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Kimpton Hotels & Restaurants seeks a senior analytics partner to frame business questions, source and validate data, and deliver end-to-end analyses. You will drive insights on Global Groups & Events, translate results for executives, and collaborate with data engineering to ensure data quality and availability.
Ideal candidates will have 5+ years in business or data analytics, strong SQL, Tableau, Excel, and excellent storytelling and presentation skills to influence strategic decisions.
Partner with stakeholders to understand business needs, frame analytical questions, define success measures, and determine the data and analytical approach required.
Source, combine, clean, and validate data from multiple sources to create reliable analytical datasets.
Perform end-to-end analyses using appropriate quantitative methods to uncover trends, drivers, risks, opportunities, and actionable insights.
Develop a strong understanding of Global Groups & Events business priorities, data, and performance measures, and serve as strategic analytics partner.
Translate complex analytical results into clear recommendations and communicate them effectively to non-technical stakeholders and executives.
Partner with data engineering teams to translate business requirements, establish data-quality monitoring, and improve the availability and reliability of analytical data.
Own complex ad hoc analyses and serve as a subject-matter expert on Groups & Events Analytics.
Other job duties as assigned based on the focus of the role.
Bachelor’s degree in business, economics, statistics, mathematics, data analytics, or another relevant field, or an equivalent combination of education and work-related experience.
5+ years of progressive experience performing business analysis, data analysis, or analytics in a complex organizational environment.
Demonstrated ability to lead analytical work end to end, including clarifying stakeholder needs, defining analytical approaches, sourcing and preparing data, performing analysis, and developing actionable recommendations.
Proficiency in SQL and data manipulation techniques, including combining, transforming, validating, and analyzing data from multiple sources.
Advanced proficiency in Excel and experience with data visualization tools, including Tableau or similar platforms.
Strong analytical thinking, quantitative problem-solving skills, attention to detail, and the ability to select appropriate methods for ambiguous business questions.
Ability to translate complex analytical results into clear business implications and communicate them effectively to non-technical stakeholders and executives.
Effective written, verbal, presentation, and data-storytelling skills, including experience developing business presentations in PowerPoint.
Strong business acumen, critical thinking, intellectual curiosity, and the ability to collaborate with business stakeholders, product and technology teams, project managers, data engineers, and analytics partners.
Ability to manage multiple analytical priorities independently while maintaining accuracy, responsiveness, and a strong focus on business impact.