Data Analyst

Data Analyst

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• Salary: Competitive
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• Location: Central London
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• Sponsorship: Sponsorship is not available, so please only apply if you have the full, unencumbered right to work in the UK.
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A large, complex organisation with a significant data and analytics function is looking for a Data Analyst to join its central Data & AI team.

This role will act as a key link between a central data platform team and a wider community of analysts across the business. You will help stakeholders define data challenges, build proof-of-concept solutions, support platform adoption, and contribute to the delivery of data-driven insights across multiple departments.

Key responsibilities

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• Work with stakeholders to translate business questions into analytical use cases.
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• Build proof-of-concept analyses and lightweight data solutions using Microsoft Fabric and Power BI.
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• Develop simple end-to-end data models and identify when engineering support is required.
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• Support UAT activities, testing documentation, and product rollouts.
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• Provide updates on project progress, risks, and next steps.
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• Support users with queries relating to Power BI, data models, and the analytics platform.
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• Assist with data access requests and governance processes.
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• Maintain platform documentation and training materials.
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• Collaborate with analysts and subject matter experts to deliver cross-functional insights.
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Requirements

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• Degree in a STEM-related subject or equivalent commercial experience.
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• Around 2-3 years' experience working with Microsoft technologies, including Power BI and Microsoft Fabric.
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• Strong analytical and problem-solving skills.
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• Experience supporting projects through development, testing, and production deployment.
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• Confident communicator able to work with both technical and non-technical stakeholders.
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• Experience within a large or multi-site organisation would be beneficial.
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• PL-300 or similar Microsoft certification would be advantageous.
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What's on offer

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• Opportunity to work with a modern Microsoft data platform.
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• Exposure to large-scale data products and a broad stakeholder community.
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• A collaborative environment focused on data, analytics, and continuous improvement.
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