11803HS
This is a hands-on Data Analyst opportunity for someone who enjoys working with real-world operational data, getting to the heart of business challenges and using analysis to make a tangible difference. You’ll work across the business to improve visibility of performance, utilisation, efficiency and compliance, delivering high-quality reporting and analysis that supports better decision-making.
As a Data Analyst, you’ll work with data from multiple sources, ensuring it is accurate, reliable and presented in a way that is meaningful to both technical and non-technical stakeholders. You’ll have the opportunity to work with Power BI within the Microsoft Fabric environment, alongside T-SQL, Python and advanced Excel, while collaborating closely with senior analysts and teams across the business.
Key Responsibilities
- Collect, clean and organise large datasets from multiple sources, maintaining a high level of data accuracy and integrity.
- Analyse data to identify trends, patterns and opportunities, translating findings into practical and actionable insights.
- Develop engaging reports and dashboards using Power BI within the Microsoft Fabric framework.
- Use T-SQL and/or Python to extract, manipulate and prepare data for analysis and reporting.
- Work closely with senior analysts and stakeholders across different departments to understand business requirements and solve operational challenges.
- Document analytical processes, workflows and procedures to support consistency and knowledge sharing.
- Identify opportunities to improve reporting processes, data quality, efficiency and ways of working.
- Apply a meticulous approach to data validation, analysis and reporting.
- Ask the right questions of the data and challenge assumptions to maximise the value of business information.
- Communicate analytical findings clearly through written reports, presentations and stakeholder discussions.
- Use advanced Microsoft Excel, including pivot tables, VLOOKUPs and basic macros, to support data analysis and organisation.
Experience & Technical Skills
- Experience in data visualisation, using Power BI, Tableau or similar tools, and/or experience with T-SQL querying or Python for data manipulation.
- Experience creating reports, dashboards or visualisations that communicate information clearly.
- Proficiency in Microsoft Excel, including pivot tables, VLOOKUPs and basic macros.
- Experience working with large or multiple datasets and ensuring data quality and accuracy.
- Strong analytical and critical-thinking skills.
- The ability to manage competing priorities and deliver accurate work to deadlines.