Data & Analytics Analyst

What you'll do

The skills you'll need

Responsibilities

• As a Data & Analytics Analyst, you’ll be using advanced analytics to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You’ll be working closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible.
• As well as this, you’ll be:
• Working in an Agile way within multi-disciplinary data and analytics teams, co-ordinating resources from across the team and the business to achieve agreed project and scrum outcomes
• Delivering data and analytics expertise and solutions, which brings commercial and customer value to business challenges
• Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with, supporting them to select the best approach for the business needs
• Using new tools, technologies and methodologies to carry out advanced analytics
• Sharing relevant updates with key stakeholders bringing together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs
• We're looking for a data-driven individual with a passion for analytics and with an understanding of data architecture, analytics tooling and relevant coding languages, along with the ability to communicate findings in a way that helps stakeholders make informed decisions.
• You'll combine technical expertise with commercial awareness, using data to identify opportunities, risks and business impacts across a complex organisation. Working collaboratively with stakeholders and wider data teams, you'll help deliver meaningful insight that supports better customer and business outcomes.
• You'll also need:
• Experience of SQL, ideally gained using Snowflake and AWS, with knowledge of data management principles and data architecture
• Experience creating impactful data visualisations and insights using tools such as QuickSight, Tableau or Power BI
• The ability to apply critical thinking and problem-solving skills to develop data-led recommendations and solutions
• Experience translating complex data and analytics into clear, compelling messages for a range of stakeholders
• An understanding of data engineering, data science and decisioning disciplines, with experience using tools such as GitLab or GitHub
• Knowledge of Python and orchestration tools such as Apache Airflow would be advantageous
• Hours
• 35
• Job Posting Closing Date:
• 27/10/2026
• Ways of Working:Remote First