Senior Advanced Analytics & Insights Manager

Role Overview

We are looking for a Senior Advanced Analytics & Insights Manager with 5+ years of experience to support high-impact analytics work across healthcare and life sciences. This is a hands-on role for someone who can work directly with complex healthcare datasets, apply data science methods, write strong SQL and Python, and translate analytical outputs into clear business recommendations.

What You Will Do

Lead analytics workstreams from business question definition through data analysis, modeling, interpretation, and final delivery. Work hands-on with large healthcare and life sciences datasets, including claims, provider, patient, market, commercial, or other real-world data.

Why It Might Be a Fit

The ideal candidate will combine technical execution with consulting-style problem solving. They should be comfortable owning analytical workstreams, guiding junior team members, partnering with business stakeholders, and delivering client-ready insights across use cases such as patient journeys, market assessment, targeting, segmentation, forecasting, real-world data analysis, and commercial strategy.

Requirements

• 5+ years of experience in data science, advanced analytics, healthcare analytics, life sciences analytics, analytics consulting, or a related quantitative role
• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics, Public Health, or a related quantitative field
• Strong hands-on SQL experience, including complex joins, CTEs, aggregations, window functions, data validation, and performance-aware querying
• Strong hands-on Python experience using libraries such as pandas, NumPy, scikit-learn, statsmodels, or similar tools
• Experience working with large, complex datasets and turning them into actionable insights
• Practical understanding of data science methods and when to apply them to business problems
• Basic understanding of data engineering concepts such as ETL/ELT, data pipelines, data models, data quality checks, and reusable workflows
• Experience working in cloud-based or server-based analytics environments such as Databricks, Snowflake, AWS, Azure, GCP, or similar platforms

Benefits

• Comprehensive benefits package
• Unlimited paid time off
• 401(k) plan with employer contribution
• Medical, dental, and vision coverage
• Bonus or commission plan
• Flexible and dynamic culture
• Competitive salary range $107,100 – $199,800 per year