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Data Quality Analyst

Fellowship Recruitment
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Data Quality Analyst - Fellowship Recruitment | Career Page

Data Quality Analyst

Pfäffikon, ZH, Switzerland

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Job Openings Data Quality Analyst

About the job Data Quality Analyst

***Only applicants with a valid Swiss work permit will be considered***

Duties

  • Identify, prioritize, illustrate and fix data quality issues through data analysis and profiling.
  • Maintain & drive a master list of data quality issues, priorities, and status and keep stakeholders informed of issues as they arise.
  • Plan, execute and oversee remediation efforts via data catalog, systems, processes, and the related projects.
  • Implement data governance for respective data sets to improve data quality and availability.
  • Implement automated measures to increase the quality of data and metadata.
  • Produce training materials and traing business users.
  • Expalin complex topics to business and technical teams.
  • Produce training materials and train business users in using the data catalog & data quality tools,
  • Actively support and share knowledge across the teams.

Requirements

  • 5+ years of experience in data management, data governance.
  • Bachelor's or Master's Degree in Finance, Business, Statistics, Engineering or IT.
  • Fluency in English and German and excellent presentation skills.
  • Expertise in SQL and PowerBI is required.
  • Experience with data catalog solutions is a plus.
  • Azure, Tableau, SSRS, Python, Alteryx or KNIME expertise is a plus.
  • Business oriented, dedicated, strong organisational skills.
  • Technical knowledge of data profiling, analysis, data cleansing, de-duplication and data quality measurements.
  • Preferably Knowledge of Data Integration (ETL, Data Services) and an understanding of Private Markets.
  • Driven persronality, team player and have the ability to think outside the box and go the extra mile.
  • Analytical mindset and a problem solver.

Fellowship Recruitment is represented by APC International GmbH in Switzerland.

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Skills

  • SQL
  • Power BI
  • Azure
  • Tableau
  • SSRS
  • Python
  • ETL

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