Data Analyst Scientist

Who are you?

You are a highly analytical and data-driven Data Analyst Scientist looking to join a fast-growing and dynamic team. In this role, you will transform raw data from BigQuery and SQL into strategic dashboards, predictive models, and actionable insights that guide decision-making across our product, marketing, and operations teams. From exploratory analysis to algorithm development, you will own projects end-to-end—covering everything from data ingestion to model deployment.

Who are we?

MAF is a leading digital advertising company designing innovative solutions to meet the needs of advertisers and publishers in the Performance App Marketing industry. We have been recognized globally, ranking 6th and 3rd on the Appsflyer Performance Index, and were named among the Top 10 fastest-growing startups in Italy and Top 100 in Europe by the Financial Times.

What will you do?

Dashboard & Reporting

• Design, build, and maintain interactive Looker dashboards connected to BigQuery/SQL.
• Automate recurring reporting workflows and ensure ongoing data accuracy and consistency.

Predictive Modeling & Algorithms

• Develop and validate models for ROI, LTV, churn prediction, and other key business metrics.
• Apply clustering, anomaly detection, and advanced analytics techniques to identify user segments, fraud patterns, and optimization opportunities.

Data Analysis & Insights

• Analyze publisher-level and user-level data to uncover trends, behavioral patterns, and growth opportunities.
• Lead anti-fraud investigations by identifying suspicious activity, quantifying risk exposure, and producing clear, data-supported reports with actionable mitigation strategies.
• Perform ad hoc analyses to support offer optimization, campaign performance reviews, and broader business decisions.

Data Engineering & Automation

• Build scripts and tasks to automate and clean data pipelines (e.g., retroactive field filling in BigQuery).
• Improve BigQuery query performance and cost efficiency through partitioning, clustering, and SQL best practices.

Operational Support

• Conduct funnel reporting and analysis by extracting metrics (acquisition, activation, retention, revenue) from BigQuery and delivering clear, structured Excel-based summaries using custom templates and macros.

What will you need?

• Proven experience in a Data Analyst, Data Scientist, or Data Engineer role with hands-on expertise in BigQuery, SQL, and Looker.
• Strong knowledge of predictive modeling, clustering, and statistical analysis.
• Experience with anti-fraud systems, risk detection, or high-integrity environments is a plus.
• Proficiency in Python or similar scripting languages for data automation and analysis.
• Solid understanding of data pipeline optimization, query efficiency, and cost management.
• Excellent communication skills in English (Italian is a plus), with the ability to present complex findings clearly to non-technical stakeholders.
• Strong attention to detail, self-starter attitude, and ability to manage multiple projects independently.