Data Quality Officer
Role details
Job location
Tech stack
Job 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.
Requirements
- 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
Benefits & conditions
You will become part of a people-oriented company where your well-being really matters. Flexible working hours, work from home possibilities, 20 days holiday and 12 WTR days within a 40-hour week. At our headquarters you will also discover our TVH Park, a green area where you can move around and have the possibility to relax, meet or have lunch. Furthermore, we also offer:
- An attractive salary package with extra-legal benefits such as company car, group and hospitalization insurance, luncheon vouchers, corporate restaurant, ...
- An exciting position in an international company with a family atmosphere where people are at the center.
- You are part of a dynamic entrepreneurial team that is fast-growing and at the center of the transformation.
- You arrive in an innovative, progressive and technological environment.
- Numerous opportunities for personal development, among other things through permanent guidance and professional (internal/external) training courses.
- Fun afterworks and other optional events (e.g. TVH Kaffee).