Key Skills

Job Description

We are seeking a Data Quality Specialist to join our Business Data Team. In this role, you will be responsible for ensuring trusted, high‑quality data for reporting and decision‑making across the organization, combining hands‑on data quality analysis with the implementation of data governance practices. You will work closely with business stakeholders and Data Engineering to translate data needs into structured, sustainable improvements. This position offers the opportunity to act as a key link between business and data functions in a regulated, data‑driven environment. What You Can Expect A hands‑on role focused on ensuring data quality and trust across key business domains, including data profiling, validation, controls, and trend monitoring Responsibility for investigating and resolving data inconsistencies across multiple systems, with a strong focus on root cause analysis and sustainable remediation Close collaboration with business and technical stakeholders, acting as a bridge to translate requirements into structured data quality rules and improvements Active involvement in shaping and implementing data governance practices, including data ownership, stewardship, and control frameworks Ownership of metadata management and documentation, including business definitions, data lineage, and governance records Contribution to data quality transparency through KPI monitoring, reporting, and identification of recurring issues and trends A role in driving awareness and adoption of data governance principles across the organization The opportunity to continuously identify improvement areas and implement preventive solutions that enhance efficiency and reliability of data processes What We Expect Strong experience in data analysis, validation, and reconciliation using tools such as SQL, Excel, Power BI, or comparable analytical platforms Proven ability to independently investigate, diagnose, and resolve data quality issues and inconsistencies across multiple systems and data flows Solid understanding of data governance, data quality management, metadata, and data ownership concepts, with the ability to apply them in practice Ability to act as a bridge between business and technical teams, translating business requirements into structured and sustainable data improvements High accuracy, attention to detail, and a structured, methodical approach to problem‑solving Strong communication skills and fluency in English, sufficient for documentation, stakeholder discussions, and cross‑functional collaboration Experience working in regulated environments, ideally within insurance, reinsurance, finance, or similarly complex industries Knowledge of SAP data flows (e.g. SAP FS‑RI / RI, FI, claims), modern data platforms (MS SQL, Databricks, Fabric), data governance or catalog tools (such as Dawiso, Collibra, or Alation), and familiarity with IFRS 17, Solvency II, or DAMA‑DMBOK concepts is considered a strong plus. What We Offer Opportunity to become a key contributor in the company’s data transformation and governance journey. Meaningful role combining analytical problem-solving with strategic data improvement. Close collaboration with experts across business, reporting, and Data Engineering domains. Exposure to modern tools and platforms (Dawiso, Databricks, Power BI, Fabric). Clear career path towards Data Governance Specialist, Data Quality Specialist, Data Steward, or Data Governance Officer roles. Support for professional development through training, certification, and hands-on learning.

Core Responsibilities

Analyze, monitor, and improve data quality across business domains by profiling data, investigating inconsistencies, identifying root causes, and implementing sustainable controls and remediation. Support data governance through metadata and documentation ownership, KPI reporting, stakeholder collaboration, and promotion of governance practices.

Requirements

Candidates should have strong experience in data analysis, validation, and reconciliation, along with practical knowledge of data quality, governance, metadata, and data ownership. They should be detail-oriented communicators who can independently resolve cross-system data issues and work effectively with business and technical teams; experience in regulated industries is preferred.

Benefits

• Professional Development
• Training
• Certification Support