QualityManager

At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team. Are you ready to join us? Responsibilities - You will lead data quality projects end to end, from planning and prioritization to tracking timelines, risks, and deliverables. - You will coordinate and align with stakeholders (data engineers, analysts, and data owners) to clarify requirements, manage expectations, and communicate progress and outcomes. - You will design and refine data quality measures and KPIs, translate business requirements into concrete quality checks, and ensure their implementation in collaboration with our Quality Engineers, as well as colleagues from other teams. - You will write and review database queries to explore data issues, validate quality measures, and support root-cause analyses. - You will build and maintain Power BI dashboards to monitor and communicate data quality performance across the organization for our quality tracking projects. Requirements - You are proficient in project management (inc. JIRA, Confluence documentation, PowerPoint) and well-versed in data visualizations, using Power BI or similar tools. - You are confident working with SQL (incl. basic queries with SELECT, JOINs) and have hands-on experience with Python (incl.