Cybersecurity Data Analyst

UnitedHealth Group•Eden Prairie, MN

6d•$72,800 - $130,000•Remote

About The Position

Optum is seeking a Cybersecurity Data Analyst to join their team. This role will focus on building data visualizations, analytics, reporting, data governance, and process improvement for security-related acquired entity data. The analyst will manage data for acquired entity security reporting, including developing stakeholder relationships, gathering requirements, building analytics, creating reports, and monitoring security risks. The position involves establishing data management processes to ensure data maintenance, reliability, and integrity for leadership reporting. The role serves as the primary contact for colleagues outside the immediate team or organization to ensure requirements are met and data accuracy/quality on visualizations across acquired entity security platforms. The role offers the flexibility to telecommute from anywhere within the U.S.

Requirements

High School Diploma/GED
2+ years of experience in data management, data governance, databases, and cloud infrastructure
2+ years of experience with SQL (window functions, incremental patterns, dimensional modeling)
2+ years of experience with data analytics or data engineering
2+ years of experience communicating/interfacing with internal or external clients and stakeholders
2+ years of experience working with proficiency in Microsoft Excel
1+ years of experience building out ETL/ELT processes (preferably working with Azure)
1+ years of experience writing Python scripts for analytics

Nice To Haves

End-to-end data engineering skills (i.e. ETL and automation tools)
Python development skills for data analysis and transformation
Hands-on experience with Azure Functions, Storage, and related cloud compute/data services
Experience with Azure data sources and data movement patterns
Familiarity with cybersecurity metrics and common telemetry domains (endpoint, vulnerability, identity, network signals)

Responsibilities

Build curated tables/views and semantic layers using advanced SQL for consistent reporting and downstream consumption
Ensure data quality and reconciliation (data validation rules, anomaly checks, auditability)
Coordinate across teams (security SMEs, data engineers, software engineers, stakeholders, reporting analysts, and governance teams) to ensure alignment, timely delivery, and positive stakeholder relationships
Work with engineering to integrate sources via Azure pipelines/functions and ensure reporting performance at scale
Document definitions for metrics, lineage, and data contracts; support stakeholders on interpretation and usage
Support security/compliance needs for reporting (access controls, row-level security, sensitive data handling)
Develop processes for data ingestion, transformation, and reporting pipelines
Review and validate data in platforms, datasets, and dashboards
Identify technical risks and recommend solutions, including data model optimizations, performance tuning, and scaling strategies
Build out dashboards when needed, provide analytics, develop monitoring alerts
Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement