Senior 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 company.

Key Requirements:

• 5+ years of experience in data quality analysis, data management, or a related field.
• 3+ 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 experience in the following tools, including Power BI, Atlan, Monte Carlo, Snowflake, Databricks
• Advanced level of 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 optimisation 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.
• Prior experience facilitating workshops with multiple stakeholders.
• 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.