Manager, Business Analytics
Core
Strategic analytics partner leveraging advanced analytics, statistical modeling, and data science to improve operational performance, revenue realization, and business decision-making across Commercial, Operations, and Finance functions.
Role type
Senior IC Manager, Business Analytics
Builds
Scalable analytical solutions, semantic data models, KPI frameworks, and standardized metrics for enterprise data governance.
Domain
Healthcare diagnostics / Life sciences / Business Intelligence
Deliverable
production ML models
Required skills
Advanced SQL (complex joins, window functions, CTEs), Python (Pandas, NumPy, Scikit-Learn), Statistical modeling, Forecasting, Hypothesis testing, Data warehousing concepts, ETL/ELT processes, Tableau/Power BI, Cloud data platforms (Snowflake, Redshift, Databricks, BigQuery, Azure Synapse), Data governance, Data quality management.
Preferred skills
Healthcare diagnostics/laboratory services/life sciences/payer analytics experience, AI-enabled analytics/generative AI/workflow automation, Executive stakeholder partnership.
Technologies
SQL, Python, Pandas, NumPy, SciPy, StatsModels, Scikit-Learn, Tableau, Power BI, Snowflake, Redshift, Databricks, BigQuery, Azure Synapse
Responsibilities
Lead analytics support for Commercial, Finance, and Operations; Act as thought partner to leadership for prioritizing analytical investments; Design and maintain scalable analytical solutions; Perform statistical analysis, forecasting, and predictive modeling; Partner with Data Engineering and IT to optimize data pipelines; Build semantic data models and KPI frameworks; Support enterprise data governance initiatives; Leverage AI/ML for forecasting accuracy and automation.
Seniority
Senior, hands-on IC with management responsibilities
