Job details
Job type full-time
Full job description
Fair health, inc., an independent nonprofit organization, was established in october 2009 with the mission to help ensure fairness and transparency in health insurance informationFair health has created a database of over 33 billion de-identified private healthcare claims?the largest in the country?which receives claims monthly and which serves as the foundation for a variety of data products, custom analytics and consumer toolsFair health has also been certified by cms as a ?qualified entity? and thus holds the entire collection of medicare parts a, b and d claims from 2013 to the present which get routinely refreshed.
Our standard data modules, custom analytics, and technological tools serve all participants in the healthcare sector nationwide; they are licensed to payors, third-party administrators, bill review companies, self-insured employers, government agencies, academic researchers, and consultantsOur medical and dental data are used to inform statutes and regulations, healthcare cost indices, fee schedules, benefit and provider network design, practice/facility expansion, health systems research, and dispute resolution among, other usesWe also offer a suite of consumer-oriented tools and resources available on our consumer website (fairhealthconsumer.org), as well as mobile applications which can be licensed by other organizations.
Summary of position
The healthcare data analyst will be responsible for a variety of data analysis, evaluation and reporting solutionsThis individual will support the innovation, enhancement, and development of analyses of underlying claims data and product methodologiesThis includes the design and development of related solutions to accomplish these tasks.
The role will also translate internal business needs into data driven deliverables and products with responsibility for the creation of sql queries and sas programs necessary to meet those needsWorking with other analysts and business representatives, this individual will also be able to report and present results and findings to various levels of the organization.
The successful candidate will have an understanding of healthcare claims data and a working knowledge of healthcare coding concepts (icd, hcpcs, 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 informationThis 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 sql to query, merge and analyze large datasets
Evaluate analyses to derive informative and 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.
Evaluate and establish validity of fair health data product information to ensure accuracy and completeness of all reporting results.
Work with database technologies, such as oracle and statistical analytical toolsets such as sas to evaluate datasets and produce analytic result sets, including graphical representations of the data.
Utilize healthcare data knowledge to help to craft data analyses to support client analyses and internal products.
Investigate and resolve issues independently related to fair health data products.
Location: remote or a possibility to work from our new york city office post pandemic
Fair health, incIs an equal opportunity employer and an e-verify participant.
Knowledge and skill requirements
Required skills
Masters in public health, statistics, or related field, or equivalent work experience.
Strong experience with sql and sas.
Experience working with large databases.
Strong presentation skills to support presentation of technical material and concepts to senior managers and non-technical audiences
Comfortable with working with various levels of an organization.
Strong interpersonal skills, including the ability to work in a highly cross-functional, multi-location organization.
Highly proficient 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.
Ability to self-manage and appropriately govern multiple projects on a day to day basis.
Preferred skills
2+ years’ working for a health insurer or healthcare related organization, including consulting or technology companies with responsibility for analysis of large healthcare datasets.
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.
Knowledge of business intelligence toolsets, such as tableau
