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Senior Data Analyst

Summary

Drive enterprise data quality and governance by implementing frameworks, monitoring KPIs, and automating reporting with Python and Power BI to ensure accurate, reliable data across the organization.

What You'll Be Doing

As a Data Quality & Governance Specialist, you'll play a key role in driving enterprise-wide data quality initiatives and promoting a strong data governance culture.

Drive Data Quality Excellence

  • Ensure the implementation and continuous improvement of the organization's Data Quality framework, aligned with corporate standards, governance policies, and regulatory requirements.
  • Promote data quality best practices across multiple business and technical domains.
  • Monitor key data quality indicators and identify opportunities to improve data accuracy, completeness, consistency, and reliability.
  • Support the evolution of enterprise Data Quality methodologies and control frameworks.

🤝 Enable Data Governance

  • Partner with Data Domain Managers, Data Quality Analysts, and other stakeholders to strengthen data governance practices.
  • Coordinate and facilitate collaboration across the Data Community, ensuring alignment on priorities, standards, and governance objectives.
  • Support the rollout of new versions of Data Control Catalogs, business glossaries, and enterprise data nomenclatures.
  • Contribute to the continuous evolution of governance processes and operational standards.

Analyze & Improve Data

  • Lead investigations into structural data quality issues and coordinate remediation initiatives across multiple domains.
  • Perform impact assessments related to new projects, regulatory changes, and transformation initiatives to ensure data quality remains protected.
  • Conduct ad-hoc analyses to identify root causes, assess risks, and recommend sustainable improvements.
  • Monitor remediation plans and track progress through defined KPIs and governance reporting.

Reporting & Decision Support

  • Develop dashboards, reports, and analytical insights using Power BI and Excel to provide visibility into data quality performance.
  • Automate analysis and reporting activities using Python, improving efficiency and reducing manual effort.
  • Present findings and recommendations to technical teams, business stakeholders, and governance committees.

Governance & Stakeholder Engagement

  • Participate in Data Governance committees and working groups, contributing to strategic discussions and continuous improvement initiatives.
  • Prepare presentations, reports, meeting materials, and governance documentation for senior stakeholders.
  • Facilitate workshops, meetings, and knowledge-sharing sessions to promote data quality awareness across the organization.

🛠️ What We're Looking For

Required Experience

✔️ Experience working in Data Quality, Data Governance, Data Management, or related analytical roles.

✔️ Strong understanding of enterprise data governance principles and data quality frameworks.

✔️ Experience defining, monitoring, and improving Data Quality KPIs and remediation plans.

✔️ Ability to coordinate cross-functional initiatives involving both business and technical stakeholders.

✔️ Strong analytical mindset with the ability to transform complex data into actionable insights.

Technical Skills

Data & Analytics

  • Data Quality Management
  • Data Governance
  • Data Analysis
  • Data Assessment
  • Data Controls
  • Metadata Management
  • Data Quality KPIs
  • Root Cause Analysis

Tools

  • Microsoft Excel (Advanced)
  • Python
  • Power BI

Nice to Have

  • Experience with Data Catalogs or Metadata Management platforms.
  • Familiarity with enterprise Data Governance frameworks.
  • Understanding of data lifecycle management and regulatory compliance.
  • Experience in financial services or operational data environments.


See also