CH10 - BJB Bank Julius Baer & Co. Ltd.
Data Quality Specialist(m/w/x)
Full-timeOn-siteExperienced
Zürich
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SUSunrise GmbH
Data Quality and Control Analyst(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Defining and implementing automated tests for Finance data within DataOps CI/CD. Strong SQL skills for profiling and reconciliation logic essential. Work with advanced AI and agentic technologies.
Requirements
- Bachelor’s/Master’s degree in Data/Computer Science, Engineering, Information Systems, Finance/Accounting or similar
- 4-8+ years experience in data quality, data governance, controls, reconciliation, finance reporting, or close-critical analytics environments
- Strong SQL skills (profiling, reconciliation logic, variance analysis)
- Ability to work confidently with large transactional and dimensional datasets
- Automation mindset
- Hands-on experience with Python or similar
- Experience with data testing frameworks
- Working knowledge of modern data platforms (lakehouse/warehouse concepts, orchestration, CI/CD/DataOps, monitoring/alerting)
- Understanding of production-grade concepts (SLOs, runbooks, incident response)
- Understanding of Finance processes and data flows (GL, revenue, billing, cost allocation)
- Exposure to SAP S/4 and/or Finance reporting stacks (BW, Group Reporting) (advantage)
- Familiarity with governance, security, access patterns for Finance-grade controls (RBAC, SoD, masking, audit logs)
- Strong documentation discipline
- Excellent analytical skills
- Excellent communication skills
- Excellent stakeholder-management skills
- Ability to explain issues, materiality, remediation options to Finance/engineering audiences
- Business-fluent English
- German language skills (advantage)
Tasks
- Define the Finance data quality framework
- Maintain the Finance data quality framework
- Design automated data quality tests
- Implement automated data quality tests
- Embed validation gates into DataOps CI/CD
- Build automated Finance reconciliations and tie-outs
- Operate automated Finance reconciliations and tie-outs
- Monitor and alert on Finance data products
- Monitor and alert on Finance reporting services
- Maintain runbooks and escalation paths
- Manage data exceptions end-to-end
- Reduce recurring data quality breaks
- Maintain audit evidence packages
- Support month-end and quarter-end close
- Produce close dashboards and exception packs
- Manage freeze windows for KPI versions
- Coordinate sign-off with Finance stakeholders
- Ensure data governance and auditability
- Support audit and control testing requests
- Collaborate with engineers and Finance SMEs
- Define data contracts (SLAs/SLOs)
- Improve upstream data quality
- Standardize KPI inputs and definitions
- Drive continuous improvement and standardization
- Create reusable control templates and patterns
- Document data quality best practices
- Coach team members on Finance controls
- Coach team members on quality-by-design
Work Experience
- 4 - 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- SQL
- Python
- data testing frameworks
- CI/CD
- DataOps
- SAP S/4
- BW
- Group Reporting
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sunrise GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SUSunrise GmbH
Data Quality and Control Analyst(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Defining and implementing automated tests for Finance data within DataOps CI/CD. Strong SQL skills for profiling and reconciliation logic essential. Work with advanced AI and agentic technologies.
Requirements
- Bachelor’s/Master’s degree in Data/Computer Science, Engineering, Information Systems, Finance/Accounting or similar
- 4-8+ years experience in data quality, data governance, controls, reconciliation, finance reporting, or close-critical analytics environments
- Strong SQL skills (profiling, reconciliation logic, variance analysis)
- Ability to work confidently with large transactional and dimensional datasets
- Automation mindset
- Hands-on experience with Python or similar
- Experience with data testing frameworks
- Working knowledge of modern data platforms (lakehouse/warehouse concepts, orchestration, CI/CD/DataOps, monitoring/alerting)
- Understanding of production-grade concepts (SLOs, runbooks, incident response)
- Understanding of Finance processes and data flows (GL, revenue, billing, cost allocation)
- Exposure to SAP S/4 and/or Finance reporting stacks (BW, Group Reporting) (advantage)
- Familiarity with governance, security, access patterns for Finance-grade controls (RBAC, SoD, masking, audit logs)
- Strong documentation discipline
- Excellent analytical skills
- Excellent communication skills
- Excellent stakeholder-management skills
- Ability to explain issues, materiality, remediation options to Finance/engineering audiences
- Business-fluent English
- German language skills (advantage)
Tasks
- Define the Finance data quality framework
- Maintain the Finance data quality framework
- Design automated data quality tests
- Implement automated data quality tests
- Embed validation gates into DataOps CI/CD
- Build automated Finance reconciliations and tie-outs
- Operate automated Finance reconciliations and tie-outs
- Monitor and alert on Finance data products
- Monitor and alert on Finance reporting services
- Maintain runbooks and escalation paths
- Manage data exceptions end-to-end
- Reduce recurring data quality breaks
- Maintain audit evidence packages
- Support month-end and quarter-end close
- Produce close dashboards and exception packs
- Manage freeze windows for KPI versions
- Coordinate sign-off with Finance stakeholders
- Ensure data governance and auditability
- Support audit and control testing requests
- Collaborate with engineers and Finance SMEs
- Define data contracts (SLAs/SLOs)
- Improve upstream data quality
- Standardize KPI inputs and definitions
- Drive continuous improvement and standardization
- Create reusable control templates and patterns
- Document data quality best practices
- Coach team members on Finance controls
- Coach team members on quality-by-design
Work Experience
- 4 - 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- SQL
- Python
- data testing frameworks
- CI/CD
- DataOps
- SAP S/4
- BW
- Group Reporting
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sunrise GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Sunrise GmbH
Industry
IT
Description
Das Unternehmen bietet eine moderne Ausbildung in der Plattformentwicklung und fördert Innovation in der IT-Branche.
Not a perfect match?
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