Data Analyst/Scientist

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.

• 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.