Senior Data Quality Analyst responsible for ensuring accuracy and consistency of business data in a global organization. Collaborating with technical and business teams to implement data quality frameworks and standards.
Responsibilities
Lead and execute data quality initiatives across assigned business areas, ensuring alignment with organizational goals and data governance standards.
Analyze and monitor data quality by profiling datasets, identifying anomalies, and implementing remediation strategies.
Develop and maintain Key Performance Indicators (KPIs) to track and report on data quality performance.
Create and execute action plans to resolve data quality issues and strengthen overall governance frameworks.
Define, maintain, and improve data quality rules in collaboration with IT, business owners, and data stewards.
Identify, evaluate, and mitigate data quality risks, escalating critical issues when required.
Support the Data Governance Council by providing insights, reporting, and recommendations for process improvements.
Partner with business and IT teams to promote consistent data management practices and standards.
Guide and coach business teams in effective data collection, validation, and integration processes.
Perform detailed data and systems analysis to support governance and transformation initiatives.
Prepare and present findings, reports, and dashboards to stakeholders and senior leadership.
Requirements
Bachelor’s or university degree in Statistics, Information Systems, or a related field (or equivalent experience)
Proven experience in data quality management, data governance, or data analytics in a complex or global organization
Experience with Tableau or Power BI — ability to design, build, and interpret dashboards and data visualizations is essential
Working knowledge of SQL and Snowflake is a plus
Hands-on experience with data profiling, cleansing, validation, and metadata management tools
Ability to define and monitor KPIs and apply scalable standards for long-term data integrity
Excellent analytical and problem-solving skills with a strategic and detail-oriented mindset
Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences
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