Senior Manager, Enterprise Research & Analytics

The Leading Hotels of the World

Senior Manager leading enterprise customer research and analytics for a global luxury hotel collection. Integrating customer, market, and commercial data to guide strategic decisions and growth.

Posted 8/5/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $118,000 - $135,000 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in customer analytics and research methodologies, with a strong focus on integrating diverse data sources to drive actionable insights and strategic initiatives. Proficient in leading end-to-end research programs and mentoring teams to enhance research capabilities.

Highest-signal resume keywords

Customer Analytics ExpertiseEnd-to-End Research ManagementPredictive Modeling and Statistical AnalysisProficiency in Python and SQLExperience with Qualtrics and Tableau

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingRegression AnalysisClusteringDriver AnalysisForecastingCausal AnalysisA/B TestingSurvey DesignStatistical TestingExperimental Design

Soft Skills

Analytical SkillsCommunication SkillsStakeholder ManagementCoaching and Mentorship

Tools & Technologies

QualtricsTableauPower BIExcelPowerPoint

Industry Keywords

Customer InsightsMarket ResearchAnalyticsB2CB2BData IntegrationResearch FrameworksGovernance PracticesVoice of CustomerMixed-Method Research

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Lead and prioritize the enterprise research agenda across Corporate Strategy, Commercial, Membership, Marketing, and Product
Develop and maintain research frameworks, customer measurement systems, scalable insight products, research standards, methodologies, and governance practices
Serve as the organization's subject matter expert in customer analytics
Lead and manage Voice of Customer programs across B2C and B2B audiences
Integrate survey, behavioral, transactional, operational, and market data to understand customers and commercial performance
Develop and manage closed-loop feedback processes that drive prioritized actions and measurable improvements
Lead end-to-end custom research and analytics initiatives, including study design, analytical approach, vendor management, analysis, and delivery of insights
Apply qualitative, quantitative, and mixed-method research approaches
Conduct predictive modeling, regression analysis, clustering, driver analysis, forecasting, causal analysis, A/B testing, quasi-experimental analysis, and pilot-program evaluation
Evaluate and apply AI and machine learning techniques
Partner with senior stakeholders to frame business problems, define hypotheses, and support strategic initiatives
Translate complex customer, market, and performance data into actionable insights and business recommendations
Partner with Business Intelligence, Data, and IT teams to connect customer insights with performance data and integrate customer data sources
Lead and develop the Customer Research Analyst through coaching, mentorship, and ongoing development
Provide guidance on research methodologies and support collaboration and professional development

Requirements

What you’ll need

Bachelor's degree or equivalent combination of education and experience
7+ years of experience in customer insights, market research, analytics, or a related field
Experience leading enterprise research programs across multiple business functions
Experience leading end-to-end research and analytics initiatives, including study design, vendor management, analysis, and delivery of actionable insights
Experience integrating qualitative research, survey data, customer behavior, and commercial performance data
Advanced knowledge of qualitative, quantitative, and mixed-method research methodologies
Knowledge of survey design, segmentation, conjoint analysis, statistical testing, and experimental design
Strong analytical and statistical capabilities
Experience with predictive modeling, regression analysis, clustering, driver analysis, forecasting, causal analysis, and experimentation
Proficiency in Python and/or R
Strong SQL skills and experience analyzing large transactional, behavioral, CRM, and operational datasets
Experience with Qualtrics or a comparable enterprise research platform
Proficiency with Tableau, Power BI, Excel, and PowerPoint
Experience applying AI and machine learning techniques
Excellent analytical, communication, and stakeholder management skills
Ability to translate complex data into clear, actionable business recommendations

Benefits

Comp & perks

22 days of Paid Time Off (PTO)
11 paid holidays, including birthdays as a floating holiday
Medical coverage available within the first month
Health Savings Account (HSA) with Company contribution
401(k) company match up to 4% of salary
Up to $500 for home office setup credit
Up to $500 travel credit
Unlimited access to financial advisors
Collaborative and inclusive work environment
Target Annual Incentive bonus: 10%