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.
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