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Join a top-tier mobile gaming team with millions of downloads worldwide and exciting new titles on the way.
We're looking for a data Analyst whos passionate about digging into player behavior and game economy data, with strong hands-on skills in Predictions and segmentation. Youll play a key role in shaping engaging and well-balanced experiences by analyzing how different player types interact with core loops, progression systems, and monetization mechanics. This is a cross-functional role where you'll collaborate closely with game economy designers, product managers, and developers to bring clarity, structure, and insights into how our economies serve different segments of players.
What Youll Do
* Build and maintain player segmentation models using gameplay, behavioral, and monetization signals.
* Analyze player behavior, level progression, and feature usage to surface actionable insights.
* Partner with game economy and product teams to fine-tune sources, sinks, pacing, and offers based on segment needs.
* Use Python and SQL to run deep-dive analyses, build pipelines, and automate recurring economy metrics.
* Design and evaluate A/B tests related to game economy, pacing, and progression.
* Present clear findings via dashboards and storytelling that inform product and economy decisions.

We’re looking for a curious and technically skilled Data Analyst who’s fluent in SQL, comfortable with BI tools, and brings an extra edge with data science knowledge. In this role, you’ll generate business-critical insights and contribute to light modeling projects such as segmentation and LTV forecasting. This is a perfect role for someone who loves diving into data, explaining what matters, and occasionally applying statistical techniques when deeper insights are needed. Business Analytics & Insight
* Analyze user behavior, funnels, monetization, and retention across our apps.
* Evaluate creative tests, campaign performance and channel efficiency across paid UA platforms (Meta, Google, TikTok, etc.).
* Work closely with UA, product, finance and monetization teams to track and improve performance.
* Support forecasting models for LTV, ROI and spend planning.
* Investigate data anomalies, test hypotheses, and answer complex business questions. Reporting & Dashboarding
* Partner with Data Engineers to ensure scalable and clean data models in Snowflake and BigQuery.
* Build, own, and maintain reports in data visualization tools and web-apps.
* Ensure clear, accurate, and accessible data for marketing and finance stakeholders.
* Lead end-to-end analytical initiatives: from data collection and modeling to insight delivery and follow-through.

We are a development team (R&D) building a client-server system on Microsoft Azure, operating over an advanced cloud-based data infrastructure. We are currently transitioning from a legacy SQL Server and Analysis Services stack to modern platforms including Snowflake and Azure Data Explorer (ADX).
As part of this transformation, were looking for a sharp and driven Data Analyst to help us extract insights, shape our data for Machine Learning and AI, and directly influence business decisions.
What will you do?
Analyze complex datasets from diverse sources (Snowflake, ADX, logs, APIs, etc.).
Identify actionable insights and communicate findings clearly to business and product stakeholders.
Build dashboards and monitoring tools using Power BI / Tableau / Looker (or similar).
Collaborate with development, product, and data engineering teams.
Prepare and process data for ML/AI purposes (feature engineering, labeling, etc.).
Lead ad-hoc analyses and data-driven PoCs to support decision-making.