Corpay is currently looking to hire a Senior Analytics Consultant to join our Global Lodging Data Strategy team. This position falls under our Lodging line of business and is located in Dublin, IRL. In this role, you will help shape how the Lodging business uses data, analytics, and AI to uncover opportunities, improve decisions, strengthen customer experiences, and create scalable insight-driven products and capabilities. You will work across functional areas to harness Corpay’s data capabilities and catalyze measurable customer, commercial, and operational value. The ideal candidate is more than a dashboard builder. You will be part consultant, part analytics evangelist, part product thinker, and part business partner. Curious about customers, credible with technical teams, trusted by business stakeholders, and motivated by measurable outcomes. You will find important questions, uncover valuable opportunities, and help teams turn insights into action. You will report directly to the VP Data Strategy and regularly collaborate with the wider Data and Product team, and senior leaders across lodging.
How We Work
As a Senior Analytics Consultant, Corpay will set you up for success by providing:
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Assigned workspace in our designated Dublin office location
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Company-issued equipment
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Formal, hands-on training
Role Responsibilities
The responsibilities of the role will include:
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Identifying high-value opportunities where data, analytics, and AI can improve customer outcomes, commercial performance, and operational effectiveness.
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Building trusted relationships across Product, Sales, Account Management, Operations, and Data teams to understand priorities, pain points, and decision-making needs. Advance data and analytics literacy across these teams, and help accelerate our collective analytic ambition.
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Conducting customer, market, competitor, partner, and potential partner conversations and other research to uncover new insight-led opportunities.
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Translating business questions and customer needs into clear analytical problem statements, hypotheses, success measures, and solution paths.
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Shaping and prioritize the Lodging analytics and AI opportunity funnel, moving ideas from early discovery to well-framed initiatives.
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Partner with Product Managers and technical teams to transition opportunities into requirements, solution design, and delivery workflows.
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Leading discovery, stakeholder alignment, and early-stage solution shaping where needed.
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Supporting the evolution of insight consumption channels, including BI tools, embedded analytics, reporting experiences, and AI-enabled interaction models.
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Contribute product thinking to capabilities such as semantic layers, governed business metrics, data product usability, and scalable insight delivery.
What We Need
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5+ years of customer-facing experience in analytics consulting, product management, management consulting, or a related field.
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Experience in lodging or travel (preferred), payments, fintech, financial services, B2B platforms, or other data-intensive commercial environments.
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A strong track record of using data and analytics to solve meaningful business, customer, or operational problems.
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Deep experience working cross-functionally with Product, Sales, Engineering, Data and Analytics teams.
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Strong consultative skills, including discovery, stakeholder interviewing, prioritization, business case development, and executive communication.
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Ability to translate ambiguous business needs into clear analytical opportunities, product concepts, requirements, and measurable outcomes.
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Experience developing or supporting data products, embedded analytics, customer-facing insights, or AI-enabled product capabilities.
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Hands-on experience with AWS SageMaker Unified Studio, SQL, Python, BI tools (Tableau, PowerBI, Domo), and data science tools (e.g., AWS SageMaker).
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Excellent written and verbal communication skills, with the ability to make complex topics clear for both technical and non-technical audiences.
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Ability to influence without direct authority and create structure around new ideas, business problems, and emerging opportunities.
Nice to Have
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Proficiency with modern data platforms, data products, semantic layers, and analytical consumption patterns.
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Familiarity with MCP, AI agents, natural-language analytics, and other emerging patterns for AI-enabled data consumption.
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Experience defining semantic models, metric layers, business glossaries, or governed analytical frameworks.
What Success Looks Like
In the first 6–12 months, you will have:
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Built strong relationships across the Lodging business and become a trusted partner to the functional teams they support.
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Created a clear pipeline of high-value analytics, data product, and AI opportunities.
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Moved priority ideas from early discovery into well-framed product, analytics, or business initiatives.
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Improved how teams define, consume, and act on business insights.
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Demonstrated measurable impact through better decisions, stronger customer value, revenue opportunities, operational efficiencies, or improved adoption of data capabilities.
What We Offer
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Competitive salary of €95-105K, based on experience
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Paid annual leave plus public holidays
- Country specific benefits, which can vary from country to country, but usually cover life insurance, pension, health and wellbeing plans.
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Free access to LinkedIn Learning, with thousands of courses to support ongoing professional and personal development
#LI-Corpay
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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.
