Experience Data Analyst

Gainwell Technologies LLC

8d•Remote

About The Position

As a(n) Advisor Data Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.Your role in our mission Analyze complex operational workflows and identify inefficiencies across healthcare data processes (primarily eligibility and claims data) Lead root cause analysis and redesign initiatives using data-driven methodologies (Lean, Six Sigma, systems engineering concepts) Quantify financial impact of operational changes and track ROI Identify opportunities to deploy AI/ML-driven workflow automation Partner with IT and data science teams to operationalize AI/ML use cases Build business cases for AI-enabled tools and process redesign Support implementation and post-deployment performance monitoring Act as a strategic thought partner to senior operations leadership Collaborate with IT, product, and client teams to define requirements and drive delivery Communicate technical findings in clear, executive-ready formats

Requirements

6-10+ years of experience in healthcare data analytics, payer operations, revenue cycle, or related healthcare domain, in particular working with large healthcare datasets (claims, eligibility, provider data, risk scoring models, etc)
Advanced SQL proficiency (ability to build complex queries, joins, performance tuning), experience with AI/ML-enabled workflow tools, python scripting experience
Demonstrated experience translating analytics into operational change and positive financial impact
Strong understanding of QA controls and data validation methodologies
Proven ability to independently own ambiguous problems from concept through execution while partnering directly with senior operational leaders

Responsibilities

Analyze complex operational workflows and identify inefficiencies across healthcare data processes (primarily eligibility and claims data)
Lead root cause analysis and redesign initiatives using data-driven methodologies (Lean, Six Sigma, systems engineering concepts)
Quantify financial impact of operational changes and track ROI
Identify opportunities to deploy AI/ML-driven workflow automation
Partner with IT and data science teams to operationalize AI/ML use cases
Build business cases for AI-enabled tools and process redesign
Support implementation and post-deployment performance monitoring
Act as a strategic thought partner to senior operations leadership
Collaborate with IT, product, and client teams to define requirements and drive delivery
Communicate technical findings in clear, executive-ready formats