Data Analyst 2 - Remote
About The Position
The Data Analyst II, Intelligence Enablement role supports the evolution of Optum from traditional analytics and reporting toward AI-powered intelligence, automation, and decision support. This role is responsible for developing analytics assets, enabling self-service intelligence, supporting AI agents, and transforming business data into actionable insights that drive growth, retention, operational excellence, and business outcomes. Working closely with AI, Databricks, Data Operations, Reporting & Rendering, Product, and business stakeholders, the analyst will help build the intelligence foundation that powers Genie, Copilot, AI agents, and future Autonomous Revenue Intelligence capabilities. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.
Requirements
- 5+ years of experience of Analytics & Data in SQL, Databricks, Data Modeling, Business Intelligence, Statistical Analysis, Data Analysis and Problem Solving
- 5+ years of experience Data of Management & Governance in Data Governance, Data Quality, Business Metadata and Documentation, Familiarity with Data Privacy and Security Standards
- 1+ years of experience AI & Automation with familiarity with Generative AI technologies, experience using AI-powered analytics tools (Copilot, Genie, ChatGPT, etc.), Basic Prompt Engineering and understanding of AI-assisted workflows and automation concepts
Nice To Haves
- Python
- Machine Learning Fundamentals
- Feature Engineering
- Advanced Statistical Methods
- Databricks Genie
- Microsoft Copilot
- Azure OpenAI
- AI Agent Concepts
- Generative AI Applications
- Agentic Workflow Design
- Unity Catalog
- Metadata Management
- Data Lineage
- Data Product Management
- Enterprise Data Architecture Concepts
Responsibilities
- Develop and maintain curated Databricks datasets, metrics, and intelligence assets
- Build and optimize SQL, Python, and analytical workflows supporting business intelligence initiatives
- Analyze business, operational, customer, and financial data to identify trends, risks, opportunities, and actionable insights
- Support development of Databricks silver and gold layer assets
- Perform exploratory analysis to identify new business opportunities and operational improvements
- Support the development and testing of AI agents, including: Prepare and curate knowledge sources, prompts, metadata, and business context used by AI solutions
- Evaluate and improve AI-generated insights, recommendations, and business outputs
- Help identify new opportunities for automation and intelligent workflow orchestration
- Support Databricks Genie Spaces and Copilot-enabled analytics experiences
- Develop semantic layers, business definitions, and reusable analytical assets
- Promote data literacy and self-service analytics adoption among business users
- Ensure business logic, calculations, and metrics remain accurate, governed, and trusted
- Partner with stakeholders to understand business objectives and translate them into analytical solutions
- Support product, operations, client management, sales, and strategy teams with data-driven recommendations
- Assist in the development of executive-ready presentations and analytical narratives
- Participate in opportunity sizing, business case development, and strategic initiatives
- Ensure compliance with enterprise data governance, privacy, and security requirements
- Maintain documentation, lineage, metadata, and business definitions
- Support certification and quality validation of analytical assets, dashboards, and AI-generated outputs
- Promote consistent use of approved metrics and enterprise standards
Benefits
- a comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
