thousands to tens of millions of users.

• Experience in developing analytics stacks that can be integrated with company platform solutions.

🏝️ Benefits

• Health: Company-sponsored medical expense compensation.

• Balance: Flexible paid time off, offering 21 days of annual leave plus 10 bank holidays.