- Partner with cross-functional teams, including Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success, to understand business needs and deliver actionable analyses.
- Proactively explore data to identify patterns, trends, and opportunities that can drive business growth and operational improvements.
- Define and manage data collection requirements across systems and functions to support consistent reporting and insight generation.
- Develop, optimize, and automate data pipelines using SQL, AI, and modern data engineering tools to deliver timely, accurate reporting at scale.
- Build and maintain robust, interactive dashboards that enable self-service reporting across go-to-market and product teams.
- Identify opportunities to improve processes, reduce manual work, and drive efficiencies across the data landscape.
- Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives and external partners.
- Partner with data scientists, analysts, and engineers to improve data quality, reporting accuracy, and analytical consistency across the organization.
PythonSQLArtificial Intelligence+5 more