Data Quality Analyst
First seen by Alion on Aug 27, 2026.
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.
Skills
Data Quality, Data Catalogue, Analytics, SQL, Data Governance, Informatica, Power BI, Snowflake DB, Databricks