
Data Analyst Scientist
- Imola, Bologna
- Tempo indeterminato
- Full time
- Design, build, and maintain interactive Looker dashboards connected to BigQuery/SQL.
- Automate recurring reporting workflows and ensure ongoing data accuracy and consistency.
- 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.
- 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.
- 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.
- 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.
- 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.
Salary will depend on actual experience and skillsWhat does it mean working at MAF?
- A dynamic and collaborative work environment.
- Opportunities for professional growth and continuous learning.
- Work alongside international professionals in one of Europe’s fastest-growing digital marketing scale-ups.
- Annual training budget for courses, events, or certifications—you choose your personal and professional path.
- Team-building activities that mix brainstorming with fun and relaxation.
- Free meals, snacks, fruit, and drinks provided daily at the office.