Insights & Decisions Analyst - Banking

Your role

Information Technology - IT Data & Analytics - P5 - GBR

What you'll be doing

What We Need

Corpay is currently looking to hire an Insights & Decisions Analyst within our Banking business division. This position falls under our Corpay Cross-Border Line of business and is located in London. In this role, you will turn complex data into actionable insight, reliable forecasts and clear reporting that support commercial, strategic and operational decisions across the banking business. You will help strengthen visibility of commercial performance, identify revenue opportunities and emerging risks, and provide dedicated analytical ownership across multiple data sources. You will report directly to Lead Architect and regularly collaborate with Product, Technology, Finance, Commercial teams and senior stakeholders, including C-level executives.

How We Work

As an Insights & Decisions Analyst, Corpay will set you up for success by providing:

• An assigned workspace in our London office
• Company-issued equipment
• Access to online learning and development courses
• The opportunity to work with senior stakeholders on high-impact commercial, product and operational decisions
  

Role Responsibilities

• Gathering and documenting reporting and analytical requirements, agreeing with business questions, measures and acceptance criteria
• Conducting in-depth analysis across multiple data sources, identifying trends, root causes, performance drivers, risks and opportunities
• Analyzing commercial performance, including revenue, profitability, customer behavior and product adoption
• Developing forecasts, scenario models and sensitivity analysis to support commercial planning, prioritization and investment decisions
• Using Databricks, SQL and Python notebooks to build reproducible analyses and automate reporting workflows
• Producing and maintaining stakeholder-facing dashboards, clearly communicating performance, trends and priorities
• Presenting findings and recommendations to senior stakeholders, explaining assumptions, uncertainty and commercial implications
• Defining consistent metrics for measuring commercial, product and operational outcomes
• Validating data quality, investigating discrepancies and partnering with Engineering teams to resolve underlying issues
• Maintaining analytical code and notebooks in source control, documenting data sources, methods, assumptions and limitations
• Assessing initiatives against expected outcomes and recommending improvements
• Exploring practical applications of AI, including retrieval-augmented generation (RAG), to support information discovery and analysis
• Prioritising competing analytical requests, managing stakeholder expectations and delivering work to agreed deadlines
  

Qualifications & Skills

• Essential
  6+ years of experience in data analysis, with a strong ability to translate complex       data into meaningful insights and compelling stories
• Demonstrating strong commercial awareness and the ability to connecting analysis to revenue, profitability, growth and operational efficiency
• Bringing experience in analyzing commercial performance and developing forecasts to support business planning
• Gathering requirements, clarifying ambiguous questions and translating stakeholder needs into analytical deliverables
• Communicating confidently and effectively with senior stakeholders, including C-level executives
• Explaining complex findings clearly and providing practical, evidence-based recommendations
• Challenging assumptions constructively and applying sound judgement when handling sensitive commercial and customer information
• Working independently, resolving problems with incomplete information and adapting to changing priorities
• Managing competing requests, stakeholder expectations and agreed delivery deadlines

Desirable

• Bringing experience within banking, payments, financial services or another regulated environment
• Partnering with Product, Technology, Finance and Commercial teams

Technical and Analytical Skills

• Demonstrating strong SQL skills and practical experience using Databricks
• Using Python to develop and maintain reproducible analytical notebooks
• Extracting, combining and analyzing complex datasets from multiple systems
• Applying forecasting, statistical analysis, scenario modelling and sensitivity analysis
• Producing stakeholder-facing dashboards with clear, intuitive visualization of key metrics
• Using Git and platforms such as GitHub for source control, code review and collaborative working
• Validating data, reconciling discrepancies and assessing the reliability of analytical outputs
• Automating reporting and analytical workflows
• Documenting analytical logic, data lineage, assumptions and limitations clearly

Desirable

• Bringing familiarity with RAG, large language models, embeddings and vector search, including their practical applications and limitations
  

Benefits & Perks

• 25 days’ annual leave plus 8 bank holidays  
• Option to buy or sell up to 5 days of annual leave annually through the benefits enrolment window  
• Pension scheme with a minimum 3% employee contribution and up to 5% employer contribution from Corpay  
• Private Medical Insurance through Vitality with no excess payable by employees; Corpay covers the standard £250 excess charge  
• Life Insurance
• Access to the Gratitudes benefits platform, offering flexible discounts, supermarket savings of 4–5%, and a range of exclusive employee offers  
• Free access to LinkedIn Learning, with thousands of courses to support ongoing professional and personal development 

#LI-Corpay 

#LI-LM1

About Corpay

About Corpay

Corpay is a global technology organization that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.

At Corpay, we are committed to fostering an inclusive and respectful workplace where employees are valued for their diverse perspectives, experiences, and contributions. We believe that diversity, equity, and inclusion strengthen our teams, drive innovation, and support our continued success globally.

As part of our hiring process, offers of employment may be subject to the successful completion of pre-employment screening conducted by an authorized third-party provider, in accordance with applicable laws and Corpay policies. Screening requirements may include employment references, identity verification, criminal record checks, financial or sanctions screening, and other background checks relevant to the role and permitted by local law.

Notice to Recruitment Agencies and Search Firms: Corpay does not accept unsolicited resumes from agencies or search firms without a valid written agreement in place. Any unsolicited candidate submissions will become the property of Corpay, and no fees will be paid related to such submissions.

Learn more about Corpay: https://www.corpay.com

Transparency & Compliance

Equal Opportunity Employer

Corpay is committed to providing equal employment opportunities to all applicants and employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), gender, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, marital status, genetic information, military or veteran status, or any other characteristic protected by applicable law. Corpay is committed to fostering an inclusive workplace where individuals are respected and valued for their diverse perspectives, experiences, and contributions. If you require reasonable accommodation during any part of the application or interview process, please notify a representative of the Human Resources Department.

Use of Artificial Intelligence in Hiring

Corpay may use artificial intelligence (AI) and other technology-enabled tools to support certain aspects of the recruitment process, such as application screening, candidate assessment, or interview scheduling. These tools are designed to enhance efficiency, consistency, and fairness throughout the hiring process. AI tools do not make final hiring decisions. All employment decisions involve human review. Corpay is committed to the responsible use of AI, including appropriate oversight and safeguards designed to support fair and unbiased outcomes.

Candidate Privacy Notice

For information about how Corpay processes personal information during the recruitment process, please review our Candidate Privacy Notice: https://www.corpay.com/privacy-policy.

Pay Philosophy

Corpay is committed to fair, equitable, and transparent compensation practices. Compensation decisions are based on objective, job-related factors including skills, experience, qualifications, and market benchmarks. Where required by applicable law, salary or compensation ranges will be included in the job posting or provided prior to the interview process, where required by applicable law. Additional compensation elements such as bonuses, incentives, benefits, or variable pay may apply where applicable.