Netrolynx AI
Data Analyst

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About The Company
Barclays is a leading global financial services provider with a rich history of innovation and commitment to delivering exceptional banking solutions. Renowned for its customer-centric approach, Barclays offers a wide range of services including retail banking, credit cards, corporate banking, and investment management. The company prides itself on fostering a diverse and inclusive workplace, emphasizing integrity, respect, and excellence in all its operations. With a focus on digital transformation and sustainable growth, Barclays continues to adapt to the evolving financial landscape, ensuring long-term value for its clients and stakeholders worldwide.
About The Role
We are seeking a highly skilled Lead Pricing Data Analyst to join our Data & Analytics team at Barclays. In this strategic role, you will be instrumental in shaping the pricing strategies for Barclaycard Payments, a critical component of our payments acceptance business. Your expertise will enable the development of data-driven insights that support commercial decision-making, optimize profitability, and enhance customer value. Collaborating closely with stakeholders across Product, Finance, Commercial, and Analytics teams, you will lead the creation and refinement of sophisticated pricing models, ensuring they are robust, compliant, and aligned with the company's strategic objectives. This position offers a unique opportunity to influence the future of Barclays’ payments business through innovative analytics and strategic thinking.
Qualifications
The ideal candidate will possess a degree in a relevant analytical discipline such as Statistics, Mathematics, Economics, Finance, or Data Science. Extensive experience working with large, complex datasets is essential, with proficiency in tools like SQL, Python, and Cloud platforms such as AWS. Demonstrated ability to develop compelling data visualizations and deliver insights that influence decision-making is crucial. Additional valued skills include experience in pricing, margin management, profitability analysis, and stakeholder engagement. Strong communication skills, leadership capabilities, and a proactive approach to problem-solving are vital for success in this role.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Responsibilities
- Design, develop, and maintain advanced pricing models utilizing deep analysis of customer behavior, transaction trends, and competitor activity to generate actionable insights.
- Lead performance reviews of pricing initiatives, monitoring outcomes, and identifying opportunities for optimization to enhance profitability and competitiveness.
- Collaborate with cross-functional teams to gather requirements, translate complex data into meaningful commercial insights, and influence strategic decisions.
- Ensure model governance activities are conducted effectively, maintaining robust, well-controlled, and well-documented pricing methodologies.
- Extract relevant data from internal and external sources, perform sensitivity analysis, and conduct scenario planning to support strategic initiatives.
- Develop and implement data quality control procedures to maintain high standards of data integrity and reliability.
- Build and validate quantitative models that support decision-making across various business functions, ensuring accuracy and relevance.
- Monitor and evaluate existing models' performance, making iterative improvements based on insights and changing market conditions.
- Engage with stakeholders at all levels, providing clear communication of complex analytical findings and strategic recommendations.
- Lead virtual teams within Data & Analytics to deliver integrated outcomes that support pricing strategies and business growth.


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Benefits
Barclays offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. This includes competitive salary packages, performance-based incentives, and opportunities for career development through training and mentorship programs. Employees benefit from flexible working arrangements, health and wellness programs, pension schemes, and various employee assistance initiatives. Barclays fosters an inclusive environment that encourages innovation, collaboration, and continuous learning, ensuring every team member has the resources and support needed to thrive.
Equal Opportunity
Barclays is committed to creating a diverse and inclusive workplace where all employees are valued and respected. We believe that a diverse workforce enhances our ability to serve our clients and innovate effectively. We are an equal opportunity employer, and we do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We promote fairness and equal access to opportunities, ensuring that all colleagues can develop their careers in an environment that fosters respect, collaboration, and mutual growth.
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