UnitedHealth Group Data Analyst Recruitment 2026
UnitedHealth Group's Optum is hiring a Data Analyst in Noida, Uttar Pradesh. The role focuses on building scalable data pipelines and analytical datasets, developing advanced analytics and machine learning solutions, integrating multiple data sources, applying AI and automation, and communicating insights to business and technical stakeholders.
UnitedHealth Group
About UnitedHealth Group
UnitedHealth Group is a healthcare and technology organization whose Optum business provides healthcare services, technology, data and resources designed to improve health outcomes and help make the healthcare system work better.
Eligibility Criteria
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Engineering, Business Analytics 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 and data workflows
- Experience with dashboards, statistical models or machine learning solutions
- Experience with cloud or enterprise data platforms such as Azure, Databricks, Snowflake, AWS or Google Cloud
- Advanced SQL skills
- Experience working with large-scale structured and unstructured datasets
- Ability to translate business questions into analytical approaches
- Ability to communicate analytical insights to technical and non-technical stakeholders
Key Responsibilities
- Design and maintain scalable data pipelines
- Build analytical datasets and reporting assets
- Support customer experience, market research and business performance measurement
- Develop statistical and machine learning solutions
- Develop forecasting and segmentation solutions
- Integrate survey, behavioral, operational, digital and third-party data
- Use automation and AI tools to improve analytical efficiency
- Partner with research, business, technology and data governance stakeholders
- Deliver reliable and scalable analytics solutions
- Communicate findings and recommendations to technical and non-technical audiences
- Present business implications to leadership stakeholders
- Follow company policies and data governance requirements
Important Skills
- Python
- SAS
- Advanced SQL
- Data analytics
- Data engineering
- Analytics pipelines
- Machine learning
- Statistical analysis
- Forecasting
- Segmentation
- Dashboard development
- Azure
- Databricks
- Snowflake
- AWS
- Google Cloud
- Artificial Intelligence
- Automation
- Data visualization
- Stakeholder communication
Selection Process
- Application and resume screening
- Candidate shortlisting
- Technical or analytical assessment where applicable
- Technical interview
- Managerial or team interview
- HR discussion
- Final selection and offer
Salary and Benefits
- Estimated salary of ₹11–20 LPA based on current UnitedHealth Group Data Analyst salary information for Noida
- Healthcare and wellness benefits
- Financial wellbeing and retirement-related benefits
- Emotional wellbeing resources and support
- Professional development opportunities
- Opportunity to work with modern analytics and AI technologies
- Exposure to large-scale healthcare data and analytics
- Career development opportunities within Optum
Frequently Asked Questions
The estimated salary is ₹11–20 LPA. UnitedHealth Group does not publish the compensation range in the official job posting.
Candidates should have a Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Engineering, Business Analytics or a related quantitative field.
The position requires 3 or more years of experience in data science, analytics engineering, data engineering, business intelligence or advanced analytics.
The role requires Python, SAS and advanced SQL, along with experience in analytics pipelines, machine learning or statistical solutions and cloud or enterprise data platforms.
Candidates can apply through the official UnitedHealth Group Careers Portal using Requisition ID 2388569.
Note: Only shortlisted candidates will be contacted for the next round of the selection process.