Data Quality - Senior Analyst
Resumen del puesto por JobGrid
Data Quality - Senior Analyst at Davy: Dublin, Irlanda; Híbrido; Senior; Tecnología; Analytics. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Dublin, Irlanda, Híbrido
- Role classification: Tecnología, Analytics, Senior
- Source freshness: checked by JobGrid on 2026-05-28.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About us
At Davy, it’s the unique talents of all our people that have been the foundations of our success for 100 years. As we continue to grow, so do you. Because you are not just part of our team – you are a key player in shaping our future.
At Davy, you are the difference.
Established in 1926, the Davy Group sits at the heart of wealth and capital in Ireland, providing a broad range of services to high-net-worth individuals, self-directed investors, small-to-medium enterprises, credit unions, corporations, and domestic & international institutional investors.
Our culture is shaped around three values, which are at the heart of everything we do: client success, one Davy, and building a proud legacy. Sharing the same goals, we work together to deliver exceptional outcomes for our clients. As part of a team of over 900, you will be encouraged to learn and to grow, both professionally and personally.
About the role
An exciting opportunity has opened up in the Data and Analytics Team. In the role, the successful candidate will:
- The role will focus on leading data quality improvement initiatives within Davy that delivers value to the business and key stakeholders.
- Critical focus is needed on developing and embedding a data quality framework including standards, procedures, targets, root cause analysis of gaps, developing remediation plans as well as leading outcome oriented cross-functional working groups.
- Support an enterprise-wide programme to transform data practices ensuring data is trustworthy and can be used effectively to deliver stakeholder value.
- Create data quality standards and procedures in line with policies, implementing monitoring solutions to ensure organisational adherence
- Working closely with business, operations and technology, identify and lead initiatives for sustainable and measurable data quality improvements across people, process and technology
- Concisely communicate impacts, outcomes and benefits when proposing resolutions to business needs to support the prioritisation decision-making process
- Develop and produce high quality MI reporting progress and KPI’s