Data Issue & Data Quality Specialist

Náplň práce, právomoci a zodpovednosti:
Are you passionate about data governance and improving data quality? Join our dedicated teamand help strengthen the foundation of data excellence across Swiss Re. In our data-drivenenvironment, this role plays a key part in supporting high-quality data assets through structuredgovernance, effective issue management, and consistent data quality controls.

About the Role
As a Data Issue & Data Quality Specialist, you will support the implementation and operation of Swiss Re’s data governance and data quality frameworks. Working at the intersection of business and technology, you will help identify, track, and resolve data quality issues, and contribute to the development and monitoring of meaningful data quality indicators across the organization. This role offers hands-on exposure to enterprise-wide data governance practices and is well suited foran early-career professional looking to grow in the data management and data quality domain.

Key Responsibilities:
• Support framework implementation - Assist in maintaining the central data issuemanagement framework and solutions to meet stakeholder requirements
• Perform quality checks - Execute data quality control processes and help monitor dataquality across systems
• Track KPIs - Collect and analyze data for our Data Quality KPI framework to help measureand improve data quality standards
• Influence tooling direction - Help define and influence the direction of SwissRe group datagovernance tools to track data issues, analyze patterns, and document solutions
• Collaborate across teams - Work with Tech and Business stakeholders to implement dataquality standards and resolve data issues
• Promote best practices - Help foster a culture of data quality through documentation,training materials, and day-to-day support

About the Team
Our department, part of Group Data Services, is committed to strengthening data and AIgovernance practices across Swiss Re. We are the global focus point of data governance,operating from Zurich, Bratislava, and Bangalore, focusing on meeting regulatory requirementsand enhancing data issue management and quality control.

Zamestnanecké výhody, benefity:
You can look forward to extra rewards and benefits including:
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Pension & risk insurance contribution
- Sick days and sick leave support
- Public transport benefit
- Multisport card

Informácie o výberovom konaní:
We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

Požiadavky na zamestnanca:
You have a foundational understanding of IT systems and data concepts, and you are comfortable bridging technical topics with business needs. You are detail-oriented and analytical,with an interest in identifying and solving data-related problems. You enjoy working collaboratively with others and communicate clearly with both technical and non-technical stakeholders. You are motivated to learn and develop your expertise in data governance, data quality, and data issue management.

We are looking for candidates who meet these requirements:
• Bachelor's degree in Computer Science, Information Systems, Data Science, or related field
• Previous experience working with data management, data quality, or related areas
• Understanding of data quality concepts and methodologies
• Experience with data analysis tools and techniques
• Good communication skills with the ability to explain technical concepts to non-technical stakeholder
• Knowledge of SQL or other data query languages
These are additional nice to haves:
• Familiarity with data governance frameworks
• Experience with data visualization tools
• Understanding of financial or insurance industry data
• Knowledge of regulatory requirements related to data management