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 setting, 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

Required Qualifications 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 At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes.

We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

📌 Data Analyst (Hyderabad)
🏢 Optum India
📍 Hyderabad