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We are seeking a passionate and skilled BI Developer to join our Data & Analytics team and play a key role in shaping the semantic layer within. Youll work closely with data analysts, data engineers, and other stakeholders to translate complex business logic into scalable data models, enabling self-service analytics and actionable insights across the organization.
This is a highly collaborative role focused on defining and implementing the semantic foundation that powers traffic benchmarks, user behavior analysis, and operational dashboards for Customer Success and beyond.
What Youll Do:
Own the end-to-end development of the semantic layer for traffic data, ensuring scalability, consistency, and accuracy.
Build and maintain data models in DBT or equivalent transformation layers to support analytics and self-service use cases.
Develop and orchestrate reliable data workflows using Apache Airflow and Python.
Implement efficient data transformations using Spark for scalable data processing.
Collaborate with Customer Success (CS) data analysts and business partners to translate business questions into efficient, governed data structures.
Optimize SQL and data flows for performance and usability across tools like Looker, Tableau, or other BI platforms.
Define and document standardized business logic, KPIs, and metric definitions within the semantic layer.
Partner with Data Engineering to ensure semantic data models are aligned with upstream pipelines and architecture.
Develop data validation, QA, and monitoring processes to maintain high data quality standards.
Contribute to data modeling best practices and participate in broader data governance initiatives across the company.

We're looking for a sharp and passionate Business Data Analyst to join our top-notch business analytics team. Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers and to understand how people interact with our products.
Responsibilities:
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large, complex data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business decisions.
Work closely with Product, Monetization and management, be proactive and provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps and business strategies.
Plan and analyze effective A/B tests in order to improve business KPIs.
Balance and monitor flows from all the features in the game.
Measure and improve performance of promotions and live-ops for each segment.
Build reports and dashboards to monitor product performance, key business metrics and players experience.