Data Analyst
Noida, Uttar Pradesh
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop statistical, machine learning, forecasting, segmentation, and advanced analytics solutions to answer complex business questions
Partner with research, business, technology, and data governance stakeholders to deliver reliable, scalable, and well-governed analytics solutions
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Engineering, Business Analytics, Market Research, or a related quantitative field
- Experience building analytics pipelines, data workflows, dashboards, statistical models, or machine learning solutions
- 3+ years of experience in data science, analytics engineering, data engineering, business intelligence, or advanced analytics
- Experience with cloud or enterprise data platforms such as Azure, Databricks, Snowflake, AWS, Google Cloud, or similar tools
Preferred experience
- 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
Qualification wording
Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Engineering, Business Analytics, Market Research, or a related quantitative field
Experience building analytics pipelines, data workflows, dashboards, statistical models, or machine learning solutions
3+ years of experience in data science, analytics engineering, data engineering, business intelligence, or advanced analytics
Experience with cloud or enterprise data platforms such as Azure, Databricks, Snowflake, AWS, Google Cloud, or similar tools
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
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Snowflake
- SAS
- Google Cloud (GCP)
Source — Tool mentions in context
- 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
- 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
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Noida, Uttar Pradesh
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 5, 2026
- Recorded sightings
- 27
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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