Data Analyst
The Company A fast-growing, well-established business operating at scale, with a strong focus on performance, efficiency and continuous improvement. Data sits at the heart of how decisions are made, and insight is genuinely used to drive real operational change. It’s a collaborative, hands-on environment where teams work closely together on-site and value practical, real-world impact.The Role They are looking to bring on an experienced Data Analyst to support both operational and leadership teams by turning complex data into clear, actionable insight. This is a hands-on role, ideal for someone who enjoys being close to the operation and seeing the direct impact of their work across the business.Key Responsibilities
- Analyse operational, preparation and service-centre data to identify trends, patterns and opportunities for improvement
- Process-map the end-to-end operational journey, highlighting inefficiencies and areas for enhancement
- Build, maintain and continuously improve interactive dashboards and reports using Power BI to support real-time decision making
- Use SQL to interrogate full databases and extract meaningful insights
- Work closely with leadership and operational teams to deliver insights that drive performance and profitability
- Present findings and recommendations clearly and confidently to senior stakeholders
- Ensure data accuracy, consistency and integrity across multiple systems
- Identify gaps in current systems and data usage, supporting business cases for improvement
- Proven experience in a Data Analyst role, ideally within retail or manufacturing
- Strong Power BI experience (2+ years essential), building and maintaining interactive dashboards
- Solid SQL skills with the ability to query and interrogate full databases
- Excellent Excel capability, comfortable working with large and complex datasets
- Confident data visualisation skills
- An inquisitive, analytical mindset with strong problem-solving ability
- Excellent communication skills, able to translate technical insight for non-technical stakeholders
- Strong organisation and time-management skills
- Familiarity with databases and data warehousing concepts
- Python experience
- Exposure to project management or change or improvement initiatives