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Senior Data Operations Analyst – Health Data Terminology

Senior Data Operations Analyst – Health Data Terminology

CompanyVeeva Systems
LocationBoston, MA, USA
Salary$80000 – $145000
TypeFull-Time
Degrees
Experience LevelSenior

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