Senior Data Analyst

Role Overview

The Senior Data Analyst will play a key role in shaping the company’s data-driven future, working closely with the Data Analytics Manager, Data Engineers, and stakeholders across the business to identify opportunities to use data to improve commercial performance and support better decision-making.

What You Will Do

The Senior Data Analyst will deliver commercial insight, turn data into action, develop reporting and analytics, improve data capabilities, lead analytical projects, influence and collaborate, explore new technologies, and champion data quality and governance.

Why It Might Be a Fit

The ideal candidate will be a naturally curious and commercially minded analyst who enjoys getting to the heart of a problem, asking the right questions, and using data to make a real difference.

Requirements

• Strong SQL and programming skills, particularly in Python, with experience working with complex datasets from multiple sources.
• Experience developing reports and interactive dashboards using data visualisation tools such as Tableau, Power BI or equivalent.
• Advanced analytical, statistical, and modelling skills, with the ability to identify trends, solve complex problems and translate findings into actionable insights.
• Practical experience applying machine learning and artificial intelligence techniques to real-world business challenges.
• A track record of delivering data-driven solutions that support business improvement and measurable commercial outcomes.
• Strong communication skills, with the ability to explain complex technical concepts and present insights to both technical and non-technical audiences.
• Excellent stakeholder management and influencing skills, with the confidence to challenge constructively and bring people along with you.
• Commercial awareness and the ability to understand business priorities and align analytical solutions to organisational objectives.
• Knowledge of cloud-based analytics environments, modern data technologies, and contemporary approaches to data management.

Benefits

• Competitive pay rates and a bonus scheme
• 25 days annual leave plus option to buy or sell
• Enhanced maternity and paternity leave
• Employee support – including life assurance and critical illness pay
• Wellbeing scheme – giving colleagues and dependents unlimited access to GPs and counselling, and cash back on health and wellbeing
• 24/7 anonymous health and wellbeing advice
• Financial support – including affordable loans, savings plans, advanced earned pay and education
• Money off shopping, utilities, entertainment and more
• Cycle 2 work scheme

Tagged as: Data Analysis