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Optum Data Analytics Jobs in Connecticut (NOW HIRING)

UnitedHealth Group

Senior Data Engineer (DBA)

Hartford, CT · On-site

$106K - $145K/yr

Optum is a global organization that delivers care, aided by technology to help millions of people ... Strong analytical, problem-solving, and troubleshooting abilities * Ability to work effectively ...

UnitedHealth Group

Senior Data Engineer (DBA)

Hartford, CT · Remote

$106K - $145K/yr

Optum is a global organization that delivers care, aided by technology to help millions of people ... Strong analytical, problem-solving, and troubleshooting abilities * Ability to work effectively ...

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Optum Data Analytics information

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.
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Optum Data Analytics jobs near you
Infographic showing various Optum Data Analytics job openings in Connecticut as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Senior RWE/RWA Programmer - Remote

Senior RWE/RWA Programmer - Remote

Penfield Search Partners

Fairfield, CT • Remote

Other

Posted 14 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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