Career Opportunities

Senior Statistical Healthcare Data Analyst

Summary of Position

The Senior Statistical Data Analyst will be responsible for a variety of analytic and statistical analyses. This individual will support the innovation, enhancement, and development of product methodologies. This includes the design and development of related statistical solutions to accomplish these tasks.

The role will also translate client business needs into data driven deliverables and products with responsibility for the creation of SQL queries, SAS programs, and other statistical programming mechanisms as necessary to meet client deliverables. Working with other analysts and business representatives, this individual will also be able to report and present results and findings to various levels of an organization, both internal and external. They will also be able to work with clients to translate their needs and requirements into statistical analyses in order to provide robust solutions.

The successful candidate will have an understanding of healthcare claims data and a working knowledge of healthcare coding concepts (ICD, HPCPs, CPT, etc.). They should also have a strong analytic and statistical background and be able to extract information from the database and create usable and actionable information. This person will also have a broad knowledge of medical and dental data, healthcare fee schedules and data products and an ability to apply that knowledge to data solutions.

Primary Responsibilities

  • Work with statistical analytical toolsets such as SAS to produce database tables, statistical results and graphical representations.
  • Conduct statistical analyses, including regression analyses and hazard analyses.
  • Ability to query, merge and cleanse large datasets.
  • Evaluate multiple analyses to derive informative, well-organized results that can be documented and presented to stakeholders in the form of tables, charts, and graphs.
  • Understand and work with all aspects of healthcare claims data to identify trends and other salient information.
  • Work on FAIR Health data products and create reports and analytics that reflect actionable, value infused information based on the results.
  • Evaluate and establish validity of claims data and data element combinations to ensure accuracy and completeness of all reporting results.
  • Utilize strong healthcare data knowledge to help to craft data analyses to support client analyses and internal products.
  • Follow good programming practices, including writing code that is comprehensible, commented, and easy to modify.
  • Investigate and resolve issues independently related to statistical modeling and data quality.
  • Assist in the enforcement and achievement of project deadlines and schedules while conducting analyses.
  • Provide training, guidance and mentoring to internal and external stakeholders

Knowledge and Skill Requirements

  • 5+ years’ working for a health insurer or healthcare related organization, including consulting or technology companies with responsibility for statistical analysis of large healthcare datasets.
  • Strong experience with SAS and SQL.
  • Experience with large databases.
  • Knowledge in advanced statistical modeling and validation methodologies, including, but not limited to, predictive modeling and heavy-tailed distribution modeling.
  • Knowledge of medical claims data, including, but not limited to, professional claims, outpatient claims, inpatient claims, specialty pharmacy and pharmaceutical claims.
  • A working knowledge of healthcare coding (CPT, HCPCS, ICD, revenue codes, DRG).
  • Familiarity with healthcare fee schedules, including, but not limited to Medicare, Workers’ Compensation and Medicaid.
  • Expert presentation skills; comfortable with working with executive-level personnel both inside and outside the organization. Strong presentation skills to support presentation of technical material and concepts to senior managers and non-technical audiences.
  • Knowledge of business intelligence toolsets, such as Tableau, Qlikview, SAS JMP, Oracle Business Objects, etc.
  • Strong interpersonal skills, including the ability to work in a highly cross-functional, multi-location organization.
  • Excellent written and verbal communication skills.
  • Expert ability with MS Excel, PowerPoint and Word.
  • Ability to proactively engage in all aspects of project definition through implementation, problem assessment through resolution and reporting for presentation, focusing on both big picture and specific project detail
  • Excellent written and verbal communication skills.

Location: Remote or a possibility to work from our New York City office post pandemic

Interested candidates should submit their resume to resumes@fairhealth.org. Please include “Senior Statistical Healthcare Data Analyst” and your last name in the subject line.

FAIR Health, Inc. is an equal opportunity employer and an e-verify participant.