Data Analyst/Scientist
  • England,London,City of London
  • Full Time, Permanent
  • £50,000 - £60,000 per annum
Job Description:
Full job descriptionData 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.
Job number 4254719
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