Data Analyst/Scientist

Harnham - Data and Analytics Recruitment; Windsor; Hybrid; GBP 54,000 - 66,000; Full time

Job summary

Harnham - Data and Analytics Recruitment in Berkshire offers a Data Analyst/Scientist role with hybrid working. You will build and refine data models, improve data quality, and support a Snowflake-based platform to enable advanced analytics and ML initiatives.

You will create Power BI dashboards, develop forecasting models, and explore AI applications for document processing and information extraction, collaborating with stakeholders to translate business challenges into actionable analytical

Qualifications

• Strong SQL and data modelling experience.
• Experience with cloud data platforms, ideally Snowflake.
• Commercial experience with complex datasets.
• Experience building forecasting or predictive models in Python.
• Power BI reporting and dashboard development.
• 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.

Responsibilities

• Build and maintain data models for reporting, analytics, and ML.
• Improve data quality and reconciliation across sources.
• Develop entity resolution and record consolidation.
• Support migration to Snowflake-based data platform.
• Create Power BI dashboards for operations and leadership.
• Develop forecasting models for planning and performance.
• Explore AI and ML applications for processing and extraction.
• Work with structured and unstructured data to create trusted data assets.
• Collaborate with stakeholders to translate business challenges into analytics.
• Contribute to predictive models for risk and operational optimization.

Skills

SQL

Data modelling

Snowflake

Python

Power BI

Machine learning

Data quality

Stakeholder comms

Education

STEM degree

Tools

Snowflake

Job description

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:

• 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.