Quality Initiative Program Analyst

Integra Connect

United States

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Medical/Dental/Vision Insurance
Paid Time Off
401k with employer match
Paid Holidays

Job summary

Integra Connect is seeking a QI Data Analyst to provide quantitative insights for oncology practices and cancer centers. You will validate data, run queries, and develop dashboards and analytics outputs to improve patient care and practice performance.

The role collaborates with Quality Initiative Managers, Data Curation, Clinical, and Technology teams to ensure data collection and quality reporting meet stakeholder needs and project goals.

Qualifications

  • Bachelor’s degree in a related field (e.g., Data Analytics, Business Analytics, Health Informatics, Public Health, or similar).
  • Masters Degree preferred

Responsibilities

  • Contribute to the design, testing, and maintenance of Quality Measure (QM) dashboards to ensure accuracy and usability.
  • Support user acceptance testing (UAT) and collaborate with internal teams to validate dashboard functionality.
  • Build and maintain dashboard bookmarks, filters, and configurations that enhance QI project reporting.
  • Investigate and resolve discrepancies between analytics outputs and dashboard visualizations to maintain data consistency.
  • Develop and maintain data quality audit files for assigned projects, partnering with the Curation team to investigate and resolve issues.
  • Generate and manage patient lists used for data curation activities, ensuring completeness and accuracy.
  • Review and update curated patient lists to reflect completed and abandoned cases, identifying patients eligible for inclusion.
  • Conduct data investigations to address discrepancies identified by team members and prepare regular progress summaries or audit reports.
  • Maintain a centralized library of analytics questions, methodologies, and reusable templates across projects.
  • Provide guidance on constructing QI analyses, interpreting results, and applying best practices for data visualization.
  • Perform ad-hoc analyses to support senior QI Managers and project teams, ensuring timely and accurate delivery of insights.
  • Develop and refine analytic templates and dashboards for recurring reporting needs.
  • Deliver data-driven insights in response to practice and internal stakeholder queries.
  • Collaborate with internal teams to develop self-service data interrogation tools that empower practices to explore their data.
  • Communicate findings clearly and effectively, supporting the translation of analytics into actionable recommendations.
  • Support the development of publications, abstracts, and presentations that highlight the impact of quality initiatives.
  • Contribute to the documentation and communication of analytic results for internal and external audiences.

Skills

SQL
R
Python

Education

Bachelor’s degree in a related field
Master’s degree preferred

Tools

Power BI
Tableau

Job description

We are a value-based, precision medicine company specializing in Health IT, real-world data, and digital health solutions for specialty providers, payers, and life sciences companies.Through the provision of technology products and technology-enabled services, along with unmatched clinical expertise, we are able to close gaps in care, improve patient outcomes, generate real-world evidence, and accelerate and augment customer commercial success across the healthcare value chain. We are looking for like-minded individuals committed to making a difference in healthcare. Come join our growing team!

Job Description:

The Quality Initiatives (QI) Data Analyst provides quantitative insights to oncology practices and cancer centers to improve patient care and outcomes. This role is responsible for effective analytic outputs through data validation, interrogation, and standardization. The QI Analyst will collaborate closely with internal teams—including Quality Initiative Managers, Data Curation, Clinical, and Technology—to ensure that data collection and quality measure reporting meet the needs of practices and internal stakeholders.

This role is responsible for building data quality audits, assessing dashboard enhancements and updates, designing curation queues for studies, developing analytics output and conducting ad-hoc requests, and supporting publications related to QI projects. The ideal candidate is detail-oriented, data-savvy, forward-thinking, analytical, and passionate about leveraging data to improve patient outcomes and practice performance.

Responsibilities:
Dashboard Development and Support
  • Contribute to the design, testing, and maintenance of Quality Measure (QM) dashboards to ensure accuracy and usability.
  • Support user acceptance testing (UAT) and collaborate with internal teams to validate dashboard functionality.
  • Build and maintain dashboard bookmarks, filters, and configurations that enhance QI project reporting.
Data Quality Management Support
  • Investigate and resolve discrepancies between analytics outputs and dashboard visualizations to maintain data consistency.
  • Develop and maintain data quality audit files for assigned projects, partnering with the Curation team to investigate and resolve issues.
Data Curation Support
  • Generate and manage patient lists used for data curation activities, ensuring completeness and accuracy.
  • Review and update curated patient lists to reflect completed and abandoned cases, identifying patients eligible for inclusion.
  • Conduct data investigations to address discrepancies identified by team members and prepare regular progress summaries or audit reports.
Analytics Development and Reporting
  • Maintain a centralized library of analytics questions, methodologies, and reusable templates across projects.
  • Provide guidance on constructing QI analyses, interpreting results, and applying best practices for data visualization.
  • Perform ad-hoc analyses to support senior QI Managers and project teams, ensuring timely and accurate delivery of insights.
  • Develop and refine analytic templates and dashboards for recurring reporting needs.
Practice Insights and Collaboration
  • Deliver data-driven insights in response to practice and internal stakeholder queries.
  • Collaborate with internal teams to develop self-service data interrogation tools that empower practices to explore their data.
  • Communicate findings clearly and effectively, supporting the translation of analytics into actionable recommendations.
Publications and Thought Leadership
  • Support the development of publications, abstracts, and presentations that highlight the impact of quality initiatives.
  • Contribute to the documentation and communication of analytic results for internal and external audiences.
Qualifications:
  • Bachelor’s degree in a related field (e.g., Data Analytics, Business Analytics, Health Informatics, Public Health, or similar). Masters Degree preferred
  • 5+ years of experience in healthcare analytics, data quality, or clinical data management; oncology experience required.
  • Proficiency with electronic health care record data
  • Proficiency with data query languages (e.g., SQL,R, Python)
  • Proficiency with data visualization tools (e.g., Power BI, Tableau)
  • Strong analytical and problem-solving skills with attention to detail and data accuracy.
  • Ability to translate complex data findings into clear, actionable insights.
  • Excellent written and verbal communication skills with the ability to collaborate across cross-functional teams.
Physical Requirements/ Working Conditions:
  • Sitting at a desk and computer setup daily and overnight travel up to 25-30% of the time.

Integra Connect, LLC provides a comprehensive benefits plan

  • Medical/Dental/Vision Insurance beginning the 1st of the month following your date of hire
  • Paid Time Off
  • 401k with employer match
  • Paid Holidays and Floating Holiday

Equal Opportunity Employer

Please note that the deadline for submitting applications is October 31, 2026. All applications must be received by this date to be considered.

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