Manager - Business Analyst - Remote

UnitedHealth Group•Atlanta, GA

1d•Remote

About The Position

The Business Analyst role is responsible for analyzing, organizing, and managing complex datasets to support the development, optimization, and training of the AI platform. This position works cross functionally with clinical, operational, and technical teams to understand data needs, identify gaps, and translate business, clinical, and workflow requirements into clear, actionable data insights. The position prepares high quality data visualizations, dashboards, and executive level presentations that inform strategic decisions, monitor model performance, and ensure alignment with organizational goals. Through rigorous data evaluation and collaborative problem solving, the role strengthens model accuracy, supports continuous improvement initiatives, and advances the effective deployment of AI across the enterprise.

Requirements

3+ years of experience in data analysis, healthcare analytics, clinical operations analytics, or a comparable analytical role
Experience working with healthcare datasets such as EHR, claims, care management, or operational data
Proficiency in SQL for data extraction and manipulation
Experience with analytical and statistical tools such as Python, R, or SAS (Python preferred)
Proficiency in data visualization tools such as Power BI, Tableau, or similar platforms
Demonstrated ability to translate clinical and operational requirements into clear, actionable data insights
Demonstrated ability to develop executive level presentations and communicate analytical findings to senior leadership
Familiarity with AI/ML concepts, model performance metrics, and data preparation practices
Excellent written and verbal communication skills, with the ability to clearly explain technical information to non technical audiences
Solid cross functional collaboration skills with the ability to work effectively with clinical, operational, product, and data science partners
Solid analytical and problem solving skills, with the ability to identify data gaps and quality issues
High attention to detail with a commitment to data integrity, accuracy, and governance standards
Ability to manage multiple priorities in a fast paced environment while maintaining high quality work
Self motivated, curious, and committed to continuous learning and process improvement

Responsibilities

Analyze, organize, and manage complex datasets to support CAVA model development, optimization, and training
Collaborate cross functionally with clinical, operational, analytics, and technical teams to gather data requirements and ensure alignment with business objectives
Identify data gaps, quality issues, and integration needs; recommend solutions to enhance data readiness for model training and evaluation
Translate clinical and operational requirements into actionable data insights and model supporting datasets
Develop high quality data visualizations, dashboards, and reports that clearly communicate findings and support decision making
Prepare executive level presentations that summarize model performance, impacts, risks, and opportunities
Monitor and interpret model performance metrics; escalate issues and provide recommendations for improvement
Ensure data accuracy, integrity, reproducibility, and compliance with organizational data governance and regulatory standards
Apply consistent formatting, clarity, and messaging across all visualizations, dashboards, and presentations
Engage proactively with stakeholders to clarify requirements, manage expectations, and communicate findings in clear, accessible language
Maintain documentation, best practices, and knowledge related to data processes, workflows, and model readiness
Identify and implement opportunities to streamline data workflows and continuously improve analytical and model support processes
Remain up to date on best practices in analytics, AI/ML, healthcare data, and clinical operations to enhance overall model development and deployment