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Associate Clinical Data Analyst Jobs in Springfield, MA

Milliman's CMH Health Practice is looking for Healthcare Data Analysts to join their vibrant ... Through a team of professionals ranging from actuaries to clinicians, technology specialists to ...

Healthcare Provider L65 - Associate Vice President, AI and Data Solutions - Data Lead Join our AI ... Clinical data exchange and coding standards, including HL7, FHIR, and ICD * Data operations (ie ...

Data Strategy-Manager

Hartford, CT · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Data Governance- Manager

Hartford, CT · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

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Associate Clinical Data Analyst information

See Springfield, MA salary details

$17

$36

$60

How much do associate clinical data analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for associate clinical data analyst in Springfield, MA is $36.23, according to ZipRecruiter salary data. Most workers in this role earn between $29.23 and $41.92 per hour, depending on experience, location, and employer.

What does an associate clinical data analyst do?

An Associate Clinical Data Analyst is responsible for collecting, managing, and analyzing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They typically work closely with clinical research teams to support data entry, data cleaning, and the preparation of reports. Their work is essential in helping organizations make informed decisions about the safety and efficacy of medical treatments, devices, or drugs. This entry-level role often serves as a foundation for more advanced positions in clinical data management or biostatistics.

What are some common challenges faced by associate clinical data analysts when working with clinical trial data?

Associate Clinical Data Analysts often encounter challenges such as managing large volumes of complex clinical trial data, ensuring data accuracy and consistency, and adhering to strict regulatory standards. They may also need to resolve discrepancies found during data cleaning and work collaboratively with clinical research teams to clarify ambiguous data points. Staying organized and maintaining clear communication with colleagues are key to overcoming these challenges and ensuring high-quality data for analysis.

What are the key skills and qualifications needed to thrive as an associate clinical data analyst, and why are they important?

To thrive as an Associate Clinical Data Analyst, you need a solid background in life sciences, statistics, or a related field, often supported by a bachelor’s degree. Familiarity with data management systems like EDC (Electronic Data Capture), statistical software such as SAS or R, and regulatory standards is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, regulatory compliance, and the successful execution of clinical research studies.
Infographic showing various Associate Clinical Data Analyst job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,360 per year, or $36.2 per hour.

Healthcare Data Engineer - HEDIS & Quality (US)

ExlService Holdings, Inc.

Hartford, CT • On-site

Full-time

Posted 2 days ago

New


ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

135th of 496 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.

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.

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

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