Teams at MUTT DATA

Design and analyze experiments, apply causal inference, and measure marketing incrementality, attribution, ROI, CLV, and marketing mix performance. Build predictive and segmentation models for growth, pricing, promotions, retention, and personalization. Use Databricks, Spark, Python, and SQL to develop scalable analyses and collaborate with engineering teams. Communicate rigorous findings and recommendations to marketing, commercial, and business stakeholders.

Design and analyze experiments, apply causal inference methods, measure marketing incrementality and ROI, and build predictive and segmentation models. Translate growth and marketing questions into rigorous analytical solutions using Databricks, Python, SQL, and statistical techniques. Collaborate with engineering and commercial stakeholders to support acquisition, retention, pricing, promotions, and customer analytics decisions.

Build and maintain Power BI dashboards, reports, data models, datasets, and semantic layers. Develop reliable data transformations and production pipelines using Databricks, Microsoft Fabric, PySpark, Delta Lake, and SQL. Collaborate with stakeholders to define KPIs, monitor data quality, troubleshoot reporting issues, and document reporting processes.