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Optum Data Analytics Jobs in Hamden, CT (NOW HIRING)

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Optum Data Analytics information

See Hamden, CT salary details

$152.1K

$177.7K

$200.8K

How much do optum data analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for optum data analytics in Hamden, CT is $177,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $164,500.00 and $190,400.00 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.

What job categories do people searching Optum Data Analytics jobs in Hamden, CT look for?

The top searched job categories for Optum Data Analytics jobs in Hamden, CT are:

Optum Data Analytics jobs near you
Infographic showing various Optum Data Analytics job openings in Hamden, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $177,711 per year, or $85.4 per hour.

Senior RWE/RWA Programmer - Remote

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Re-posted 8 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Brief Description: The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims, electronic medical records (EMR), and registry data. The successful candidate will possess a deep understanding about the use of Real-World Data (RWD), exceptional programming and analytical skills and a proven track record in delivering high-quality RWE analytic projects. The candidate will also ensure the timeliness and delivery of scientifically valid research

Essential Functions Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting objectives of the project. Clean and validate RWD for consistency and reliability Implement programming as specified from RWE protocol using a variety of RWD from multiple sources, including Optum and Flatiron Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses Create or review and approve programming plans at study and project level. Displays highly advanced knowledge regarding program, epidemiology methodologies implementation and system development life cycle concepts.

Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies Develop dashboards, reports, and presentations to communicate findings Work collaboratively with members of study teams to meet study and recurring report timelines Minimum Requirements MS in data science, epidemiology, statistics, public health or related discipline At least 7 years of RWD analysis experience using healthcare claims/EMR/registry databases within the biopharmaceutical industry or provider/payer organizations Fluence in programming software SQL and R is required. Knowledge of SAS and/or Python would be considered an advantage Optum and Flatiron experience are required Familiarity with US and global health care coding system (e.g. ICD, CPT, HCPCS, LOINC, MedDRA) and delivery system (e.g

payers and reimbursement models) Experience conducting routine and advanced statistical analyses for RWE generation, leveraging time-to-event, cross-sectional, and longitudinal data Experience with big data analytical platforms Deep understanding of observational study analysis Able to work in a fast-paced, flexible, team-oriented environment

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