Data Governance Operations Analyst

Roles and responsibilities:

• Work closely with the Data Quality Lead and the Domain Governance Analysts, and be the first-line coordinator for Data Quality incidents
• Monitor Monte Carlo alerts and Data Quality notifications. Maintain governance operating procedures and runbooks, and contribute to governance maturity improvement initiatives.
• Review newly generated incidents and assess alert completeness and categorisation. Identify duplicate alerts and recurring issues.
• Create and maintain Data Quality incident records, and escalate critical incidents in accordance with agreed procedures.
• Categorise incidents by: Domain, Severity, Data Product, Critical Data Element, Root Cause Category, Impact Type
• Ensure incident information is complete before assignment and assign incidents to the correct domain or technology team. Identify opportunities to reduce recurring incidents.
• Track incident progress through to closure, monitor SLA compliance and follow up on overdue incidents.
• Maintain incident audit trails and evidence, and ensure incident status updates are current and accurate. Track unresolved ownership gaps and escalations.
• Maintain the enterprise Data Ownership, Stewardship Matrix and validate completeness of ownership information.
• Support onboarding and offboarding of Data Owners and Data Stewards, and manage governance distribution lists, teams, channels and governance communities.
• Support stewardship engagement activities and coordinate periodic ownership reviews.
• Produce weekly Data Quality incident reports, track open incidents, closed incidents, repeat incidents, mean time to resolution, incident ageing, and top root causes
• Support identification of systemic data quality issues and highlight trends requiring governance intervention.
• Maintain the lessons learned repository and identify operational inefficiencies within governance processes.
• Contribute to improvements in monitoring and triage processes.
• Recommend opportunities for automation and support the implementation of process improvements.
• Facilitate data access requests for roles requiring access to business systems and data.
  

Key Requirements:

• 3+ years of experience in data quality analysis, data quality principles, 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 experience of working with incidents, defects or operational support processes is essential
• Proficiency in the use of Microsoft Excel, Power BI, Project, Word & PowerPoint.
• Prior knowledge of data governance programmes and/or data quality improvement programmes is essential
• Ability to translate technical concepts into business language
• Bachelors degree in Computer Science, Information Systems, Statistics, or a related field
• Prior knowledge of the following tools, including Atlan, Monte Carlo, Snowflake, and Databricks, is desirable 
• Experience in tracking developments in Confluence/JIRA is highly beneficial.
• Prior experience of agile delivery 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.