Data Analyst – London (Hybrid) – Azure, Databricks, SQL, Power BI – Up to £55,000
This is a great opportunity to join a globally recognised organisation that has been delivering landmark, high‑value projects for decades and continues to invest heavily in technology, data and long‑term capability.
The business operates worldwide with a strong, people‑first culture built around approachable leadership, inclusion and respect. The Global IT function plays a critical role in modernising how the organisation uses data, and data quality is seen as a core enabler.
You’ll join a collaborative Global Data Team where quality, governance and reliability really matter. There’s a genuine focus on doing things properly, building sustainable solutions, and giving people the flexibility and support they need to do their best work.
You will work with:
- Business stakeholders, data stewards and data owners
- Data Engineers, Product teams and Senior IT stakeholders
- Azure‑based data platforms including Databricks, DLT and Delta tables
- Data governance, migration and reporting initiatives across the business
What will be involved in the role:
- Identifying data quality risks early through stakeholder engagement and domain understanding
- Performing hands‑on data profiling, discovery and quality checks at source
- Analysing root causes of data issues and driving corrective actions
- Supporting data migration by validating mappings, transformations and scripts
- Running reconciliation and post‑migration quality checks
- Raising, tracking and resolving defects during trial loads and cutovers
- Translating business needs into clear, measurable data quality requirements
- Working with engineers to implement quality rules, constraints and monitoring
- Designing and maintaining data quality KPIs, dashboards and alerts
- Supporting governance practices, standards and continuous improvement
Benefits:
- Discretionary annual bonus
- 8% employer pension contribution
- 25 days annual leave plus holiday purchase options
- Private medical cover, EAP and virtual GP service
- Competitive parental leave
- Flexible benefits (gym discounts, cycle‑to‑work, season ticket loans)
- Strong commitment to hybrid and flexible working
- Excellent learning and development opportunities through an internal academy
Key experience:
- Strong experience with SQL, Python or similar for data analysis and validation
- Hands‑on experience with Databricks, Delta Live Tables and data quality frameworks
- Proven background in data profiling, cleansing, migration and reconciliation
- Understanding of data pipelines and engineering best practices
- Experience working with Power BI and data quality metrics
- Good knowledge of data governance, standards and regulatory requirements
- Comfortable working in Agile and Waterfall environments
- Confident communicator able to work across business and technical teams
This is a chance to step into a visible, high‑impact Data Quality role within a global organisation that genuinely values quality, governance and long‑term thinking.
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