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Healthcare Data Analytics Jobs in Connecticut (NOW HIRING)

Stamford Health

Cogito Analytics Manager

Stamford, CT · On-site

The role requires strong project management, stakeholder engagement, healthcare analytics, and Epic Cogito expertise. This position serves as a key contributor to Stamford Health's enterprise data ...

Stamford Health

Cogito Analytics Manager

Stamford, CT · On-site

The role requires strong project management, stakeholder engagement, healthcare analytics, and Epic Cogito expertise. This position serves as a key contributor to Stamford Health's enterprise data ...

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

$140 - $190/hr

... analytics and our goal is to bring transparency and efficiency to the healthcare market. Our ... Role Description The Healthcare Data Integration Lead is responsible for the end-to-end lifecycle ...

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

... analytics and our goal is to bring transparency and efficiency to the healthcare market. Our ... Role Description The Healthcare Data Integration Lead is responsible for the end-to-end lifecycle ...

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Healthcare Data Analytics information

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$23

$52

$89

How much do healthcare data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for healthcare data analytics in Connecticut is $52.08, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.99 per hour, depending on experience, location, and employer.

What is a healthcare data analytics?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

What are the key skills and qualifications needed to thrive in healthcare data analytics?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What are some typical challenges faced in a healthcare data analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

How do I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare data and regulations, is essential. Gaining experience through internships or certifications such as Certified Health Data Analyst (CHDA) can also improve job prospects.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, with certifications such as Certified Health Data Analyst (CHDA) enhancing job prospects. The role offers strong job growth, competitive salaries, and opportunities across healthcare providers, insurance companies, and technology firms.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

What are the most commonly searched types of Healthcare Data Analytics jobs in Connecticut?

The most popular types of Healthcare Data Analytics jobs in Connecticut are:

What are popular job titles related to Healthcare Data Analytics jobs in Connecticut?

For Healthcare Data Analytics jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Analytics jobs in Connecticut look for?

The top searched job categories for Healthcare Data Analytics jobs in Connecticut are:

What cities in Connecticut are hiring for Healthcare Data Analytics jobs?

Cities in Connecticut with the most Healthcare Data Analytics job openings:

Healthcare Data Analytics jobs near you
Infographic showing various Healthcare Data Analytics job openings in Connecticut as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $108,326 per year, or $52.1 per hour.

Healthcare Data Engineer - HEDIS & Quality (US)

ExlService Holdings, Inc.

Hartford, CT • On-site

Full-time

Posted 13 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

138th of 500 rated business services

Job description


Healthcare Data Engineer/Data Analyst - HEDIS & Quality
Hybrid; Hartford, CT
$85-90k plus bonus & benefits
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Responsibilities
Responsibilities
  • Support HEDIS, Supplemental CQL, and quality measure analysis activities.
  • Perform data validation, reconciliation, testing, and root cause analysis
  • Analyze measure outputs and supporting evidence
  • Develop SQL and Python solutions to automate data processing, validation, and reporting activities
  • Support FHIR mapping and healthcare data transformation initiatives
  • Document findings, issues, data flows, and business requirements
  • Support modernization efforts related to quality measurement and healthcare reporting

Qualifications
Required Skills
  • Minimum 3+ years of Healthcare Data Engineering, Healthcare Analytics, Quality Measurement, or Healthcare Reporting experience
  • Strong SQL development and data analysis skills
  • Python development experience
  • Experience with GCP, Big Query, or other cloud platforms
  • Understanding of healthcare data including claims, membership, provider, and clinical data
  • Experience with data validation, reconciliation, testing, and troubleshooting
  • Strong analytical, problem-solving, and communication skills

Preferred Skills
  • HEDIS or healthcare quality measures experience
  • Exposure to HL7 FHIR concepts and healthcare interoperability
  • Exposure to Clinical Quality Language (CQL)
  • Experience supporting data quality and testing initiatives
  • Experience working in Agile delivery environments

Nice-to-Have Certifications
  • Google Cloud Associate Cloud Engineer
  • Healthcare Informatics Certification
  • HL7 FHIR Fundamentals Training

Ideal Candidate
A motivated healthcare data professional with strong SQL and Python skills who can quickly learn HEDIS, CQL, FHIR, and DQME concepts while supporting measure development, testing, and modernization initiatives.

What ExlService Holdings employees say

Pay

Hours and flexibility

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