HealthVerity
Philadelphia
51-200 employees
A transformational approach for the modern healthcare enterprise.
Reference Data Analyst
Reference Data Analyst
This job is no longer open
How you will help
You'll ensure that our clients have the highest quality of data to make their everyday decisions. As a Data Reference Analyst, it will be your responsibility to ensure that our data is mastered (MDM) and consistent with industry standards and codesets. Our team will also rely on you for your expertise and attention to detail to ensure that they are consistent with our representation of data values for analytics.
What you will do
• Analyze our data for common reference terms, you will be key to our success in presenting data for analysis to our customers
• Working with key stakeholders you will gather our reference data requirements and evaluate solutions and sources to provide them the best solutions and source of data
• Source industry standard code values and code sets
• Establish our data reference strategy and workflows
• Manage our reference data through database operations and using software mapping tools
• Provide expertise on a variety of healthcare data and codes: medical claims transactions (e.g. 837 and 835), pharmacy claims (NCPDP D.0), EMR/EHR, lab transactions, and other emerging data assets
• Knowledge of the underlying data and coding relationships: CPT, RXNORM, SNOMED, ICD-9, ICD-10, HCPCS, LOINC
• Develop workflows for identifying and categorizing new code values
• Develops and maintains trend analysis for longer term, historical quality control.
• Perform analytics against healthcare data using SQL based programming tools
You are…
• A data geek with enviable SQL skills and a passionate sense of ownership
• A self-starter who enjoys working in a small, rapidly changing, fast paced environment
• Confident enough to course correct a process or team when required
• Methodical, executing through several approaches to determine the best fit
• Energized by learning even if outside the scope of day-to-day responsibilities
• Comfortable working on several different tasks throughout your workday
Desired skills and experience
• BS degree in math, statistics, or similar experience
• 4+ years’ experience in the healthcare data industry, preferably in a consulting or analytic based environment
• Prior experience with data mastery or reference data management
• Prior experience with code system crosswalks
• Proficient in programming against large data assets with a working knowledge of SQL, preferably also knowledgeable in SAS and/or R
• Ability to gather requirements, test strategies, design deliverables
• Subject matter expertise in a wide variety of healthcare data assets
• Knowledge of the healthcare industry and analytics utilized by pharmaceutical marketing teams
• Proven analytical, evaluative, and problem-solving abilities
• Skilled teaching and instruction capability
• Extensive experience working in a team-oriented, collaborative environment
About HealthVerity
Pharmaceutical manufacturers, payers and government organizations have partnered with HealthVerity to solve some of their most complicated use cases through transformative technologies and real-world data infrastructure. The HealthVerity IPGE platform, based on the foundational elements of Identity, Privacy, Governance and Exchange, enables the discovery of RWD across the broadest healthcare data ecosystem, the building of more complete and accurate patient journeys and the ability to power best-in-class analytics and applications with flexibility and ease. Together with our partners, HealthVerity has built the modern way to data for the health insights economy. To learn more about the HealthVerity IPGE platform, visit www.healthverity.com.
Our company challenges
• Empowering clients with highly rewarding data discovery and licensing tools
• Ingesting and managing billions of healthcare records from a wide variety of partners
• Standardizing on common data models across data types
• Orchestrating an industry-leading HIPAA privacy layer
• Innovating our proprietary de-identification and data science algorithms
• Building a culture that supports rapid iteration and new possibilities
We have big plans
The infrastructure and culture we are building will provide an environment that cultivates innovation. We want to move fast knowing we can fix anything we break along the way. If a new need arises, we want to turn around a solution quickly. We want to solve our challenges in ways that create even more possibilities. We’ve created a platform that will scale to support an ever-growing array of data providers and innovative products and services. You must be able to think big while still delivering on near-term requirements.
We pride ourselves on ensuring that each team member at HealthVerity feels connected, validated and heard. From Philadelphia to Manhattan Beach, our success is driven by recognizing that a team is made up of individuals. We offer a robust set of benefits and perks to everyone. View details on our careers page.
HealthVerity is an equal opportunity employer devoted to inclusion in the workplace. We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table. Read our Equity Inclusion and Diversity Statement.
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to careers@healthverity.com
HealthVerity offers in-office and remote options, so you can work from anywhere within the US! #LI-Remote
This job is no longer open