What are the responsibilities and job description for the Data Management Consultant position at Pierce Technology Corp?
• 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
• 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)
