International rapidly growing product IT company StellarTech is looking for the Head of BI & Analytics. You will lead the establishment and evolution of our BI & Analytics unit, serving as the cornerstone for data-driven decision-making across the company. You will be responsible for managing and overseeing our Data Platform, providing comprehensive analytics, reports, and insights to support various internal functions including Marketing, Monetization, Product, Payments and Customer Support, etc.
What You’ll Do:
- Create Analytics Framework for Mobile Apps: Design and implement a robust analytics framework tailored to mobile and web applications, covering complete business cycle with marketing, monetisation, payments and product data. Esteblish key business metrics, organise metric tree and reporting structure for financial and operational controls
- Data Management and Excellence: Act as Business owner of Data Platform, ensuring it support's real-time data processing and analytics needs for business units. Oversee the integration of required data sources and data integrity & reliability across the platform. Define and manage Data Model inline with business needs, ensure Data Quality controls are in place
- Operational Reporting and Visualization Tooling: Develop and maintain operational reporting systems and dashboards to monitor day-to-day operations, including key metrics for app usage, marketing and financial performance. Select and implement cutting-edge tools for data visualization to ensure accessible, real-time insights for decision-makers.
- Strategic Insights and Decision Support: Provide strategic insights to executive leadership and internal stakeholders by analyzing data trends and market dynamics. Drive data-driven decision-making processes across the company, particularly in areas affecting product development, marketing strategies, and customer experience. Design business metrics, create plans and forecasts.
- Cross-functional Collaboration for Data-Driven Culture: Foster a collaborative environment with Marketing, Monetization, Product, Payments, Finance and Customer Support teams to identify and fulfill their analytics needs. Champion the use of data and insights in all strategic discussions and planning sessions to embed a data-driven culture throughout the organization.
