Data Governance & Quality Analyst
Amtis
Birmingham, United Kingdom
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
£ 60KJob location
Birmingham, United Kingdom
Tech stack
Microsoft Excel
Agile Methodologies
Data analysis
Big Data
Data Governance
Data Profiling
Database Queries
Query Languages
Python
Power BI
Data Strategy
Usage Tracking
Data Lineage
Data Management
Job description
This is a hands-on opportunity with real ownership, working closely with stakeholders to improve data quality, define standards, and drive trust in data., You'll take responsibility for delivering data governance and quality initiatives across multiple data sources, ensuring data is accurate, consistent, and fit for purpose., * Supporting the implementation and evolution of data governance frameworks and standards
- Working with stakeholders to define data ownership, definitions, and quality KPIs
- Analysing data lineage and identifying root causes of data issues
- Leading remediation activity to improve data quality and integrity
- Conducting data profiling to assess and assure data quality
- Defining and enforcing policies around data usage, storage, and access
- Acting as a subject matter expert, promoting best practice across the business
- Contributing to governance forums and supporting wider data strategy initiatives
Requirements
- Experience in data governance, data quality, or broader data management roles
- Strong understanding of data governance frameworks and principles
- Ability to engage with technical teams and validate engineering outputs
- Strong SQL skills, along with advanced Excel and Power BI
- Experience working with large and complex datasets
- Python or other query languages (desirable)
- Experience working in agile environments (preferred)
Background:
- 3-5 years' experience in data governance or data management
- Experience implementing data practices within data-rich environments
- Proven ability to define and measure data quality KPIs
- Degree in a relevant field or equivalent experience