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North East Medical Services (NEMS)

MSO SENIOR DATA ANALYST (ON-SITE)

Reposted One Month Ago
In-Office
94010, Burlingame, CA, USA
132K-152K Annually
Senior level
In-Office
94010, Burlingame, CA, USA
132K-152K Annually
Senior level
Perform healthcare data research, analysis, and reporting focused on Epic Tapestry and managed care measures (HEDIS, P4P, HCC/RAF, PMPM). Develop BI reports/dashboards, present insights to stakeholders, handle ad hoc requests, and obtain required Epic and data-model certifications.
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The Senior Data Analyst will be responsible for projects involving research, analysis, and the presentation of findings, insights, and recommendations based on various factors (ex: data insights, regulatory changes, feedback from QA reviews, market information, etc.) to solve business problems and improve outcomes.

Candidate is part of the NEMS MSO managed care Business Analytics team primarily focusing on the Epic Tapestry system.  Candidate is required to have prior experiences in healthcare data analysis, with thorough understanding in various data models for HEDIS, P4P, HCC, RAF, PMPM, BD/K, ED/K, IBNR, and other managed care reporting.   Must complete Epic Tapestry system fundamental training and must obtain certifications in Caboodle Data Model (CDW110v), Clarity Data Model (CLR110), Revenue Data Model (COG 230), and Cogito (COG170), at time of employment or within six months of hire. 


ESSENTIAL JOB FUNCTIONS:

 

  • Evaluate, communicate, and document business requests for implementation Prioritization.
  • Perform research by gathering data from a variety of healthcare sources, including internal and external data/research.
  • Present analytical findings and insights to stakeholders and leadership using effective storyboarding and dynamic visuals.
  • Diligently pursue learning and training opportunities to build skills and knowledge
  • Ability to translate project goals and requirements to business and technical teams with a confirmed understanding of development processes.
  • Responsible for completing ad hoc requests for data and analysis, utilizing business, operational, and analytical skills/knowledge.
  • Owns report development for reports/dashboards.
  • Performs other job duties as required by manager/supervisor.

Qualifications
  • Bachelor’s degree required, preferably in a healthcare related field.  Associate degree with minimum 6 years of relevant experience in healthcare data analytics field may be considered.
  • 4+ years analytical experience working in healthcare data quality reporting.
  • Epic Certification required or must obtain within 6 months of hire.
  • Expert in SQL and other common analytic/data tools (4+ years)
  • Development and Building experience with Business Intelligence tools like SQL Server, Reporting Server, PowerBI or other similar tools (4+ years)
  • Knowledge of standard healthcare Quality Measures and reporting, like NCQA HEDIS, CMS eCQM, PQA, P4P, and more (3+ years)
  • Understanding of the sources and contents of health care data with experience in reporting and/or analytic workflows for health care organizations
  • Displays strong communication abilities to effectively coordinate work and collaborate with other NEMS operations teams.
  • Motivation to build best in class software.
  • Able to research and apply problem solving, analytical skills.
  • Ability to work with people from diverse backgrounds and experiences.

 

LANGUAGE:

 

  • Must be able to speak, read and write English fluently.
  • Fluency in other languages is an asset.

STATUS:


  • This is an FLSA Exempt position.
  • This is not an OSHA high-risk position.
  • This is a Full Time position.

NEMS is proud to be an Equal Opportunity Employer welcoming diversity in our workforce. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

NEMS BENEFITS: Competitive benefits, including free medical, dental and vision insurance for employee, spouse and/or children; and company contribution to 401(k).
 

#LI-DNI

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