Hybrid Data Quality Analyst

at Infotree Global Solutions

• Job title: Data Quality Analyst
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: SQL, Tableau
• Location requirements: Hybrid, Brussels, Belgium

About the role

• 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

Benefits

• Opportunities for career progression
• Professional development
• Global collaboration