Data Analyst/Scientist - #2173363

Data Analyst / Data Scientist
Berkshire (Hybrid, 3-4 days onsite) | £50,000 - £60,000
No Sponsorship Offered

This is an excellent opportunity to join a growing organisation investing heavily in its data and analytics capabilities. You'll play a key role in building trusted data foundations, improving data quality, and developing analytics that support both operational decision-making and future AI initiatives.

The Company

They are a rapidly growing organisation undergoing a major data transformation programme. With a modern cloud-based data platform being built in Snowflake, they are focused on creating high-quality, accessible data that can support reporting, forecasting, automation, and AI-driven innovation. You'll join a small, collaborative team where your work will have visible business impact.

The Role

You will:

• Improve data quality, standardisation, and reconciliation across multiple systems.
• Build and maintain robust data models within a modern Snowflake environment.
• Work on entity resolution and fuzzy matching to create trusted customer records.
• Develop forecasting and predictive analytics models to support operational planning.
• Create insightful Power BI reporting and dashboards for senior stakeholders.
• Support AI and document processing initiatives, helping automate data extraction and business processes.

Your Skills & Experience

• Strong SQL and data modelling experience.
• Experience working with messy, fragmented datasets and data quality challenges.
• Commercial experience using Snowflake and/or modern cloud data platforms.
• Exposure to forecasting, predictive analytics, or machine learning.
• Power BI reporting and stakeholder-facing analytics experience.
• STEM-related degree and a hands-on, problem-solving mindset.

What They Offer

• Salary of £50,000 - £60,000.
• Hybrid working in Berkshire (3-4 days onsite).
• Opportunity to shape a growing data function from an early stage.
• Exposure to modern data, AI, and predictive analytics projects.
• Clear career progression within a business investing heavily in data and technology.

How to Apply

If you're a Data Analyst or Data Scientist looking for a role where you can combine data quality, analytics, forecasting, and AI-focused projects, apply today to learn more.