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.

Primary Responsibilities

• Data Analytics & Business Intelligence
• Manage, transform, and analyze large volumes of structured data from multiple enterprise systems
• Deliver Business Intelligence (BI) solutions using Agile software development methodologies
• Conduct data profiling, cleansing, normalization, and validation to ensure data accuracy and integrity
• Develop and maintain reporting models, dashboards, scorecards, and self-service analytics solutions
• Create specifications to standardize and integrate data into common enterprise structures
• Perform exploratory and diagnostic analysis to identify trends, patterns, anomalies, and business opportunities
• Translate complex analytical findings into meaningful business insights and recommendations
• Data Science & Advanced Analytics
• Develop and maintain data preparation, transformation, and validation routines to support advanced analytics and data mining initiatives
• Apply statistical analysis, machine learning techniques, and predictive modeling to solve business problems
• Utilize Python and associated libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch for data processing, analysis, and model development
• Evaluate, monitor, and optimize model performance to ensure accuracy, reliability, and scalability
• Artificial Intelligence & Automation
• Design, build, deploy, and optimize Generative AI and AI-powered analytics solutions
• Develop AI-enabled workflows to improve operational efficiency and business outcomes
• Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and reporting platforms
• Stay current with emerging AI technologies and recommend innovative solutions for business challenges
• Data Engineering & Technical Support
• Create and maintain data pipelines, validation frameworks, and automation processes to improve data quality and operational efficiency
• Analyze existing code bases to identify performance, reliability, and scalability issues
• Implement code optimizations and enhancements to improve system performance and maintainability
• Provide technical consultation and support for database, reporting, data infrastructure, and analytics-related issues
• Support enterprise data governance, documentation, and compliance requirements
• Stakeholder Management & Communication
• Partner with business stakeholders to understand requirements and translate them into analytical solutions
• Develop actionable recommendations and present findings to internal stakeholders, external partners, and senior leadership
• Communicate complex technical concepts and analytical results to both technical and non-technical audiences
• Contribute to project planning, estimation, prioritization, and continuous improvement initiatives
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
  

• Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Information Systems, Engineering, or a related field
• 5+ years of experience in data analytics, business intelligence, data science, or related disciplines
• Hands-on experience with machine learning and advanced analytical techniques
• Experience developing and deploying AI/Generative AI solutions
• Solid understanding of Agile development practices
• Skills in SQL, Snowflake, Power BI
• Solid proficiency in SQL, Python, and data visualization tools (Power BI)
• Proven excellent analytical, problem-solving, and communication skills