Sr Data Analyst

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.

Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

As a Sr Data Analyst, you will lead the analysis, design, and implementation of scalable data solutions supporting business intelligence, reporting, and advanced analytics. You will partner with business stakeholders to translate ambiguous requirements into structured analytical approaches and build scalable data pipelines using Python, SQL, and PySpark. In this role, you will leverage advanced analytics and AI-driven techniques-including LLM-assisted workflows-to optimize data processing, enhance decision-making, and deliver strategic insights across healthcare and claims data domains.

You will enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Lead the analysis, design, and implementation of data solutions to support business intelligence, reporting, and advanced analytics, incorporating AI-driven techniques where applicable
• Partner with business stakeholders to translate ambiguous requirements into structured analytical approaches, datasets, and actionable insights
• Leverage enterprise-approved AI tools to streamline workflows, automate tasks, evaluate emerging trends, and drive continuous innovation
• Perform deep-dive data analysis to identify trends, anomalies, and data quality issues, determining root causes and recommending solutions
• Design and maintain data models, mappings, and transformation logic to standardize and integrate disparate datasets, particularly within healthcare and insurance domains
• Support the adoption of advanced analytics and AI capabilities (including LLM-assisted workflows) to improve data processing, reporting efficiency, and decision-making with an emphasis on responsible use of AI
• Build and deliver dashboards, reports, and visualizations that clearly communicate insights and recommendations effectively to senior leadership and cross-functional stakeholders
• Ensure data accuracy, integrity, and compliance with healthcare regulations, data governance standards, and responsible AI practices
• Provide subject-matter expertise in healthcare and claims data, supporting issue resolution, stakeholder alignment, and mentorship of junior analysts
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related quantitative field or equivalent experience of additional 4+ years in lieu of degree
• 4+ years of experience in Data Analysis, Data Engineering, or Business Intelligence
• 2+ years of experience writing complex SQL queries for data extraction, manipulation, and analysis
• 2+ years of experience working with healthcare or medical claims data
• 1+ years of experience designing data models, mappings, and transformation logic for complex datasets

Preferred Qualifications:

• Master's degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related quantitative field
• Experience working with cloud-based data platforms (e.g., Databricks, Snowflake, AWS, Azure, Google Cloud Platform)
• Experience leveraging AI-driven analytics, LLMs, or machine learning techniques in data processing and reporting workflows
• Knowledge of healthcare regulations, data governance standards, and responsible AI frameworks
• Experience…