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Lead Insight Analyst
Job in
Sheffield, South Yorkshire, S5, England, UK
Listed on 2026-01-22
Listing for:
Hydrogen Group
Full Time
position Listed on 2026-01-22
Job specializations:
-
Finance & Banking
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
Lead Insight Analyst – Wealth & Personal Banking
Location:
Hybrid | Onsite 2x per week in Birmingham, Leeds, Sheffield or Chester
We are working with our Wealth & Personal Banking client who supports millions of customers across the UK, from everyday banking through to lending, savings, investments and wealth management.
Our client’s UK Analytics & CRM Centre of Excellence uses data, insight and machine learning to drive smarter decisions, improve customer outcomes, and deliver sustainable growth.
They are now looking for a Lead Insight Analyst to join this high-performing function and play a key role in shaping insight across their Lending portfolio.
- Partnering with senior stakeholders to translate complex business needs into actionable analytics, insight and data products
- Leading end-to-end analytical projects across secured and unsecured lending, including acquisition, targeting, pricing, balance growth, spend growth and regulatory initiatives
- Designing, building and maintaining robust data products including tables, views, segments and associated metadata
- Developing, deploying and maintaining predictive and forecasting models to support business decision‑making
- Delivering insight across consumer behaviour, segmentation, marketing effectiveness and pricing strategy
- Supporting regulatory programmes and ensuring high standards of data accuracy, integrity and governance
- Collaborating with global analytics teams to develop shared data products and standards
- Clearly communicating conclusions, risks and recommendations to both technical and non‑technical stakeholders
- Experience in an Insight Analytics or Risk Analytics role within Financial Services
- Direct exposure to consumer lending products (e.g. loans, credit cards, mortgages or similar)
- Strong understanding of credit risk, profitability and customer behaviour
- Advanced analytical skills using SAS and SQL (Python or VBA also beneficial)
- Experience working with large, complex data sets
- Proven ability to take an analytics project from problem definition through to business recommendation
- Knowledge of FCA regulation and working in a regulated lending environment
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