Cybersecurity Data Analyst - Remote - Remote Eligible

Event 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, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The Event Data Analyst is responsible for the comprehensive investigation of workplace incidents and data events sing a systematic approach. This role focuses on identifying impacted data and collaborating with cross-functional teams, including management, peers, and legal, to ensure thorough data collection, objective analysis, and effective communication of findings. This role will work as part of the security team to build an investigative data platform.

You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Participate in incident investigations following a data event
• Secure and document incidents promptly to preserve digital evidence and prevent contamination or loss of critical information
• Collect and analyze diverse forms of data
• Present investigation results to management and stakeholders, ensuring clear understanding
• Create streamlined solutions to ingest, aggregate, deduplicate, and report on relevant data elements
• Be proactive and detail-oriented with strong organizational skills
• Work comfortably under time-sensitive conditions while ensuring thoroughness
• Maintain high ethical standards and the ability to remain objective and confidential

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction 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 or 3+ years of equivalent work experience
• 3+ years of experience in Data Analysis, Data Mining, or Data Scientist role
• 3+ years of experience writing and deploying production Python code in a professional environment
• 3+ years of experience in PySpark and Databricks
• 2+ years of experience with DevOps and CI/CD tools such as GitHub actions, Kubernetes, Docker, and Terraform
• 2+ years of experience with data visualization tools and libraries such as plotly, seaborn, Chart.js
• Experience with medallion schemas and data lake management
• Proficiency in SQL and data modeling and integration tools

Preferred Qualifications:

• Advanced degree in Data Science, Computer Science, or a related field
• Experience with machine learning and predictive analytics
• AI/ML experience building classification and fingerprinting files
• Experience delivering reports and analytics in a cyber security organization
• Experience leveraging and deploying Generative AI use cases to production environment
• Experience with entity resolution or MDM technologies
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with eDiscovery platforms

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.