Overview
Guide stakeholders in defining and maintaining data quality requirements for critical data and reporting processes. Develop and maintain methodologies, guidelines and practical support for the design and improvement of data quality controls. Provide expert guidance on establishing data quality KPIs, thresholds and monitoring routines. Support continuous improvement of data quality issue identification, registration, analysis and resolution processes. Advise and coach Data Owners, Data Stewards and business stakeholders on effective data quality management practices. Facilitate collaboration across business, risk, finance and technology functions, promoting consistent approaches across the organisation. Promote and continuously enhance data quality practices, governance and organisational awareness.
Full job description
Description
Key responsibilities
Guide stakeholders in defining and maintaining data quality requirements for critical data and reporting processes.
Develop and maintain methodologies, guidelines and practical support for the design and improvement of data quality controls.
Provide expert guidance on establishing data quality KPIs, thresholds and monitoring routines.
Support continuous improvement of data quality issue identification, registration, analysis and resolution processes.
Advise and coach Data Owners, Data Stewards and business stakeholders on effective data quality management practices.
Facilitate collaboration across business, risk, finance and technology functions, promoting consistent approaches across the organisation.
Promote and continuously enhance data quality practices, governance and organisational awareness.
To Thrive In This Role, We Believe You Have:
Experience in financial analysis, risk analysis, regulatory reporting or a related analytical area.
Good understanding of regulatory requirements and the importance of high-quality data in financial services.
Practical experience with data quality requirements, controls, KPIs, thresholds or monitoring is highly valued.
Experience working with data quality, data governance or metadata management tools is considered an advantage (for example Valido, Collibra or similar platforms).
Strong analytical and structured thinking, with ability to translate complex business needs into clear requirements and control logic.
Ability to work with subject matter experts and challenge constructively when defining thresholds, KPIs and improvement actions.
Good communication and stakeholder management skills, with ability to connect business and technology perspectives.
Proactive, self-driven and comfortable working across teams in a complex environment.
What we offer
Dynamic environment with a friendly and welcoming culture
A flat hierarchy and openness to share ideas, opinions and points of views
Extensive training and learning opportunities
Opportunity to make a practical impact on how data quality is defined, measured and improved across the Baltic organization
High visibility in strengthening data quality practices and supporting regulatory readiness.
A role with analytical depth, practical problem-solving and strong collaboration with accountable experts and data roles.
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