Senior Data Analyst - AI/BI for Healthcare (Hybrid)

Gainwell Technologies LLC

Columbus (OH)

Hybrid

USD 69,000 - 99,000

Full time

30 hours ago
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Benefits offered by this job

Generous vacation policy
401(k) employer match
Comprehensive health benefits
Educational assistance
Leadership/technical developmentAcadem

Job summary

Gainwell Technologies LLC in Columbus, OH seeks a Senior Professional Data Analyst to analyze large healthcare datasets using AWS Databricks, AI/BI tools, and Python-based workflows. The role focuses on improving care quality, compliance, and operational efficiency.

You will work in a hybrid model with Ohio Medicaid Office two days on-site and three days remote, engaging in client-facing presentations and complex data projects.

Qualifications

  • 5 years of experience with relational databases, AWS Databricks, SQL, and Python.
  • 5+ years leading complex data science projects end-to-end.
  • Experience with Data Science, ML, and Large Language Models.

Responsibilities

  • Design QA, governance, and KPI alerts for anomaly detection.
  • Analyze Medicaid/claims data including T-MSIS, HEDIS, eligibility, enrollment, and pharmacy data.
  • Apply AI/BI dashboards, vector databases, and LLM-powered workflows to derive insights.
  • Present insights to clients using visualization tools like Tableau or Power BI.
  • Develop and support healthcare web portals with Python and Flask, including REST APIs.
  • Create complex automated PDF and reports using Python.

Skills

Relational Databases
AWS Databricks
SQL
Python
Data Science

Tools

Tableau
Power BI
PowerPoint

Job description

Gainwell Technologies LLC in Columbus, OH seeks a Senior Professional Data Analyst to analyze large healthcare datasets using AWS Databricks, AI/BI tools, and Python-based workflows. The role focuses on improving care quality, compliance, and operational efficiency.

You will work in a hybrid model with Ohio Medicaid Office two days on-site and three days remote, engaging in client-facing presentations and complex data projects.

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