Data Quality Analyst

Roles and responsibilities :- Gathering and documenting business requirements for data quality monitoring use cases.- Support triage, prioritisation and remediation of data quality incidents.- Support maintenance and adoption of the enterprise data catalogue.- Identify the key internal stakeholder groups and build successful working relationships to ensure a collaborative approach to triaging, prioritising and fixing data quality incidents.- Manage internal communications, ensuring all internal stakeholders are informed and consulted as appropriate on items of relevance through the lifecycle of data quality initiatives.- Understanding the existing databases and data sources across all relevant functional areas, and scoping solutions to fix data quality issues.- Create clear, concise, and comprehensive requirements documentation for data quality use cases, and data quality reports for approval by data owners and stewards.- Working closely with the Agile Technology teams (product owners, data engineers and product managers) to ensure successful delivery.- Leading, contributing and collaborating on ways to improve ways of working, identifying gaps across processes or artefacts and escalate for progression, discussion, and development.- Developing Data and AI governance standard operating procedures for data quality and data cataloguing.- Supporting data governance framework through audit, risk and compliance requests.- Measuring data quality KPIs and driving business value.- Assisting with the implementation of policies and standards across Aer Lingus.Key Requirements :- 3+ years of experience in data quality analysis, data management, or a related field.- 2+ years of experience with SQL and database technologies, with the ability to query and analyse data sets.- Prior knowledge of data governance programmes and/or data quality improvement programmes is essential.- Prior knowledge of Data Observability / Data Quality Tools (Monte Carlo, Soda, Informatica, etc) is essential.- Prior knowledge of Data Catalogues (e.g. Atlan, Collibra, Purview, Databricks Unity) is essential.- Prior knowledge in the following tools, including Power BI, Atlan, Monte Carlo, Snowflake, and Databricks.- Proficiency in the use of the Microsoft Office suite including Excel, Project, Visio, Word & PowerPoint.- Bachelors degree in Computer Science, Information Systems, Statistics, or a related field.- Familiarity with AI prompt optimization techniques is an advantage.- Experience in tracking developments in Confluence/JIRA is highly beneficial.- Prior experience of agile delivery is desirable.- Prior experience driving process improvements in finance, customer-facing, or operational environments is desirable.- Excellent communication and documentation skills with the ability to present facts clearly and objectively.- Excellent organisational and analytical skills with a high level of accuracy and attention to detail.- Strong interpersonal skills with the ability to manage effective working relationships at all levels both internally and externally.- Proven ability to work effectively under pressure and commitment to producing high quality output to tight deadlines. (ref:hirist.tech)