Data Quality & Reference Data Analyst (Zurich Hybrid)

eClerx; Zürich; Hybrid; CHF 80.000 - 110.000; Vollzeit

Zusammenfassung

eClerx is seeking a Data Analyst to support a leading global financial services client. You will ensure the accuracy, integrity and governance of reference data, including Legal Entity (LEM) IDs and Industry Codes, while supporting data quality remediation initiatives across multiple business functions.

Working closely with global Operations, Technology, Change and Data teams, you will identify, investigate and resolve data quality issues, maintain documentation, monitor production processes and

Qualifikationen

• Bachelor's degree or higher in a relevant field.
• Strong analytical and problem-solving skills.
• Experience with data governance and data quality processes.
• Excellent written and verbal communication skills.

Aufgaben

• Ensure accurate population and maintenance of LEM IDs and Industry Codes.
• Develop understanding of data model; support data quality remediation.
• Collaborate with global teams to deliver client service and support.
• Monitor production processes to identify exceptions and data quality issues.
• Investigate and resolve data discrepancies across databases and systems.
• Maintain documentation of architecture, remediation methodologies, and outcomes.
• Work with Technology and Change teams on remediation strategies.
• Generate reports on data quality metrics and remediation progress.
• Support reporting and management information needs for stakeholders.
• Identify opportunities for process automation and improvement.
• Adhere to governance standards and control requirements.

Kenntnisse

Data analysis

Data governance

MS Excel

Reporting

Communication

Ausbildung

Bachelor's degree in Finance, Economics, Business, Data Analytics or related

Tools

Power BI

Tableau

Alteryx

Qlik

Jobbeschreibung

eClerx is seeking a Data Analyst to support a leading global financial services client. You will ensure the accuracy, integrity and governance of reference data, including Legal Entity (LEM) IDs and Industry Codes, while supporting data quality remediation initiatives across multiple business functions.

Working closely with global Operations, Technology, Change and Data teams, you will identify, investigate and resolve data quality issues, maintain documentation, monitor production processes and