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Optum Data Analytics Jobs (NOW HIRING)

Data Analyst - Remote

Eden Prairie, MN · Remote

$72K - $130K/yr

Optum is a global organization that delivers care, aided by technology to help millions of people ... The PBM Consumer Analytics team is responsible for data analytics to identify impact to members ...

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Optum is a global organization that delivers care, aided by technology to help millions of people ... Serve as a senior analytics partner to the Credit team, providing data-driven insights across ...

Senior Healthcare Analyst

Las Vegas, NV · Remote

$82K - $103K/yr

Optum is a global organization that delivers care, aided by technology to help millions of people ... Join us and put your data analytics knowledge and skills to work in support of Operational Finance.

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Optum Data Analytics information

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$153K

$178.7K

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How much do optum data analytics jobs pay per year?

As of Jul 21, 2026, the average yearly pay for optum data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

Is a data analyst a high paid job?

Data analysts, including roles in organizations like Optum Data Analytics, typically earn competitive salaries that vary by experience, location, and industry. In healthcare and analytics sectors, salaries tend to be higher for those with advanced skills in tools like SQL, Excel, and data visualization, as well as relevant certifications. Overall, data analysis is considered a well-paying profession with growth potential.

How does an Optum Data Analytics professional typically collaborate with cross-functional teams to drive data-driven decision making?

As an Optum Data Analytics professional, you'll often work closely with clinical, operational, and IT teams to gather requirements, interpret data needs, and translate business questions into actionable analytical solutions. Collaboration usually involves regular meetings, joint problem-solving sessions, and presenting findings to both technical and non-technical stakeholders. This teamwork ensures that analytics initiatives align with organizational goals and result in practical, data-backed improvements in healthcare delivery. Strong communication and the ability to explain complex data concepts clearly are key to successful collaboration in this role.

What is the salary of data analyst in Optum?

The average salary for a data analyst at Optum typically ranges from $60,000 to $80,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Benefits often include health insurance, retirement plans, and opportunities for professional development.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a key role in interpreting complex health data, and while AI tools can automate routine tasks like data processing and reporting, they are unlikely to fully replace analysts. Instead, AI is expected to augment their work, requiring analysts to develop skills in data management, interpretation, and tool usage to stay relevant.

What is the difference between Optum Data Analytics vs Optum Data Analyst?

AspectOptum Data AnalyticsOptum Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; experience with analytics toolsBachelor's degree in similar fields; proficiency in data analysis software
Work EnvironmentHealthcare and insurance settings, collaborative teamsHealthcare data teams, reporting and analysis tasks
Employer & Industry UsageUsed across healthcare analytics projects within OptumCommonly employed in healthcare organizations for data reporting

Optum Data Analytics involves advanced analysis, modeling, and strategic insights, often requiring specialized skills. In contrast, Optum Data Analysts focus on data reporting, cleaning, and basic analysis. Both roles are integral to healthcare data management but differ in scope and complexity.

What are the key skills and qualifications needed to thrive as a Data Analyst at Optum, and why are they important?

To thrive as a Data Analyst at Optum, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in data science, mathematics, or a related field. Familiarity with data analytics tools like SQL, Python, Tableau, and experience with healthcare data systems such as EPIC or SAS are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for translating complex data into actionable insights. These skills are essential for driving data-informed decision-making and improving healthcare outcomes in a complex, data-rich environment.

Is it easy to get into Optum?

Optum Data Analytics roles typically require relevant skills in data analysis, healthcare knowledge, and proficiency with tools like SQL and Excel. The hiring process can be competitive, often involving multiple interview rounds and assessments, but candidates with strong analytical skills and relevant experience have good chances of success.

What is Optum Data Analytics?

Optum Data Analytics refers to the use of advanced data analysis tools and techniques at Optum, a healthcare services and innovation company, to interpret complex healthcare data. Analysts in this field help organizations make data-driven decisions to improve patient outcomes, optimize costs, and enhance operational efficiency. They work with large datasets, apply statistical methods, and use technologies such as machine learning and predictive modeling. Their work supports everything from clinical research to population health management and strategic business planning.
More about Optum Data Analytics jobs
What cities are hiring for Optum Data Analytics jobs? Cities with the most Optum Data Analytics job openings:
What states have the most Optum Data Analytics jobs? States with the most job openings for Optum Data Analytics jobs include:
Infographic showing various Optum Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.
Principal Data Scientist - Remote

Principal Data Scientist - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 14 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Transform Healthcare Through AI Innovation at Optum 

Optum is a global organization delivering care, powered by data and technology, to help millions of people live healthier lives. At Optum.ai, we are not just witnessing the AI transformation in healthcare-we are leading it. Our mission is clear: to simplify healthcare with AI, turning insight into action at a scale few organizations in the world can match. 

As part of the Optum.ai team, you'll work at the intersection of cutting-edge artificial intelligence and real-world healthcare impact. From reducing administrative burden for providers to anticipating patient needs and improving access to quality care, your work will help solve some of healthcare's most complex challenges-and directly improve health outcomes for millions of people. 

You'll collaborate with world-class talent across data science, engineering, product, and healthcare domains, backed by the reach and stability of Optum and UnitedHealth Group. Here, responsible innovation matters. So do comprehensive benefits, meaningful career growth, and the opportunity to make a tangible difference-advancing health equity and creating a simpler, more connected healthcare experience for everyone. 
This is more than a job. It's a chance to shape the future of healthcare through the transformative power of AI.

Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.

As a Principal Data Scientist, you will serve as a senior individual contributor responsible for designing and delivering advanced AI/ML and Generative AI systems that address complex healthcare and operational challenges. You will lead the development of large-scale machine learning solutions, architect GenAI and agent-based systems, and drive technical innovation across high-impact AI initiatives. This role requires deep hands-on expertise in machine learning, LLM systems, distributed AI architectures, and production-grade ML platforms.

You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities: 

  • Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems
  • Develop Generative AI and LLM-powered solutions including retrieval-augmented generation (RAG) pipelines, domain-adapted LLMs, and AI copilots for enterprise workflows
  • Architect scalable AI and ML systems including feature engineering pipelines, feature stores, model training workflows, model serving infrastructure, monitoring systems, and automated retraining pipelines
  • Build agentic AI and autonomous workflows using agent frameworks, agentic skills, MCP integrations, and agent-to-agent (A2A) communication patterns
  • Advance model evaluation, reliability, and monitoring strategies including offline metrics, LLM benchmarking, safety testing, hallucination mitigation, and drift detection
  • Drive responsible AI practices including explainability, interpretability, bias detection, fairness evaluation, and governance aligned with enterprise and regulatory standards
  • Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architectures
  • Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
 

Required Qualifications: 

  • 10 years of experience in machine learning, artificial intelligence, or applied data science with 7 years of designing and deploying production machine learning systems
  • 8 years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, or equivalent along with solid SQL skills
  • 5 years of experience deploying production ML systems including model serving, monitoring, ML lifecycle management, and collaboration with engineering teams
  • 3 years of experience developing Generative AI or LLM-based applications including prompt engineering, RAG pipelines, LLM evaluation, and safety guardrails
  • 1 years of experience building or evaluating agentic AI systems including AI agents, agentic skills, Model Context Protocol (MCP), agent-to-agent (A2A) interaction patterns, or autonomous workflows

Preferred Qualifications:  

  • Experience working with distributed ML systems and large-scale data platforms such as Spark, Databricks, Ray, or Kubernetes-based ML systems
  • Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP
  • Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7
  • External contributions such as publications, patents, or open-source projects in machine learning or generative AI

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

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.

 

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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