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Data Analyst - Remote / Telecommute

Remote, USA Full-time Posted 2026-06-17

Job Description: Pay Range: $50hr - $54hr

  • Engage with various teams to understand data uses and associated quality requirements.
  • Understand data sourcing and delivery designs and how those support data lineage and veracity.
  • Review data model, metadata, for data sourcing and governance, applying quality management.
  • bility to manage diverse projects impacting multiple roles and processes.
  • Candidate should be able to troubleshoot problem areas and identify data gaps and issues.
  • bility to adapt to fast changing environment.
  • Familiarity with Enterprise Governance concepts and practices
  • Experience understanding data models.
  • Strong organizational skills and ability to effectively prioritize multiple tasks.
  • Presentation skills in demonstrating reporting and data analysis.
  • Familiar with agile project delivery process.
  • Familiarity with Enterprise Catalogs such as Alation, Collibra or similar.
  • Work with data partners to gain required governance insights and data quality requirements.
  • Complete in-depth data analysis and contribution to strategic efforts.
  • Provide subject matter expertise on the data needs for project deliveries, scope, acceptance, installation and deployment.
  • Design and develop dashboards and reports to visualize analysis results using BI tools for internal governance team use.
  • Contribute to the design, development and completion of project deliverables.
  • Hands-on experience with data governance, data quality, and associated issue root cause analysis and remediation processes.
  • Support Enterprise Accountability Model operations through the partnership with various stakeholders across business functions.
  • Facilitate value led growth of Data Stewardship Community with catalog and self-service tool trainings, communication and engagement, and analytical reporting.
  • Bachelor's degree or equivalent.
  • 4+ years of professional data analysis working with business data initiatives.
  • Hands-on expertise with SQL for use in data access, Client, reporting and analysis.
  • Hands-on experience with Data Warehousing solutions.
  • Familiarity with Enterprise Catalogs such as Alation, Collibra or similar.
  • Familiarity with Tableau, MicroStrategy or similar.
  • Familiarity with Data Governance, AI Governance.
  • Familiarity with data mapping documents and specifications.
  • s a data analyst that supports the Data Governance program candidate would be required to have an understanding of data modelling, software architecture and data structures.

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