Data Analyst (IT)
Job title: Data Analyst Location: London - Hybrid Contract: 6 months, with possibility of extension Clearance: SC Cleared or eligible to obtain SC clearance We are currently recruiting for an experienced Data Analyst to support a major programme based in London. The successful candidate will work with complex datasets to support analysis, reporting and data-driven decision-making. The role requires strong SQL capability alongside practical experience working with POLE data. Key Responsibilities
- Analyse large and complex datasets to identify trends, patterns and actionable insights.
- Write, optimise and maintain complex SQL queries.
- Work with POLEv2 data structures and associated data models.
- Support data mapping, transformation and validation activities.
- Extract, cleanse and manipulate data from multiple sources.
- Investigate data quality issues and support remediation activities.
- Produce accurate analysis and reporting to support programme and business requirements.
- Work closely with technical teams, data engineers, architects and business stakeholders.
- Translate business requirements into clear analytical outputs.
- Validate datasets and ensure data is complete, consistent and reliable.
- Support the development and maintenance of reporting and analytical solutions.
- Document data definitions, mappings, processes and analytical outputs.
- Contribute to continuous improvement of data quality, reporting and analytical processes.
- SQL - strong hands-on experience writing and analysing complex queries.
- POLEv2 - practical experience working with POLEv2 data, data structures or data mapping.
- Data analysis and interpretation.
- Data cleansing, validation and quality assurance.
- Working with large and complex datasets.
- Data mapping and transformation.
- Identifying and resolving data-quality issues.
- Producing clear analytical outputs and reports.
- Translating business requirements into data and reporting requirements.
- Strong attention to detail and analytical problem-solving skills.
- Working collaboratively with technical and non-technical stakeholders.
- Data modelling.
- ETL or data transformation processes.
- Reporting and visualisation tools.
- Cloud-based data platforms.
- Python or other analytical programming languages.
- Working within large-scale enterprise or public-sector programmes.
- Experience handling sensitive or security-classified data environments.
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