Senior Data Analyst - Saint Eval

Senior Data Analyst - Saint Eval

Senior Data Analyst

• 40,000- 45,000 per annum.
• Plus, up to 2,400 per year in tips (paid weekly, based on last year's earnings), giving total potential earnings of 47,400 per year.
• Permanent Contract 40hr week.

We're looking for a talented and driven Senior Data Analyst to play a key role in transforming how we use data to make smarter business decisions. You'll be responsible for ensuring the consistency, accuracy, and integrity of our data across multiple operational systems, developing insightful analysis, and building robust forecasting models that directly support commercial and operational performance.

This is a fantastic opportunity for someone who thrives on problem-solving, enjoys working collaboratively, and wants to make an impact by improving the way data informs strategy and drives performance.

Duties and Responsibilities

• Create and maintain a consistent data structure across all operational systems (Access, Fourth, Mapal, Alert65), establishing rules and audit checks to ensure ongoing compliance and data integrity.
• Oversee performance reporting and analysis, translating operational and business data into actionable insights.
• Build reliable analytical models to improve forecasting and demand planning for centralised stock, providing recommendations to the commercial team.
• Develop performance forecasting templates to enhance both financial and non-financial decision-making.
• Produce clear training materials and "how-to" guides to maintain high data quality across teams and systems.
• Support supplier onboarding by ensuring catalogue data is accurate and consistent.
• Maintain and manage data across core systems, including: Products & promotions in EPOS, Recipes and product catalogues in PW
• Introduce and integrate third-party data sources to enhance business insight and decision-making.
• Identify opportunities for efficiency through automation, AI, improved structure, and governance.
• Monitor market trends and performance, providing comparative analysis and actionable recommendations to enhance competitiveness.

Experience:

• Proven experience in a data analysis or business intelligence role, ideally within a commercial or operational environment.
• Strong skills in data modelling, reporting, and visualisation (e.g. Power BI, Excel, SQL).
• Excellent attention to detail and commitment to maintaining high data quality.
• Experience managing data across multiple systems or platforms.
• Strong communication skills, with the ability to explain insights to non-technical stakeholders.
• Proactive, collaborative, and adaptable approach to problem-solving.