{"id":3273945,"url":"https://alion.io/job/corpay-insights-decisions-analyst-banking","title":"Insights & Decisions Analyst (Banking)","company":{"id":3570,"name":"Corpay","domain":"corpay.com","url":"https://alion.io/company/corpay","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":11,"ghost_share":0,"stale_share":0.364,"repost_share":0.091,"time_to_fill_p50_days":28,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":126000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":68},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Embeddings","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-10-25T00:00:00Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-27T01:07:46Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Your role\nInformation Technology - IT Data & Analytics - P5 - GBRWhat you'll be doing\nWhat We Need\nCorpay 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.\nHow We Work\nAs an Insights & Decisions Analyst, Corpay will set you up for success by providing:\nAn assigned workspace in our London office\nCompany-issued equipment\nAccess to online learning and development courses\nThe opportunity to work with senior stakeholders on high-impact commercial, product and operational decisions\nRole Responsibilities\nGathering and documenting reporting and analytical requirements, agreeing with business questions, measures and acceptance criteria\nConducting in-depth analysis across multiple data sources, identifying trends, root causes, performance drivers, risks and opportunities\nAnalyzing commercial performance, including revenue, profitability, customer behavior and product adoption\nDeveloping forecasts, scenario models and sensitivity analysis to support commercial planning, prioritization and investment decisions\nUsing Databricks, SQL and Python notebooks to build reproducible analyses and automate reporting workflows\nProducing and maintaining stakeholder-facing dashboards, clearly communicating performance, trends and priorities\nPresenting findings and recommendations to senior stakeholders, explaining assumptions, uncertainty and commercial implications\nDefining consistent metrics for measuring commercial, product and operational outcomes\nValidating data quality, investigating discrepancies and partnering with Engineering teams to resolve underlying issues\nMaintaining analytical code and notebooks in source control, documenting data sources, methods, assumptions and limitations\nAssessing initiatives against expected outcomes and recommending improvements\nExploring practical applications of AI, including retrieval-augmented generation (RAG), to support information discovery and analysis\nPrioritising competing analytical requests, managing stakeholder expectations and delivering work to agreed deadlines\nQualifications & Skills\nEssential 6+ years of experience in data analysis, with a strong ability to translate complex data into meaningful insights and compelling stories\nDemonstrating strong commercial awareness and the ability to connecting analysis to revenue, profitability, growth and operational efficiency\nBringing experience in analyzing commercial performance and developing forecasts to support business planning\nGathering requirements, clarifying ambiguous questions and translating stakeholder needs into analytical deliverables\nCommunicating confidently and effectively with senior stakeholders, including C-level executives\nExplaining complex findings clearly and providing practical, evidence-based recommendations\nChallenging assumptions constructively and applying sound judgement when handling sensitive commercial and customer information\nWorking independently, resolving problems with incomplete information and adapting to changing priorities\nManaging competing requests, stakeholder expectations and agreed delivery deadlines\nDesirable\nBringing experience within banking, payments, financial services or another regulated environment\nPartnering with Product, Technology, Finance and Commercial teams\nTechnical and Analytical Skills\nDemonstrating strong SQL skills and practical experience using Databricks\nUsing Python to develop and maintain reproducible analytical notebooks\nExtracting, combining and analyzing complex datasets from multiple systems\nApplying forecasting, statistical analysis, scenario modelling and sensitivity analysis\nProducing stakeholder-facing dashboards with clear, intuitive visualization of key metrics\nUsing Git and platforms such as GitHub for source control, code review and collaborative working\nValidating data, reconciling discrepancies and assessing the reliability of analytical outputs\nAutomating reporting and analytical workflows\nDocumenting analytical logic, data lineage, assumptions and limitations clearly\nDesirable\nBringing familiarity with RAG, large language models, embeddings and vector search, including their practical applications and limitations\nBenefits & Perks\n25 days’ annual leave plus 8 bank holidays \nOption to buy or sell up to 5 days of annual leave annually through the benefits enrolment window \nPension scheme with a minimum 3% employee contribution and up to 5% employer contribution from Corpay \nPrivate Medical Insurance through Vitality with no excess payable by employees; Corpay covers the standard £250 excess charge \nLife Insurance\nAccess to the Gratitudes benefits platform, offering flexible discounts, supermarket savings of 4-5%, and a range of exclusive employee offers \nFree access to LinkedIn Learning, with thousands of courses to support ongoing professional and personal development \n#LI-Corpay\nAbout Corpay\nAbout Corpay\nCorpay 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.\nAt 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.\nAs 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.\nNotice 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.\nLearn more about Corpay: https://www.corpay.com\nTransparency & Compliance\nEqual Opportunity Employer\nCorpay 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.\nUse of Artificial Intelligence in Hiring\nCorpay 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.\nCandidate Privacy Notice\nFor information about how Corpay processes personal information during the recruitment process, please review our Candidate Privacy Notice: https://www.corpay.com/privacy-policy.\nPay Philosophy\nCorpay 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. 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