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Data Analyst
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Data Analyst (Banking) | Contract
Location: Remote with occasional travel to Milton Keynes
Rate: £600 per day (Inside IR35)
Duration: Initial 10-month contract
We're looking for an experienced Data Analyst to join a leading financial services organisation on an initial 10-month contract. This is an excellent opportunity for a commercially-minded analyst who enjoys turning complex data into actionable insights that influence business decisions.
Working within a collaborative data team, you'll be responsible for delivering analysis and reporting that supports customer-focused initiatives, helping identify target customer segments and providing insights that drive business performance.
Key Responsibilities
- Analyse large and complex datasets to deliver clear, actionable business insights.
- Build reports and dashboards that support strategic and operational decision-making.
- Identify customer segments and opportunities through data analysis.
- Work closely with stakeholders to understand business requirements and translate them into analytical outputs.
- Ensure high standards of data quality, accuracy, and reporting.
- Contribute to the continuous improvement of analytical processes and ways of working.
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Essential Skills & Experience
- Proven experience as a Data Analyst delivering high-quality analysis and business insight.
- Strong SQL skills for querying and analysing large datasets.
- Advanced Microsoft Excel skills.
- Experience producing reports and presenting findings to business stakeholders.
- Strong analytical and problem-solving capabilities with excellent attention to detail.
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Desirable Experience
- Experience working within financial services or banking environments.
- Experience analysing customer data, customer segmentation, or targeted marketing initiatives.
- Experience using modern AI tools such as ChatGPT, Microsoft Copilot, Claude or similar LLM-based assistants to improve day-to-day analytical workflows and productivity. We're looking for someone who actively uses AI to work smarter rather than someone who builds AI solutions.
- Experience with modern cloud data platforms, including:
- Power BI
- Snowflake
- AWS (Athena)
- Experience supporting or working through the migration from legacy data platforms to modern cloud-based technology stacks.
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