Senior Professional Data Analyst - (Hybrid - Columbus, OH)

Gainwell Technologies LLC•Any city, OH

4d•$69,400 - $99,200•Hybrid

About The Position

As a Senior Professional Data Analyst, you will use AWS Databricks workflows, artificial intelligence (AI), and business intelligence (BI) tools to analyze large-scale datasets and produce actionable insights that improve care quality, compliance, and operational efficiency. The role focuses on healthcare data and supports solutions to complex challenges in healthcare. You will analyze Medicaid and claims data, design anomaly and quality detection services, and use AI and natural-language workflows to derive insights from structured and unstructured information. You will also present findings to clients, support large data science projects, develop healthcare web portals and APIs, and create complex, data-driven documents and reports. This is a hybrid role based at the Ohio Medicaid Office in Columbus, Ohio, with two days per week onsite and three days per week remote. Video cameras are required during interviews and the initial week of orientation.

Requirements

At least 5 years of experience using relational databases, AWS Databricks, SQL, and Python.
At least 5 years of experience leading complex data science projects end-to-end, from requirements through development to production.
At least 5 years of experience in data science/machine learning and large language models.
Ability to support, track, and document Agile and Waterfall deliveries.
Healthcare and/or Medicaid experience.

Responsibilities

Design quality assurance, transaction surveillance, KPI threshold alerts, and risk indicators to identify irregular patterns.
Analyze healthcare datasets including T-MSIS, HEDIS, Medicaid eligibility and enrollment, fee-for-service, managed care claims, and pharmacy data.
Use Databricks AI/BI dashboards, vector databases, and LLM-powered workflows to transform unstructured medical records and natural-language queries into actionable insights.
Use data visualization tools such as Tableau, Power BI, and PowerPoint to share ongoing insights with clients during weekly meetings.
Deliver analytical solutions for large data science projects to solve problems and improve business outcomes.
Design, develop, enhance, and support healthcare web portals using Python and Flask, including REST API integrations and containerized deployments to cluster-based environments.
Design and develop dynamic PDF and reporting solutions in Python, including healthcare forms, tables, charts, conditional content, multi-page reports, and automated data-driven documents.
Support, track, and document Agile and Waterfall deliveries.