BI Analyst (12 Month FTC)
BI ANALYST (12 MONTH FTC)
LONDON/HYBRID
UP TO £56,000
This is a highly visible Data & Business Intelligence Analyst role within a purpose-led, data-driven organisation. It offers the opportunity to work at the intersection of business and technology, helping shape how data is governed, structured, and used to support critical decision-making and regulatory reporting.
ROLES AND RESPONSIBILITIES:
The BI Analyst will:
- Gather, analyse, and document business and technical requirements across multiple teams
- Build dashboards and reports using Power BI to support internal and external reporting needs
- Deliver datasets and analytical outputs to support decision-making and regulatory reporting
- Support data governance activities, including data dictionaries, business glossaries, and metadata management
- Lead and contribute to data modelling initiatives, including current and future-state models
- Collaborate with Data Stewards and Data Owners to improve data quality and resolve issues
- Support ETL, data migration, mapping, and data cleansing activities
- Conduct testing, quality assurance, and User Acceptance Testing to ensure accuracy and reliability
- Contribute to wider transformation programmes and continuous improvement across data processes
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong SQL skills and experience working with relational data
- Experience building dashboards and reports in Power BI, including use of DAX
- Solid understanding of data modelling principles such as star and snowflake schema
- Experience with ETL processes and data integration
- Strong experience gathering and translating business requirements into technical solutions
- Proven ability to work with stakeholders to improve reporting and data quality
- Experience developing and maintaining data governance artefacts such as data dictionaries and business glossaries
- Strong communication skills, able to engage both technical and non-technical audiences
- Detail-oriented with a focus on data accuracy and quality
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