Data Analyst - SAS

Optum India; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Optum India is seeking a data engineering and analytics lead to design, deploy, and maintain scalable data products. You will drive end-to-end delivery, collaborate with business and technology teams, and ensure data quality and governance.

The role emphasizes applying AI/ML, Generative AI, and advanced analytics to improve operational efficiency and decision making, while adhering to security and compliance standards.

Qualifications

• Bachelor’s or higher in a quantitative field such as Operational Research/Analytics/Applied Math.
• 3+ years with SAS (Advanced SAS, SAS Macros), SQL and Teradata.
• 3+ years in data visualization and BI reporting (Tableau or equivalents).
• 3+ years in quality analysis and automation.
• Hands-on ETL, Unix shell scripting and stored procedures.
• Experience with ML, predictive analytics and anomaly detection.
• Generative AI, LLMs, RAG and Agentic AI concepts.
• Cloud data platforms (Azure, AWS, GCP) and data warehousing incl. Teradata/Snowflake.

Responsibilities

• Lead design, development, deployment and support of scalable data solutions end-to-end.
• Optimize ETL/Data platforms; monitor production and enforce data governance.
• Collaborate with stakeholders to deliver strategic, AI-enhanced analytics initiatives.
• Ensure compliance with contracts, policies and evolving business directives.

Skills

Quality Analysis

Automation

Python/PySpark

AI/ML concepts

Generative AI

LLMs

Agentic AI

Security & Compliance

Education

Bachelor’s or higher in Operational Research/Analytics/Math

Tools

SAS

SQL

Teradata

Tableau/BI tools

ETL

Unix shell

GitHub/Airflow/Docker

Python/PySpark

Snowflake

Azure/AWS/GCP

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

• Lead the design, development, deployment, and support of scalable data engineering, analytics, and business intelligence solutions, ensuring high-quality, reliable, and maintainable data products. Drive end-to-end delivery across the solution lifecycle, including requirements gathering, architecture, development, testing, CI/CD implementation, production support, and continuous improvement
• Own operational excellence by optimizing ETL processes, data platforms, and system performance, while proactively monitoring production environments, resolving incidents, and implementing measures that enhance reliability, scalability, and efficiency. Establish and enforce robust data governance, quality, security, and compliance frameworks to ensure data integrity and adherence to organizational standards
• Collaborate closely with business and technology stakeholders to deliver strategic, business-aligned solutions, lead cross-functional initiatives, and manage multiple priorities in a fast-paced environment. Champion innovation through the application of AI/ML, predictive analytics, intelligent automation, Generative AI, and Agentic AI to improve operational efficiency, automate decision-making, enhance data quality, and drive measurable business value across data and analytics functions
• 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

• Bachelor's or higher degree in Operational Research, Business Analytics, Applied Mathematics/Statistics, or a related quantitative field
• 3+ years of experience in SAS (including Advanced SAS, SAS Macros), SQL, and Teradata
• 3+ years of experience in Data Visualization and BI reporting (Tableau or other BI tools)
• 3+ years of experience in Quality Analysis and Automation
• Hands-on experience with ETL processes, Unix shell scripting, and stored procedures
• Machine Learning, Predictive Analytics, and Anomaly Detection experience
• Generative AI, LLMs, RAG, and Agentic AI concepts experience
• Cloud Data Platforms (Azure, AWS, GCP) experience
• Solid expertise in data processing and warehousing technologies including Teradata and Snowflake
• Familiarity with version control and deployment tools such as GitHub, Airflow, Docker containerization
• Proficiency in Python/PySpark and Microsoft Excel/PowerPoint

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.