Hiring.Camp

Commercial Analytics Manager - BPL

Barclays

·

Today

Location
Northampton, Barclays Campus, Pavilion Drive, United Kingdom · Canary Wharf, 7 Westferry Circus
Type
Full-time
Department
Sales
Seniority
Manager
Closing date
Today
Source
Workday

Description

Job Description

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 contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
  • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

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.

As a Commercial Analytics Manager within the Data & Analytics team, you’ll play a key role in shaping Barclaycard Payments’ commercial strategy. You’ll design and combine effective data-driven insight and models with strong commercial acumen to support decision-making that drives growth, profitability, customer acquisition, retention, and overall business performance. Working closely with stakeholders across Product, Finance, Sales, Commercial, and Analytics teams, you’ll help develop and refine strategies that ensure the business remains competitive in a dynamic payments market.

You’ll be responsible for the creation, development, and maintenance of commercial performance models and reporting frameworks, using deep analysis of customer behaviour, transaction trends, sales performance, market dynamics, and competitor activity to generate actionable insights. You’ll shape and lead a team of analysts, experimenting with the latest modelling techniques and cloud capabilities, developing agent based and automated performance reviews of key commercial initiatives, campaigns, and growth programmes, monitoring outcomes and identifying opportunities for optimisation. With strong stakeholder engagement skills, you’ll also oversee governance activities relating to commercial reporting, analytics methodologies, and performance measurement, ensuring outputs are robust, well-controlled, and clearly documented.

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 Barclays.com.

To be successful as a Commercial Analytics Manager, you must have the following essential skills:

  • Degree in a relevant analytical discipline, such as Statistics, Mathematics, Economics, Finance, Data Science, Computer Science or a related field
  • Experience working with large and complex unstructured data, including proficiency in tools such as SQL, Python, and Cloud tooling 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
  • Lead and develop a high performing team of data analysts and scientists

Some other highly valued skills may include:

  • Experience using data and analytics to assess commercial performance, measure the effectiveness of key business initiatives, and provide actionable insights to drive growth and profitability.
  • Strong stakeholder engagement skills, with the ability to build effective relationships and communicate insights clearly and concisely across technical and non-technical audiences’

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.

Skills

PythonSQLData Science

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