Accompany Health

#Letusaccompanyyou

Senior Healthcare Data Analyst

Data AnalystData AnalystFull TimeRemoteTeam 11-50H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

12 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

As a Senior Healthcare Data Analyst for Accompany Health you will be:

  • A mission-critical, early part of our growing finance team (and company)
  • Help to build the data assets, processes and models that will provide insight into the company’s medical expense and risk adjustment performance
  • Collaborate with our highly talented product, engineering, clinical, and operations teams that come from a variety of backgrounds

Responsibilities will include:

  • Demonstrate mastery of SQL and BI tools (e.g., Tableau or Looker) to efficiently derive complex datasets and dashboards
  • Serve as the Sr Data Analyst for the monthly enterprise reporting process, including reviewing reporting domains such as patient engagement, HEDIS, CMS HCC compliance, and additional as necessary
  • Support the financial and operational team to understand business performance and identify areas for improvement
  • Develop, implement and maintain consistent process for data quality controls to ensure data integrity and make recommendations to improve data integrity
  • Conduct analytics and reporting using data from payer claims, CMS files, electronic medical records, and other sources to deliver actionable insights to various teams
  • Fulfill ad hoc data requests for stakeholders
  • Work directly with product and Engineering teams to define data requirements for payer data ingestion and data warehousing
  • Maintain clean and well-documented code
  • Work with team members to develop and continuously improve best practices
  • Mentor others

Qualifications

  • 4+ years experience in healthcare data analytics or healthcare economics
  • 4+ years experience with analytic and modeling tools and software (SAS, SQL, Python, R, etc)
  • Demonstrated understanding of key managed care concepts such as Risk Adjustment, Provider Capitation, Diagnosis Related Groups (DRG’s), Ambulatory Patient Groups (APF’s), etc
  • Ability to review new datasets for accuracy and consult with key stakeholders to contextualize data inconsistencies and the resulting impact to reporting and measurement design
  • Excellent written and verbal communication skills

Requirements

  • Experience working with government healthcare programs such as Medicare, Medicare Advantage, and Medicaid
  • Familiarity with value-based care
  • Intermediate to advanced knowledge of data visualization tools (e.g., Tableau or Looker) is a plus

Benefits

  • The base salary range for this full-time position is $120,000-$135,000 + equity + benefits
  • Our salary ranges are determined by role, level, and location
  • Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training

Job Requirements

  • 4+ years experience in healthcare data analytics or healthcare economics
  • 4+ years experience with analytic and modeling tools and software (SAS, SQL, Python, R, etc)
  • Demonstrated understanding of key managed care concepts such as Risk Adjustment, Provider Capitation, Diagnosis Related Groups (DRG’s), Ambulatory Patient Groups (APF’s), etc
  • Ability to review new datasets for accuracy and consult with key stakeholders to contextualize data inconsistencies and the resulting impact to reporting and measurement design
  • Excellent written and verbal communication skills
  • Experience working with government healthcare programs such as Medicare, Medicare Advantage, and Medicaid
  • Familiarity with value-based care
  • Intermediate to advanced knowledge of data visualization tools (e.g., Tableau or Looker) is a plus

Benefits

  • The base salary range for this full-time position is $120,000-$135,000 + equity + benefits
  • Our salary ranges are determined by role, level, and location
  • Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training

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