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.

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

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 + annual bonus opportunity.

• 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