Overview
We're looking for a hands-on MI/BI Data Analyst to join a Transaction Banking transformation programme. This is a technical, delivery-focused role where you'll work closely with Business Analysts to turn requirements into high-quality reporting and dashboard solutions.
Key Responsibilities
- Develop and deliver MI reports, dashboards, and analytics solutions using Power BI.
- Perform data discovery, data analysis, and validation activities using SQL and reporting tools.
- Work closely with Business Analysts to refine requirements and create user stories.
- Build reporting solutions from requirements through to testing and deployment.
- Investigate and analyse large datasets to identify insights and validate outputs.
- Manage multiple reporting requests and priorities, ensuring timely delivery.
- Support UAT and ensure reporting solutions meet business requirements.
- Undertake occasional Excel-based analysis and dataset reviews.
Essential Skills & Experience
- Strong hands-on Power BI experience, including recent dashboard development.
- Strong SQL skills for data analysis, discovery, validation, and reporting.
- Experience using Power Query for data preparation and transformation.
- Proven experience developing reporting and dashboard solutions end-to-end.
- Experience working independently and managing a backlog of requirements.
- Strong analytical and problem-solving skills.
- Experience working with large and complex datasets.
- Excellent communication and stakeholder engagement skills.
Preferred Experience
- Financial Services or Banking experience.
- Knowledge of Transaction Banking products and processes.
- Understanding of banking data and reporting environments.
- Experience working within large transformation or change programmes.
The strongest candidates will demonstrate:
- Recent, hands-on Power BI development experience.
- Strong SQL capability with confidence investigating and validating data.
- Experience delivering reporting solutions from requirements through to release.
- Ability to work autonomously and drive delivery.
- Financial Services exposure, ideally within Transaction Banking.
- A technical mindset with a focus on quality delivery rather than a purely business-focused Data Analyst background.