Data Analyst/Scientist

Harnham - Data and Analytics Recruitment
Windsor, United Kingdom
Today
£50,000 – £60,000 pa

Salary

£50,000 – £60,000 pa

Posted
21 Oct 2026 (Today)

DATA ANALYST/SCIENTIST

BERKSHIRE/HYBRID

UP TO £60,000

This is an exciting opportunity to join a growing organisation undergoing a major data transformation. You'll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions.

ROLES AND RESPONSIBILITIES:

The Data Analyst/Scientist will:

  • Build and maintain robust data models to support reporting, analytics, and machine learning initiatives.
  • Improve data quality, standardisation, and reconciliation across multiple source systems.
  • Develop approaches for entity resolution, fuzzy matching, and record consolidation.
  • Support the migration and development of a Snowflake-based data platform.
  • Create Power BI dashboards and reporting solutions for operational and leadership teams.
  • Develop forecasting models to support planning, performance monitoring, and resource allocation.
  • Explore AI and machine learning applications including document processing and information extraction.
  • Work with structured and unstructured datasets to create trusted, business-ready data assets.
  • Collaborate with stakeholders to translate commercial and operational challenges into analytical solutions.
  • Contribute to the development of predictive models focused on risk, performance, and operational optimisation.

Your Skills & Experience

  • Strong SQL and data modelling experience.
  • Experience working with cloud data platforms, ideally Snowflake.
  • Commercial experience working with complex or fragmented datasets.
  • Strong understanding of data quality, reconciliation, and master data challenges.
  • Experience building analytical, forecasting, or predictive models in Python.
  • Power BI reporting and dashboard development experience.
  • Exposure to machine learning, AI, or advanced analytics techniques.
  • Ability to engage with stakeholders and communicate technical concepts clearly.
  • STEM-related degree or equivalent analytical background.

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