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Senior Data Operations Analyst – Health Data Terminology
Company | Veeva Systems |
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Location | Boston, MA, USA |
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Salary | $80000 – $145000 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Senior |
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Requirements
- 5+ years of data management/analysis experience including extensive knowledge of database schemas, data dictionaries, field mappings and data flows
- Experience working with MDM systems in a design or administrator capacity
- Experience onboarding and ingesting data sources, and the work involved, such as data profiling, understanding the metadata needed, data validation, and quality control
- Experience designing and documenting master data management processes, including data definitions, attributes, structures, and flows between systems
- Proficient in data modeling with an understanding of different data modeling techniques such as dimensional modeling and Entity-relationship modeling
- Experience working with health terminology reference data such as ICD, CPT/HCPCS, NDC, or Payer
- SQL skills
Responsibilities
- Implement MDM strategies, policies, and standards to govern the creation, maintenance, and distribution of master data within Compass
- Understand our health data domains deeply to implement data quality metrics and monitoring to ensure quality and reliable data is delivered to our data products
- Conduct analytics on data sets to identify, design, and implement data quality improvements
- Design and document data dictionaries, hierarchies, classifications, definitions, attributes, sources, and mappings between sources and Compass products
- Partner with Compass Product Managers and Engineers to focus on delivering quality data through processes that are automated, accurate, and reliable
- Support projects to onboard new data sources and improve existing data domains, as well as maintain some standing data operational activities to keep health data domains up-to-date
Preferred Qualifications
- Advanced Excel (XLOOKUPs, Pivot Tables, Etc.)
- Experience working in Veeva Network
- Experience working in AWS
- Experience in the Life Sciences industry