обновлено 20 дней назад
Senior Analytics Consultant (AI)
95 000 - 105 000€
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Consultant (AI): Shaping analytics, data product, and AI opportunities for Corpay’s Lodging business with an accent on customer insight, commercial performance, operational effectiveness, and scalable insight delivery. Focus on translating ambiguous business needs into analytical problem statements, prioritizing opportunity funnels, and partnering with Product and technical teams on semantic layers, governed metrics, embedded analytics, and AI-enabled capabilities.
Location: Dublin, Ireland; assigned workspace in the designated Dublin office
Salary: €95,000–€105,000 per year, based on experience
Company
is a global technology organization providing commercial payment solutions for fuel, general payables, toll, and lodging expenses across more than 80 countries.
What you will do
- Identify high-value opportunities where data, analytics, and AI can improve customer outcomes, commercial performance, and operational effectiveness.
- Build relationships with Product, Sales, Account Management, Operations, Data, and Analytics teams to understand priorities and decision-making needs.
- Conduct customer, market, competitor, partner, and potential partner research to uncover insight-led opportunities.
- Translate business questions into analytical problem statements, hypotheses, success measures, requirements, and solution paths.
- Shape and prioritize the Lodging analytics and AI opportunity funnel from discovery through initiative definition and delivery workflows.
- Support BI tools, embedded analytics, reporting experiences, semantic layers, governed metrics, data product usability, and AI-enabled interaction models.
Requirements
- 5+ years of customer-facing experience in analytics consulting, product management, management consulting, or a related field.
- Experience using data and analytics to solve meaningful business, customer, or operational problems.
- Strong cross-functional experience with Product, Sales, Engineering, Data, and Analytics teams.
- Consultative skills in discovery, stakeholder interviewing, prioritization, business case development, and executive communication.
- Hands-on experience with AWS SageMaker Unified Studio, SQL, Python, BI tools such as Tableau, Power BI, or Domo, and data science tools.
- Ability to influence without direct authority and communicate complex topics clearly to technical and non-technical audiences.
Nice to have
- Experience in lodging or travel, payments, fintech, financial services, B2B platforms, or other data-intensive commercial environments.
- Knowledge of modern data platforms, data products, semantic layers, and analytical consumption patterns.
- Familiarity with MCP, AI agents, natural-language analytics, and other AI-enabled data consumption patterns.
- Experience defining semantic models, metric layers, business glossaries, or governed analytical frameworks.
Culture & Benefits
- Paid annual leave and public holidays.
- Country-specific benefits that may include life insurance, pension, health, and wellbeing plans.
- Company-issued equipment and formal hands-on training.
- Free access to LinkedIn Learning and professional development courses.
- Inclusive workplace focused on diverse perspectives, innovation, and respectful collaboration.
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