Data Management Consultant

apartmentPierce Technology Corp placeJersey City calendar_month 
Collaborate with stakeholders to understand data needs/challenges and translate into business requirements for strategic solutions
  • Support the process for sourcing external data ensuring adherence to data onboarding requirements
  • Perform data profiling, define data quality rules and validations, and conduct root cause analyses for identified data quality incidents and/or threshold breaches
  • Enhance the problem management process to identify, review, remediate and escalate data quality incidents to impacted stakeholders
  • Create dashboards and visualizations using business intelligence tools that are comprehensive and scalable to monitor data health
  • Identify critical data elements and define requirements to be considered as part of operational prioritization and planning
  • Define, implement and maintain metadata and reference data standards and best practices to support data governance
  • Enhance metadata management processes and repositories to ensure the accuracy and completeness of metadata documentation
  • Partner with product and technology teams to develop conceptual and logical data models and document data flows
  • Support strategic initiatives related to data warehousing and data lake implementation
Requirements
  • Experience in data governance and data management domains such as data quality, reference data management, metadata management, etc.
  • Strong understanding of data governance principles and data quality management concepts and best practices
  • Experience with data quality programs and data profiling, data cleansing and data remediation techniques
  • Experience collaborating with cross-functional teams and supporting strategic / business transformation projects
  • Proficient with analytics, business intelligence and reporting packages such as Alteryx, Tableau, Qlik, UI Path or ThoughtSpot
  • Proficient with data extraction, data mapping, conversion, analytics, and manipulation techniques / languages (e.g. SQL, R, Python)
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