Lead Pricing Data Analyst - BPL

hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.

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, monitoring outcomes and identifying 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.

Barclays' payments acceptance business provides critical infrastructure to the UK economy, processing billions of pounds of payments annually for both small businesses and domestic and international corporate clients.

In April 2025, we announced a long-term partnership with Brookfield Asset Management to grow and transform the payments acceptance business by broadening the range of services offered, enhancing the experience for both existing and prospective clients. Leveraging extensive client relationships and deep experience of UK payments, we will create an environment of continuous innovation - activated by Brookfield's global private equity expertise in payments, technology, operational transformation and corporate carve-outs - to ensure the business is strategically positioned for long-term growth.

Barclays will invest approximately £400m in the new business, the majority of which will be incurred during the first three years. Performance-linked incentives will drive greater alignment between the partners, underpinning the long-term commitment to the transformation. Barclays and Brookfield will work to create a standalone entity over time, continuing to use the Barclaycard Payments (BPL) brand and acting as the sole payments acceptance services provider to Barclays' clients for a minimum of ten years.

For more information on our partnership with Brookfield, please visit .

To be successful as a Lead Pricing Data Analyst, you must have the following essential skills:

• 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

Some other highly valued skills may include:

• 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

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Purpose of the role

To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments.

Accountabilities

• 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.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures
• If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and…