Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Sr. Analyst, Digital HEDIS & Quality Analytics

  • Sr. Analyst, Digital HEDIS & Quality Analytics job type Posted on: Nov 01, 2026
  • Sr. Analyst, Digital HEDIS & Quality Analytics experience level EmblemHealth
  • Sr. Analyst, Digital HEDIS & Quality Analytics employment type New York, New York
  • Sr. Analyst, Digital HEDIS & Quality Analytics employment type Onsite
  • Sr. Analyst, Digital HEDIS & Quality Analytics salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Sr. Analyst, Digital HEDIS & Quality Analytics roles in New York.

View Salary Guide →

Job Title :

Sr. Analyst, Digital HEDIS & Quality Analytics

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Summary of PositionProvide analysis, reporting, and predictive modeling to support the quality department digital HEDIS strategy under the quality measurement analytics team. Implement automation of manual reporting and analysis of business implications and trends. Automate the intake, use and data governance of clinical and supplemental data sources to support all HEDIS/QARR/Star metrics. Identify areas of opportunity and new data sources to support quality metrics. Work closely with quality department, IT, NCQA certified HEDIS vendor and auditors to ensure readiness for digital quality. Prepare and present analytical dashboards and data to key stakeholders to support strategic decision making.Principal AccountabilitiesImplement reporting and reconciliation workflows and document processes.Responsible for medical trend studies as they pertain to quality initiatives.Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues.Work with IT and others to plan and execute digital readiness, including readiness for FHIR.Work with vendors, providers, and others to identify new sources of clinical data ingestion (e.g. data aggregators, EHRs, HIEs, etc).Perform research and collection of data, including data mining and reporting, which is provided to various customers inside and outside the department.Develop complex and/or advanced statistical/modeling analyses of quality metrics for Medicare, State Sponsored Programs, and other populations.Maintain automated quality dashboards and measure profiles utilizing data visualization tools.Provide analytical and technical support for design, development and maintenance of quality improvement and wellness initiatives. Build self-service reports to be used by the quality department.Analyze business problems related to quality experience of member, particularly related to how members receive care and other factors influencing the STARS rating.Present analytical findings to internal business partners, leading discussions and providing delivery of further analysis.Collaborate with internal quality management teams to assist on quality improvement initiatives.QualificationsBachelor’s Degree in analytical/quantitative field including healthcare management, finance, business, mathematics, engineering, applied stats/economics, or any other related fieldsMaster’s Degree preferred4 – 6+ years of relevant, professional work experience (Required)3+ years of experience in managed care/healthcare analytics (Required)Advanced knowledge of HEDIS and Medicare Stars, including experience working with electronic clinical quality measures and related data sources (Required)Proficient in Microsoft Office (Word, PowerPoint, Excel, Access) (Required)Advanced experience with relational database applications (such as SAS, R, SQL, or others) (Required)Experience with improving and automating processes using programming languages/software (Python, VBA, R, SAS, C++, or others) (Required)Experience with and proficient in statistical software/programs (such as SAS, R, Stata, Minitab or others) (Preferred)Experience with and proficient in data visualization tools (such as Power BI, Tableau) (Required)Strong communication skills (verbal, written, presentation, interpersonal) (Required)Demonstrated self-starter with ability to develop projects end to end independently (Required)

Jobcon Logo Position Details

Posted:

Nov 01, 2026

Reference Number:

10440_4478345093

Employment:

Full-time

City:

New York

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Sr. Analyst, Digital HEDIS & Quality Analytics    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Summary of PositionProvide analysis, reporting, and predictive modeling to support the quality department digital HEDIS strategy under the quality measurement analytics team. Implement automation of manual reporting and analysis of business implications and trends. Automate the intake, use and data governance of clinical and supplemental data sources to support all HEDIS/QARR/Star metrics. Identify areas of opportunity and new data sources to support quality metrics. Work closely with quality department, IT, NCQA certified HEDIS vendor and auditors to ensure readiness for digital quality. Prepare and present analytical dashboards and data to key stakeholders to support strategic decision making.Principal AccountabilitiesImplement reporting and reconciliation workflows and document processes.Responsible for medical trend studies as they pertain to quality initiatives.Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues.Work with IT and others to plan and execute digital readiness, including readiness for FHIR.Work with vendors, providers, and others to identify new sources of clinical data ingestion (e.g. data aggregators, EHRs, HIEs, etc).Perform research and collection of data, including data mining and reporting, which is provided to various customers inside and outside the department.Develop complex and/or advanced statistical/modeling analyses of quality metrics for Medicare, State Sponsored Programs, and other populations.Maintain automated quality dashboards and measure profiles utilizing data visualization tools.Provide analytical and technical support for design, development and maintenance of quality improvement and wellness initiatives. Build self-service reports to be used by the quality department.Analyze business problems related to quality experience of member, particularly related to how members receive care and other factors influencing the STARS rating.Present analytical findings to internal business partners, leading discussions and providing delivery of further analysis.Collaborate with internal quality management teams to assist on quality improvement initiatives.QualificationsBachelor’s Degree in analytical/quantitative field including healthcare management, finance, business, mathematics, engineering, applied stats/economics, or any other related fieldsMaster’s Degree preferred4 – 6+ years of relevant, professional work experience (Required)3+ years of experience in managed care/healthcare analytics (Required)Advanced knowledge of HEDIS and Medicare Stars, including experience working with electronic clinical quality measures and related data sources (Required)Proficient in Microsoft Office (Word, PowerPoint, Excel, Access) (Required)Advanced experience with relational database applications (such as SAS, R, SQL, or others) (Required)Experience with improving and automating processes using programming languages/software (Python, VBA, R, SAS, C++, or others) (Required)Experience with and proficient in statistical software/programs (such as SAS, R, Stata, Minitab or others) (Preferred)Experience with and proficient in data visualization tools (such as Power BI, Tableau) (Required)Strong communication skills (verbal, written, presentation, interpersonal) (Required)Demonstrated self-starter with ability to develop projects end to end independently (Required)

Loading
Please wait..!!