Data Analyst

Data Analyst

4 days onsite

We're delighted to be supporting our client with the appointment of a Mid-Level & Senior Data Analyst on a permanent basis.

This is an exciting opportunity for an experienced data professional to take a key role in helping the business understand its performance through data. Working across multiple areas of the organisation, you'll transform complex operational data into clear, meaningful and actionable insight, helping stakeholders make informed decisions and identify opportunities to improve performance, utilisation, efficiency and compliance.

This is a genuinely hands-on role, ideal for someone who enjoys getting into the detail of data, solving business problems and working closely with stakeholders to understand what the numbers are really telling them.

You'll have the opportunity to work with Power BI and Microsoft Fabric, alongside T-SQL, Python and advanced Excel. You'll also play an important role in shaping how data and insight are used across the business.

For a senior-level candidate, there will be additional scope to influence analytical approaches, support less experienced colleagues and work more strategically with senior stakeholders.

• Analyse complex datasets from multiple sources to identify trends, patterns, risks and opportunities.
• Translate business requirements and operational challenges into meaningful analytical solutions.
• Develop and maintain high-quality Power BI dashboards and reports within the Microsoft Fabric environment.
• Use T-SQL and Python to extract, manipulate, transform and analyse data.
• Ensure data is accurate, consistent and reliable, investigating and resolving data-quality issues where required.
• Provide clear insight into business performance, utilisation, efficiency and compliance.
• Work closely with stakeholders across the business to understand their requirements and translate data into practical recommendations.
• Present analytical findings clearly to both technical and non-technical audiences, adapting your communication style to the audience.
• Identify opportunities to improve reporting, processes, data quality and analytical capability.
• Develop and maintain documentation covering reporting processes, analytical methodologies and workflows.
• Manage multiple analytical projects and reporting requirements, ensuring work is delivered accurately and to agreed deadlines.
• Contribute to the development of data and reporting standards across the organisation.
• For a senior appointment, provide guidance and support to Junior Analysts and contribute to the wider development of the data function.

• Strong analytical and critical-thinking skills, with the ability to identify the story behind the data.
• Excellent attention to detail and a methodical approach to data quality and analysis.
• Strong stakeholder management and communication skills.
• The ability to explain complex data and insights in a straightforward, accessible way.
• Excellent organisational skills and the ability to manage competing priorities.
• A proactive approach to problem-solving, with the confidence to ask questions and challenge where appropriate.
• A genuine interest in using data to improve business performance.
• A willingness to share knowledge, collaborate with colleagues and continually develop your technical skills.

We're particularly interested in candidates with experience across some or all of the following:

• Power BI - developing dashboards, reports and visualisations that provide meaningful business insight.
• Microsoft Fabric - experience working within, or exposure to, the Fabric data ecosystem.
• T-SQL - querying databases and extracting and manipulating data for analytical purposes.
• Python - data manipulation, analysis or automation.
• Microsoft Excel - advanced functions including pivot tables, VLOOKUPs and basic macros.
• Experience working with large, complex or multiple datasets.
• Experience identifying and resolving data-quality issues.
• Experience translating business requirements into reporting and analytical solutions.

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

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