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Healthcare Claim Data Analytics Professional (4 days in office)

IQVIA

Healthcare Claim Data Analytics Professional (4 days in office)

full-timePosted: Aug 2, 2026Updated: Sep 1, 2026United States of America, MA, Burlington

Job Description

Job Location: Burlington, MA (Boston) working 3 days in office (4 days preferred) U.S. residents onlyAbout Cedar Gate TechnologiesCedar Gate Technologies, an IQVIA business, enables payers, providers, employers, and service administrators to excel at value-based care with a unified technology and services platform delivering analytics, care, and payment technology on a single data management foundation. At Cedar Gate, you’ll be part of a collaborative, innovative environment where great ideas thrive. We invest deeply in our people through ongoing training, comprehensive benefits, and a strong culture of teamwork, offering the chance to grow your skills while contributing to high impact initiatives for some of the world's most dynamic companies.Position SummaryAt Cedar Gate Technologies, an IQVIA business, the Senior Data Analytics Analyst will collaborate closely with Data Managers to analyze complex healthcare data, design scalable data solutions, and support the integration of client data into the Cedar Gate Analytics Platform. This role leverages a variety of analytic, statistical, and ETL tools to ensure accurate, efficient, and standardized data processing across multiple healthcare sources. In this role, you’ll play a critical part in transforming data into meaningful insights that improve healthcare outcomes, while growing your technical expertise within a supportive, innovation‑focused team. This role assumes prior, hands-on experience working with complex healthcare claims datasets and does not include foundational training.Roles & ResponsibilitiesInterpret, analyze, and validate data using advanced statistical, querying, and analytical techniques.Perform data cleansing, transformation, and aggregation from diverse healthcare data sources.Map disparate data fields into a unified schema and reconcile our client’s member information across datasets.Support data standardization efforts, including relationship code alignment, demographic normalization, member month calculations, and healthcare code analysis.Execute detailed data analysis tasks assigned by the reporting manager in support of client and internal goals.Follow organizational data processing standards using proprietary tools and ETL pipelines for Analytics.Partner with Data Managers and cross functional teams, including Client Success and Client Delivery, to gather requirements, document workflows, analyze use cases, and support implementation activities.Troubleshoot and resolve client technical issues related to healthcare claims, EMR data, and ancillary data sources; provide timely ad hoc support during scheduled and unscheduled client interactions.Experience / QualificationsThis position requires working in the office in Burlington, MA, at least 3 days per week (4 days per week preferred) to work alongside other data team members.Bachelor’s Degree in Computer Engineering, Computer Science, Data Science, or a related field is required.Minimum 3 years of experience (5+ years is preferred) in data centric roles with increasing levels of responsibility is requiredAt least 2 years of experience working with healthcare claims systems, EMR data, or related healthcare datasets is required.Strong data management skills and practical ETL experience are required.Proficiency with AWS, Redshift, SQL, and advanced Excel functions.Exposure to software development following Agile methodologies and team-based development processes.To be eligible for this position, you must reside in the same country and within a commutable distance where the job is located.The job’s advertised title differs from the official IQVIA Business Title: Senior Data Analytics AnalystIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.comIQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoeIQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.The potential base pay range for this role, when annualized, is $56,100.00 - $140,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Locations

  • United States of America, MA, Burlington

Skills Required

  • AWSintermediate

Required Qualifications

  • This position requires working in the office in Burlington, MA, at least 3 days per week (4 days per week preferred) to work alongside other data team members. (experience)
  • Bachelor’s Degree in Computer Engineering, Computer Science, Data Science, or a related field is required. (degree in computer engineering)
  • Minimum 3 years of experience (5+ years is preferred) in data centric roles with increasing levels of responsibility is required (experience, 3 years)
  • At least 2 years of experience working with healthcare claims systems, EMR data, or related healthcare datasets is required. (experience, 2 years)
  • Strong data management skills and practical ETL experience are required. (experience)
  • Proficiency with AWS, Redshift, SQL, and advanced Excel functions. (experience)
  • Exposure to software development following Agile methodologies and team-based development processes. (experience)
  • To be eligible for this position, you must reside in the same country and within a commutable distance where the job is located. (experience)
  • This position requires working in the office in Burlington, MA, at least 3 days per week (4 days per week preferred) to work alongside other data team members. (experience)
  • Bachelor’s Degree in Computer Engineering, Computer Science, Data Science, or a related field is required. (degree in computer engineering)
  • Minimum 3 years of experience (5+ years is preferred) in data centric roles with increasing levels of responsibility is required (experience, 3 years)
  • At least 2 years of experience working with healthcare claims systems, EMR data, or related healthcare datasets is required. (experience, 2 years)
  • Strong data management skills and practical ETL experience are required. (experience)
  • Proficiency with AWS, Redshift, SQL, and advanced Excel functions. (experience)
  • Exposure to software development following Agile methodologies and team-based development processes. (experience)
  • To be eligible for this position, you must reside in the same country and within a commutable distance where the job is located. (experience)
  • The job’s advertised title differs from the official IQVIA Business Title: Senior Data Analytics Analyst (experience)
  • IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com (experience)
  • IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. (experience)

Responsibilities

  • Interpret, analyze, and validate data using advanced statistical, querying, and analytical techniques.
  • Perform data cleansing, transformation, and aggregation from diverse healthcare data sources.
  • Map disparate data fields into a unified schema and reconcile our client’s member information across datasets.
  • Support data standardization efforts, including relationship code alignment, demographic normalization, member month calculations, and healthcare code analysis.
  • Execute detailed data analysis tasks assigned by the reporting manager in support of client and internal goals.
  • Follow organizational data processing standards using proprietary tools and ETL pipelines for Analytics.
  • Partner with Data Managers and cross functional teams, including Client Success and Client Delivery, to gather requirements, document workflows, analyze use cases, and support implementation activities.
  • Troubleshoot and resolve client technical issues related to healthcare claims, EMR data, and ancillary data sources; provide timely ad hoc support during scheduled and unscheduled client interactions.
  • Interpret, analyze, and validate data using advanced statistical, querying, and analytical techniques.
  • Perform data cleansing, transformation, and aggregation from diverse healthcare data sources.
  • Map disparate data fields into a unified schema and reconcile our client’s member information across datasets.
  • Support data standardization efforts, including relationship code alignment, demographic normalization, member month calculations, and healthcare code analysis.
  • Execute detailed data analysis tasks assigned by the reporting manager in support of client and internal goals.
  • Follow organizational data processing standards using proprietary tools and ETL pipelines for Analytics.
  • Partner with Data Managers and cross functional teams, including Client Success and Client Delivery, to gather requirements, document workflows, analyze use cases, and support implementation activities.
  • Troubleshoot and resolve client technical issues related to healthcare claims, EMR data, and ancillary data sources; provide timely ad hoc support during scheduled and unscheduled client interactions.

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