Data Quality Assurance Specialist

• 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., * A highly entrepreneurial team where initiatives are highly valued and room is given to grow;
• A no-nonsense working environment where you will have a direct impact and deliver meaningful results (whilst having a lot of fun);
• Excellent terms of employment;
• Joining a fast growing company means growing together with it: learn new skills, take a variety of responsibilities and opportunities that continuously present themselves
• Fringe benefits including continuous training that builds and extends professional, technical and management skills in all areas;
• The opportunity to grow together with Datashift in terms of capabilities as well as financial benefits.

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?, * 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.

Skillset

• 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.