> Markdown version of [/jobs/ext/1908031-data-quality-officer](https://www.wearedevelopers.com/jobs/ext/1908031-data-quality-officer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Quality officer - **Company:** Tvh - **Location:** Waregem, Belgium (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Profiling, Information Systems, Data Cleansing, Data Governance, Data Integrity, Data Profiling, Data Sharing, Data Visualization, Meta-Data Management, SQL Databases, Tableau (Software), Scripting, Information Technology, Data Lineage, Data Management - **Published:** August 4, 2026 - **Apply:** https://tvh.wd3.myworkdayjobs.com/en-US/JobsatTVH/job/Waregem/Data-Quality-Officer_JR106333/apply/autofillWithResume ## About the Role * Boundary Spanner: The ability to bring different perspectives (business & information, technical & non-technical) into one insightful, overarching analysis. * Influencer & Storyteller: Exceptional skills in translating complex analytics into clear narratives, with the courage to be a data provocateur when challenging existing norms. * Collaborator: A strong team player committed to fostering cross-functional collaboration to achieve shared data goals. * Mindset: You are open-minded, creative, and persistent, with a core focus on bringing transparency and awareness to our data foundation., * Bachelor's or Master's degree (or equivalent by experience) in Information Systems, Computer Science, Statistics, or a related field. * Proven experience (3+ years) as a Data Quality Analyst, Data Governance Analyst, Data Steward, or in a similar role focused on data integrity and management. * Essential: Strong proficiency in SQL for data querying, profiling, and complex analysis is non-negotiable. * Hands-on experience with data quality tools and data profiling techniques is a plus. * Experience with data visualization tools (e.g.,Tableau) for creating dashboards and reports. * A highly analytical and problem-solving mindset with meticulous attention to detail. * Strong communication skills, with the ability to explain complex data issues to both technical and non-technical audiences. * Fluent in English. Preferred Skills * A solid understanding of data governance principles (Master Data Management, Data Lineage, Metadata Management). * Experience with a scripting language like Python for data analysis is a plus. * You are a team player and help fostering cross-functional collaboration ## Description As a Data Quality officer, you will be a key enabler focused on maximizing the value and trustworthiness of our most critical asset: our data. You will act as a proactive partner, collaborating closely with business and technical teams. A critical part of your function will be to bring diverse perspectives-from the data creator to the data customer, and from the business profile to the technical expert-into insightful, overarching analysis. Your mission is to not only resolve issues but to nurture a proactive prevention mindset across the organization. You will translate business needs into formal data quality policies, rules, and governance standards. You'll perform deep-dive root cause analysis and then storyline the analytics to stakeholders, bringing transparency and awareness into our relevant data and acting as a data provocateur when necessary to drive excellence. By feeding discussions with compelling insights, you will nurture decisions toward robust data quality standards., Insight Generation & Data Profiling: * Perform deep-dive root cause analysis to understand the drivers of poor data quality, whether they are systemic, process-related, or human error. * Document findings and quantify the business impact of data quality issues, effectively storylining the analysis to support prioritization and remediation efforts. * Conduct thorough data profiling on critical datasets to identify anomalies, inconsistencies, and redundancies. Stakeholder Collaboration & Standard Setting: * Foster cross-functional collaboration by working closely with Data Stewards, business owners, and IT to define, document, and enforce clear data quality rules, standards, and metrics. * Translate business rules into technical specifications that can be used to implement automated data quality checks in our systems. * Act as a key liaison between technical and non-technical teams, ensuring a shared understanding of data quality principles and their impact. Monitoring & Reporting: * Develop and maintain data quality dashboards and reports to provide ongoing visibility into the health of our data assets. * Monitor data quality KPIs over time and report findings to leadership, bringing transparency and awareness to the state of our data. * Nurture decisions and drive change by consistently feeding discussions with data quality insights. Remediation & Continuous Improvement: * Work with IT and Data Management teams to define requirements for data cleansing and correction activities. * Support business teams in improving data creation and maintenance processes at the source to instill a proactive prevention mindset., The Data Steward acts as a guardian and champion of data quality and as a key implementer of the data governance principles within an assigned domain (e.g., Customer, Product, Finance) or sub domain... ## Related Videos - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [JavaScript? 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