Data Quality Consultant

For one of our fastest growing practices we are looking for a Data Quality Consultant. 

Do you have 3 to 5 years of experience of which at least 2 to 3 years in the field of data analysis and/or data quality? And the prospect of helping to grow a company that believes in together creating an impact with Data at our customers sounds good? 

Then we are delighted to receive your personal application and we’ll contact you for an interview and a (virtual) cup of coffee.

• Support clients in the execution of activities of the data quality cycle: data analysis, data quality assessment, impact assessment, etc. Allowing them to independently monitor, prevent and remediate emerging critical data quality issues.
• Evaluate data from data sources to identify and interpret trends. Identify data quality issues, determine business impact, find out the root cause, collaborate to resolve, and make recommendations for long-term solutions.
• Gather data from data sources to identify and interpret trends, optimize its efficiency and quality by analyzing and cleansing it, as well as resolving data quality issues.
• Run data queries to identify coding issues and data exceptions.
• Support clients in their journey towards becoming data-driven by bridging the gap between business and technology and advising them on best practices, tooling, implementation processes, ...
• Implement data quality principles, processes, and standards and embed them into the clients’ daily operating rhythm to improve trust in both business and technical data domains.
• Collaborate with business and database/application developers to improve processes, system- and database designs.

• Follow-up on the latest developments and trends in data quality analysis and tooling.

   

• Bachelor’s or master’s degree in a relevant field (engineering, IT, information management, etc.) or equivalent in experience.
• 2 to 5 years of experience in consulting or service-oriented environments, and at least 2 years of experience in data analysis.
• Experience with data quality tooling e.g., Collibra DQ, Soda, Great Expectations, Informatica CDQ, etc..
• Knowledge of data landscapes within an organization, understanding of end-to-end data flows (source to consumer), data architecture, and data engineering / -science principles.
• Affinity with use cases such as Business Glossary, Data Catalog, Data Lineage or Reporting Governance is a plus.
• Proven success in contributing to a team-oriented environment.
• Excellent leadership, communication (written and oral) and interpersonal skills.
• Fluent in Dutch and/or French and English.

• Advanced analytical and problem-solving skills.
• Proficiency in SQL supplemented with at least one other scripting language (e.g., Python, Groovy, R, etc.)
• Experience with Data Quality tooling.

• Experience with data governance solutions (Collibra, Datahub, Purview, etc.) is a plus.