At a Glance
- Tasks: Shape pricing strategies using data insights and collaborate with diverse teams.
- Company: Join Barclaycard Payments, a leader in the dynamic payments market.
- Benefits: Competitive salary, career growth, and a chance to influence key business decisions.
- Other info: Engage with stakeholders and develop robust pricing models in a supportive environment.
- Why this job: Make a real impact on pricing strategies that drive growth and customer value.
- Qualifications: Degree in analytical fields and experience with SQL, Python, and data visualisation.
The predicted salary is between 60000 - 80000 £ per year.
As a Lead Pricing Data Analyst within the Data & Analytics team, you’ll play a key role in shaping the pricing strategy for Barclaycard Payments.
You’ll combine data‑driven insight with commercial understanding to support pricing decisions that drive growth, profitability, and customer value.
Working closely with stakeholders across Product, Finance, Commercial, and Analytics teams, you’ll help develop and refine pricing approaches that ensure the business remains competitive in a dynamic payments market.
You’ll be responsible for the creation, development, and maintenance of pricing models, using deep analysis of customer behaviour, transaction trends, and competitor activity to generate actionable insights.
You’ll lead performance reviews of pricing initiatives, monitor outcomes and identify opportunities for optimisation.
With strong stakeholder engagement skills, you’ll also oversee model governance activities, ensuring pricing methodologies are robust, well‑controlled, and clearly documented.
This is a highly visible role where your ability to translate complex data into meaningful commercial recommendations will directly influence the success of Barclaycard Payments’ pricing strategy.
Responsibilities
- Identification and extraction of relevant data from various internal and external sources.
- Performing sensitivity analysis and scenario planning.
- Monitoring and evaluation of the performance of existing models.
- Development and implementation of data quality control procedures.
- Building and validation of quantitative models to support decision‑making across different business areas.
Qualifications
- Degree in a relevant analytical discipline, such as Statistics, Mathematics, Economics, Finance, Data Science, or a related field.
- Experience working with large and complex datasets, including proficiency in tools such as SQL, Python, and Cloud (AWS) to support data analysis and modelling.
- Experience developing data visualisations and delivering commercial insights, with the ability to influence decision‑making through clear, data‑driven recommendations and stakeholder engagement.
- Highly Valued Skills
- Experience in pricing, margin management, and profitability analysis, with the ability to assess performance and support commercial decision‑making.
- Strong stakeholder engagement skills, with the ability to build effective relationships and communicate insights clearly across technical and non‑technical audiences.
- Lead virtual capabilities across Data & Analytics to deliver combined outcomes that support pricing.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right.
They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
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Lead Pricing Data Analyst - BPL employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.
