Freelance Data Quality Analyst
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- Investigate the root causes of data quality issues across the application landscape.
- Document findings and quantify the business impact of data quality issues and cleansing activities.
- Translate findings into practical improvement plans in close collaboration with business stakeholders.
- Analyse relevant datasets to address specific business questions and operational challenges.
- Profile critical datasets to identify anomalies, inconsistencies and redundancies.
- Develop tools to automate data quality checks across the applications involved in the transformation.
- Align Data Stewards, business owners and IT leaders around clear data quality rules, standards and measurable metrics.
- Build dashboards and reports that provide ongoing visibility into data quality.
- Help business teams improve data creation and maintenance processes at the source, encouraging a proactive approach to preventing issues.
- Support stakeholders in developing the knowledge and skills needed to manage and improve data quality. Key Capabilities
- Analytical thinking: You can investigate complex datasets, identify underlying issues and translate findings into meaningful insights.
- Continuous improvement: You are curious, persistent and proactive in identifying opportunities to improve data practices.
- Stakeholder management: You build strong relationships across business and IT and communicate actionable insights to audiences with varying levels of data expertise. Qualifications & Experience
- A master’s degree in Applied Computer Science, Business Engineering or Data Science.
- At least three years of proven experience as a Data Analyst.
- Hands-on experience with SAP MM and SD is essential, alongside experience with SAP EWM.
- A solid understanding of data governance principles.
- Strong proficiency in SQL for querying and analysing data.
- Experience with data visualisation tools, such as Power BI, to create dashboards and reports.
- Experience with Python or similar data analysis tools is an advantage.
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