Data Analyst

Optum; Dadri; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Optum in India is seeking a data science professional to design and maintain scalable data pipelines and analytics assets. You will develop statistical and ML solutions to answer business questions and measure performance, integrating diverse data sources.

You will collaborate with research, technology, and business stakeholders to deliver governed analytics, communicate insights to leadership, and ensure compliance with company policies and work arrangements.

Qualifications

• Bachelor's degree in a quantitative field.
• 3+ years in data science or analytics roles.
• Solid Python and SAS programming experience.
• Experience building analytics pipelines and dashboards.
• Experience with cloud data platforms (Azure, Databricks, Snowflake, AWS or GCP).
• Advanced SQL skills and handling large datasets.
• Ability to translate business questions into analytical approaches.

Responsibilities

• Design, build, and maintain scalable data pipelines, analytical datasets, and reporting assets.
• Develop statistical, machine learning, forecasting, segmentation, and advanced analytics solutions.
• Integrate survey, behavioral, operational, digital, and third-party data.
• Use automation, AI, and modern analytics tools to improve research operations.
• Partner with stakeholders to deliver reliable, scalable analytics solutions.
• Communicate findings and business implications clearly to leadership.
• Comply with company policies and work arrangements.

Skills

Python

SAS

SQL

Analytics pipelines

Education

Bachelor's degree in a quantitative field

Tools

Azure

Databricks

Snowflake

AWS

Google Cloud

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

• Design, build, and maintain scalable data pipelines, analytical datasets, and reporting assets that support customer experience, market research, and business performance measurement
• Develop statistical, machine learning, forecasting, segmentation, and advanced analytics solutions to answer complex business questions
• Integrate survey, behavioral, operational, digital, and third-party data to create a more complete view of customers, markets, and business outcomes
• Use automation, AI, and modern analytics tools to improve research operations, analytical efficiency, and insight generation
• Partner with research, business, technology, and data governance stakeholders to deliver reliable, scalable, and well-governed analytics solutions
• Communicate findings, recommendations, and business implications clearly to technical and non-technical audiences, including leadership stakeholders
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Engineering, Business Analytics, Market Research, or a related quantitative field
• 3+ years of experience in data science, analytics engineering, data engineering, business intelligence, or advanced analytics
• Solid programming experience in Python and SAS
• Experience building analytics pipelines, data workflows, dashboards, statistical models, or machine learning solutions
• Experience with cloud or enterprise data platforms such as Azure, Databricks, Snowflake, AWS, Google Cloud, or similar tools
• Advanced SQL skills and experience working with large-scale structured and unstructured datasets
• Proven solid ability to translate business questions into analytical approaches and communicate insights to stakeholders

Preferred Qualifications

• Master's degree or higher in a quantitative, analytics, or technical field
• Experience with market sizing, competitive intelligence, market research, survey analytics, or healthcare analytics
• Experience with modern AI/ML tools, GenAI applications, RAG, AI agents, or responsible AI practices
• Experience with synthetic data, simulation modeling, digital twin methods, or enterprise-scale analytics products

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.