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Optum Data Analytics Jobs (NOW HIRING)

Apex Informatics

Data Analyst

Job Title- Data Analyst Strong Tableau Location- Remote Duration- 06 Months Contract Job I'd ... Participate in requirements gathering sessions with NJ State users and Optum team members to ...

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How much do optum data analytics jobs pay per year?

As of Aug 31, 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.

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.

What are the key skills and qualifications needed to thrive as a data analyst at Optum?

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.

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 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.

How to get a job in healthcare data analytics?

To pursue a career in healthcare data analytics, candidates typically need a bachelor's degree in fields like data science, statistics, or health informatics. Gaining skills in data analysis tools such as SQL, Python, or R, along with understanding healthcare systems and obtaining relevant certifications like Certified Health Data Analyst (CHDA), can improve job prospects. Experience with electronic health records (EHR) systems and strong analytical skills are also valuable.

Is healthcare data analytics in demand?

Healthcare data analytics is in high demand as organizations seek to improve patient outcomes, reduce costs, and comply with regulations. Data analysts in this field often use tools like SQL, Python, and healthcare-specific software, and the role offers strong job growth prospects due to the increasing reliance on data-driven decision making in healthcare settings.
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Optum Data Analytics jobs near you
Infographic showing various Optum Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.

Associate Director / Director Commercial Analytics (Pharma & Lifescience)

Boston, MA • On-site

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

Full-time

Re-posted 25 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

  • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs
  • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
  • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
  • You will be responsible for account management, client relationships, and account growth
  • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
  • Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
  • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
  • Experience working with all levels of management and consulting with key business stakeholders.
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
  • You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals

Requirements

  • 10-16 years of professional work experience with at least 9 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Solid understanding of statistical and machine learning algorithms
  • Strong knowledge of Lifescience and Pharma domain
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law