Job Posting for Data Integrations Analyst at HealthVerity
How you will help
You’ll be embarking on a hands-on role, from ingestion up to making all data available in the warehouse layer, in standardized form, and ready to use. You’ll investigate and map the data, assess data quality, and QA the transformed results. You’ll reinforce data architecture standards, and data warehouse policies and procedures, ensuring that clients receive the highest quality data. You’ll use the best tools for the job, whether modern and revolutionary or time tested and proven, to deliver elegant, scalable solutions that meet business and technical needs. Your team will support you and you the same. Peer review of solutions and implementations is expected. You will play an integral part in building the foundation of everything to come.
What you will do
Provide expertise on all healthcare data types: medical claims transactions (e.g. 837 and 835), pharmacy claims (NCPDP D.0), EMR/EHR, lab transactions, and other emerging data assets
Ensure high-quality design of dimensional models and data mapping
Sharing data content and industry knowledge to mentor team members
Provide strategic guidance with respect to MDM best practices
Data profiling and integration
Explore, profile, and validate incoming healthcare data extensively, using SQL
Map de-identified healthcare data to proprietary data structures
Collaborate on the development of QA test plans for incoming data and data in our warehouse
Perform troubleshooting on all ETL processes and resolve issues effectively
Expand and reinforce company standards in terms of nomenclature, storage, design and deployment
Provide support to all data warehouse initiatives
How success will be defined
Ability to write advanced SQL to standardize and enhance data assets
Subject matter expert for medical claims, pharmacy data, and lab data
Ability to master healthcare IT standards and healthcare data
Proactive and take the initiative to implement improvements
Data driven, testing and measuring when required
Required skills and experience
7 years of experience with EHR, medical claims, pharmacy data
15 years of experience in data warehousing
10 years of hands-on SQL
7 years of data modeling and/or building and modifying tables in an RDBMS environment
5 years of mapping source data to target tables
Bonus: Lab data, medical device data, genomic data
Desired skills and experience
Understanding of healthcare IT standards and data structures such as ANSI 837/835, NCPDP D.0, HL7, and optionally HL7 CCR/CCD or FHIR
Hive, Spark SQL, Python
Base salary for the role is commensurate with experience and can range between $70,000 - 190,000 annual bonus opportunity.
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