Senior Data Analyst

Optum India; Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Optum India is seeking a senior analytics professional to translate business questions into actionable insights. You will analyze multi-source healthcare data, identify trends and opportunities, and deliver decision-ready recommendations for cost, quality, and growth improvements.

You will collaborate with stakeholders in a matrixed COE, craft compelling narratives for executives, and drive adoption of insights across teams, with a focus on reproducible analytics and scalable frameworks.

Qualifications

• Degree in analytics, statistics, economics, engineering, computer science, or related field
• 5+ years of experience in analytics, strategy, or data-driven problem solving
• Experience with large, complex datasets including data extraction, transformation, and analysis (SQL, Python, or similar tools)
• Experience translating data into insights and recommendations for business or operational stakeholders
• Experience communicating findings clearly to both technical and non-technical audiences
• Experience working in a cross-functional, matrixed environment
• Proven solid analytical thinking with the ability to structure ambiguous problems and identify key drivers

Responsibilities

• Apply structured, hypothesis-driven problem solving to translate business questions into analytical approaches and clear insights
• Analyze complex, multi-source healthcare data to identify trends, drivers, and opportunities for improvement across cost, quality, and growth
• Synthesize findings into clear, decision-ready recommendations with a solid "so what" and quantified business impact
• Partner with stakeholders in a matrixed COE environment to shape problem statements, align on priorities, and drive adoption of insights
• Communicate insights through compelling storytelling tailored to executive and operational audiences
• Identify and prioritize opportunities for optimization
• Support end-to-end analytical delivery, including data exploration, feature engineering, model development (as applicable), and results interpretation
• Collaborate with data engineering and data platform teams to ensure data availability, quality, and usability for analytics use cases
• Contribute to development of reusable analytical assets, frameworks, and best practices that scale impact across the COE
• Ensure analytical outputs are accurate, reliable, and aligned to business context, with clear assumptions and limitations
• Continuously improve analytic approaches, streamline processes, and reduce low-value or redundant work
• Support the development of data-driven decision making by educating stakeholders and promoting evidence-based practices

Skills

Analytics

Strategy

Data-driven problem solving

SQL

Python

Cross-functional collaboration

Education

Analytics/Statistics/Economics/Engineering degree

Tools

SQL

Python

Power BI

Tableau

Azure

Databricks

Job description

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

• Apply structured, hypothesis-driven problem solving to translate business questions into analytical approaches and clear insights
• Analyze complex, multi-source healthcare data to identify trends, drivers, and opportunities for improvement across cost, quality, and growth
• Synthesize findings into clear, decision-ready recommendations with a solid "so what" and quantified business impact
• Partner with stakeholders in a matrixed COE environment to shape problem statements, align on priorities, and drive adoption of insights
• Communicate insights through compelling storytelling tailored to executive and operational audiences
• Identify and prioritize opportunities for optimization
• Support end-to-end analytical delivery, including data exploration, feature engineering, model development (as applicable), and results interpretation
• Collaborate with data engineering and data platform teams to ensure data availability, quality, and usability for analytics use cases
• Contribute to development of reusable analytical assets, frameworks, and best practices that scale impact across the COE
• Ensure analytical outputs are accurate, reliable, and aligned to business context, with clear assumptions and limitations
• Continuously improve analytic approaches, streamline processes, and reduce low-value or redundant work
• Support the development of data-driven decision making by educating stakeholders and promoting evidence-based practices
• 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

Required Qualifications

• Degree in analytics, statistics, economics, engineering, computer science, or related field
• 5+ years of experience in analytics, strategy, or data-driven problem solving
• Experience working with large, complex datasets including data extraction, transformation, and analysis (SQL, Python, or similar tools)
• Experience translating data into insights and recommendations for business or operational stakeholders
• Experience communicating findings clearly to both technical and non-technical audiences
• Experience working in a cross-functional, matrixed environment
• Proven solid analytical thinking with the ability to structure ambiguous problems and identify key drivers

Preferred Qualifications

• Experience in healthcare analytics (claims, financial, or operational data)
• Experience building dashboards or data products (Power BI, Tableau, etc.)
• Experience identifying and quantifying business impact (ROI, cost savings, revenue growth)
• Exposure to cloud-based data and analytics platforms (Azure, Databricks, etc.)
• Demonstrated ability to influence stakeholders and drive adoption of recommendations
• Proven solid storytelling and presentation skills, particularly for executive audiences
• Proven desire to continuously learn, challenge assumptions, and improve how analytics drives business outcomes

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.