Maggie Olive

About Maggie Olive

As a Senior Data Analyst at GoHealth, I lead the development and maintenance of the Lifetime Value model for Medicare customers, a key asset utilized across the organization. My work involves managing data processing in Python, streamlining operations, and ensuring compliance with SOX auditing protocols. Recent initiatives include optimizing model runtime and automating data migration processes, reducing manual workload. With over eight years of experience in data analytics, including seven years in sports analytics at the Detroit Tigers, I bring expertise in statistical data analysis and advanced modeling techniques. My goal is to leverage technical skills and analytical solutions to drive impactful decision-making and contribute to organizational success.

Experience

1. Senior Data Analyst

   Gohealth

   Apr 2024 — Present · Chicago, IL, US

   Act as lead data scientist for Lifetime Value model of Medicare Customers leveraged across entire company Manage monthly runs adhering to SOX compliance auditing protocols and quarterly audits. Liaised with internal auditors and external Ernst & Young auditors Improved run time of model by 15% by decreasing dependencies on extraneous data sources and simplifying Python code Decreased support hours by 20% by automating input migration from manually consolidated CSVs to SQL Manage data processing in Python from raw carrier provided data to usable inputs for our modeling purposes Lead planning and execution for automated single source of truth for cash and active policies by migrating code from Python to Databricks and SQL with the goal of working towards creation of an automated single source of truth for cash and active policies Improved our ability to create a more dynamic model including being able to incorporate survival curves based on actuaries’ assumptions Perform code reviews and mentor junior employees in best practices Address all code errors, changes, and assumptions of model Project manage data science initiatives team, comprising of 15+ members Liaison with data engineering and technical project managers in migrating manual processes Collaborate with actuaries and Chief Actuary to provide actionable insights for business outcomes based on data analysis with a direct impact on cash projections Performed ad-hoc data inquiry via data analysis and modeling to support Finance leadership Identified customers to reach out to for plan saves based on modeled metrics of customer retention

Education

• University of Chicago

  Bachelor of Arts (B.A.), Economics, Statistics minor

  2013 — 2017

Skills

• Project Management
• Customer Service
• Strategic Planning
• Social Media
• Microsoft Office
• Leadership
• Microsoft Excel
• Research
• Public Speaking
• Stata
• Management