AI DATA BUSINESS ANALYST
On-siteElkridge, Maryland, United States
Job Summary
Partner with business stakeholders to translate operational challenges into clear data and analytics requirements, analyzing large datasets to identify trends, risks, and improvement opportunities. Develop business cases and ROI narratives for analytics and AI initiatives while collaborating with IT to produce dashboards and visualizations. Support the design, testing, and deployment of machine learning use cases, monitoring models post-deployment for data quality, bias, and performance drift. Adhere to compliance requirements, document sources and logic for audits, and coordinate with IT leads and external vendors to validate solutions. Requires a Bachelor's degree, 5+ years of experience, and proficiency in SQL and BI tools.
Required 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
Desired Qualifications
- Exposure to model governance, audit support, or regulatory reporting preferred
- Experience supporting analytics during high volume periods such as Open Season preferred
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