Senior Manager, Enterprise Research & Analytics

Jobtailor; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor in New York seeks a senior leader to own the enterprise customer insights agenda across Strategy, Commercial, Membership, Marketing, and Product, driving prioritized actions from data-driven research.

You will develop scalable frameworks, measurement systems, and governance; integrate qualitative and quantitative data; lead end-to-end studies; mentor the team; and translate insights into strategic recommendations for executives.

Qualifications

• 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 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 SQL.
• Experience with Qualtrics, Tableau, Power BI, Excel, and PowerPoint.

Responsibilities

• Lead enterprise research 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.

Skills

Analytical thinking

Stakeholder management

Coaching & mentorship

Communication skills

Problem solving

Predictive modeling

Statistical analysis

Python

SQL

Education

Bachelor's degree or equivalent

Tools

Qualtrics

Tableau

Power BI

Excel

PowerPoint

Python

SQL

Job description

• 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

• 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

Core Competencies

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 Expertise
• End-to-End Research Management
• Predictive Modeling and Statistical Analysis
• Proficiency in Python and SQL
• Experience with Qualtrics and Tableau

ATS Optimization Keywords

Hard Skills

• Predictive Modeling
• Regression Analysis
• Clustering
• Driver Analysis
• Forecasting
• Causal Analysis
• A/B Testing
• Survey Design
• Statistical Testing
• Experimental Design

Soft Skills

• Analytical Skills
• Communication Skills
• Stakeholder Management
• Coaching and Mentorship

Industry Keywords

• Customer Insights
• Market Research
• Analytics
• B2C
• B2B
• Data Integration
• Research Frameworks
• Governance Practices
• Voice of Customer
• Mixed-Method Research

Tools & Technologies

• Qualtrics
• Tableau
• Power BI
• Excel
• PowerPoint