Master Data Analyst
Role details
Job location
Tech stack
Job description
As a Master Data Analyst, you will report to the Master Data Manager and play a pivotal role in delivering Thames Water's Master Data initiatives. You will work closely with business stakeholders to ensure critical data is accurate, consistent, and governed in line with company policies. You'll be central to building and maintaining a single trusted view of core data (the "golden record") using our Profisee MDM tool. If you bring experience with other MDM platforms, training will be provided through the Profisee Academy., * Data Analysis & Insight - apply analytical skills to interrogate large datasets, identify trends, and generate insights that improve business decision-making.
- Master Data Modelling - profile source data, design and maintain data models that align with business processes.
- Data Quality - define and apply data quality rules, run profiling and exception reports, and work with stakeholders to resolve issues.
- Matching & Survivorship - configure matching rules and survivorship logic to ensure precision in golden records.
- Relationships & Hierarchies - define entity relationships, hierarchies, and workflows within the MDM system.
- MDM Operations - manage ingestion, mapping, and implementation of business rules in Profisee.
- Reporting & KPIs - build and support dashboards and reports to measure data quality, track KPIs, and monitor stewardship activity.
- Collaboration - work with Data Owners, Stewards, IT teams, and external vendors to embed governance and deliver measurable value.
Requirements
Good communication skills, * Strong analytical skills - ability to interrogate data, uncover patterns, and translate findings into actionable insights.
- MDM experience - prior experience with Profisee or another MDM platform.
- Data Quality skills - experience in designing and applying rules, running profiling, and managing remediation.
- Technical proficiency - strong SQL skills and familiarity with data management/BI tools (e.g. Power BI, Databricks, Excel).
- Problem-solving ability - confident in identifying root causes of data issues and proposing effective solutions.
- Collaboration - excellent communication skills to engage with both technical and business stakeholders.