AI DATA BUSINESS ANALYST
APWU Health Plan · Elkridge, MD, US ·
- Category
- Business analysis
- Experience
- 5+ years
APWU Health Plan · Elkridge, MD, US ·
The APWU Health Plan, a non-profit organization located in Elkridge, MD, is seeking an AI Data Business Analyst to join our Information Technology Division.
The AI Data Business Analyst plays a critical role in translating business needs into data driven, AI enabled solutions that will drive strategic decisions across the APWU Health Plan.
Primary Accountabilities:
Business & Data Analysis
AI & Advanced Analytics Enablement
Governance, Compliance & Risk Awareness
Coordinate with IT Team Leads in conjunction with the IT Project Manager, to align with organization priorities.
Work with external vendors to develop and maintain approved solutions. Scope business functional enhancement projects and validate recommended solutions to the organization.
Complete other duties as assigned.
Qualifications:
Bachelor’s degree in business Analytics, Data Science, Information Systems, Statistics, Computer Science, or a related discipline, or equivalent practical experience.
5+ years of experience in data analysis, business analysis, or analytics roles, preferably in healthcare, insurance, or other regulated environments.
Hands‑on experience working with structured datasets and analytical tools to support business decision‑making.
Experience collaborating with cross‑functional teams, including IT, compliance, and operations.
Excellent technical and analytical skills, as well as exceptional verbal and written communication skills. Ability to render and write business requirements such as technical documentation and business decision documentation.
Proficiency in requirements gathering - effectively translating business needs as expressed by users into workable specs, estimating time\duration to complete and implement the solution.
Strong SQL and data analysis skills; experience with BI and visualization tools.
Familiarity with machine learning or AI concepts (predictive modeling, NLP, automation), with emphasis on business application rather than model development.
Ability to clearly communicate insights, risks, and recommendations to non‑technical audiences.
Experience with healthcare claims, enrollment systems, or payer data.
Exposure to model governance, audit support, or regulatory reporting preferred.
Experience supporting analytics during high volume periods such as Open Season preferred.
Strong work history.