Senior Data Analyst

Senior Data Analyst

London - 4 Days per Week in Office

Up to £70,000

If you're looking for a Senior Data Analyst role where your insights will directly influence business strategy, this is an excellent opportunity to make a measurable impact. You'll work across multiple functions, translating complex data into actionable recommendations and helping shape a truly data-driven culture.

The Company:

This organisation is a well-established and growing business with a strong focus on innovation, operational excellence, and customer experience. They are investing heavily in their data and analytics capabilities and see data as a key driver of business performance. With a collaborative culture and ambitious growth plans, they offer the chance to work with senior stakeholders and contribute to high-profile initiatives across the business.

The Role:

As a Senior Data Analyst, you will:

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• Deliver high-quality analysis, reporting, and insights to stakeholders across the organisation.
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• Work with large and complex datasets to identify trends, opportunities, and performance drivers.
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• Partner closely with data engineering and technology teams to enhance analytics capabilities.
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• Build dashboards, reports, and visualisations that support decision-making at all levels.
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• Communicate analytical findings clearly to both technical and non-technical audiences.
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• Collaborate with teams across finance, sales, operations, and leadership functions.
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• Support data governance initiatives, helping to improve data quality and consistency.
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• Contribute to the analytics roadmap and help prioritise strategic data projects.
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Your Skills & Experience

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• Strong commercial experience in data analytics within a complex business environment.
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• Advanced SQL skills and experience querying large datasets.
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• Experience delivering actionable insights that have influenced business outcomes.
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• Strong understanding of data governance and data quality best practices.
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• Experience with data visualisation and reporting tools, ideally Power BI.
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• Exposure to Python or R is advantageous.
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• Ability to engage and influence stakeholders across a range of business functions.
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• Excellent communication skills with the ability to explain complex analysis in a clear and practical way.
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• Experience working alongside data engineering or wider technology teams.
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