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 Skill s
Demonstrating…