Senior Analyst (Data) – Banking Products

About the role

Love solving problems with data? As a Senior Analyst (Data) you’ll use your analytical skills and curiosity to uncover insights, solve complex business problems and influence better outcomes for customers and the bank. You’ll work with stakeholders across Banking Products, turning data into clear recommendations while supporting improvements to products, controls and processes.

Key responsibilities

• Turn complex questions into clear analytical problems, defining the data, measures and evidence needed to find the right answers.
• Analyse data from multiple sources to uncover trends, anomalies and root causes, translating findings into meaningful insights and recommendations.
• Partner with stakeholders to understand their needs, shape analytical requirements and help them understand the implications of your findings.
• Support product and control decision‑making, assessing how changes to products, pricing, processes or systems could impact customers, reporting and controls.
• Drive better ways of working by improving reporting speed and accuracy, developing reusable analytical solutions and supporting initiatives across pricing, packages, rewards and loyalty.

Required profile

• Strong analytical and problem‑solving skills with experience using data to tackle complex problems.
• Confidence working with ambiguity, shaping broad business questions into clear, structured analytical approaches.
• Excellent stakeholder and communication skills, able to build relationships, influence decisions and make complex data easy to understand.
• Banking or financial services knowledge, understanding products, processes, customer outcomes and the broader commercial and risk environment.
• Curious, detail‑focused mindset with a passion for digging deeper, solving problems and continuously finding better ways of working.
• Experience with analytical tools and technology, including Excel and exposure to SQL, SAS, Tableau, Power BI or Python.

Required skills

• Excel
• SQL
• SAS
• Tableau
• Power BI
• Python