Manager/Senior Manager, Building Products Research

John Burns Research and Consulting (JBREC) is a leading provider of independent research and consulting services informing major decisions across the U.S. housing industry. The Manager / Senior Manager of Building Products Research will oversee the development of innovative data-driven products and deliver rigorous economic and market analysis while guiding other researchers and collaborating with various teams within JBREC.

Responsibilities:

• Direct and perform sophisticated economic, statistical, and market analyses, including forecasting, industry modeling, and segmentation analysis
• Use programming languages (e.g., R, Python, SQL) to lead analysis of large datasets and deliver clear, actionable insights
• Lead, mentor, and develop other research team members, providing guidance on analytical methods, project execution, and professional growth
• Serve as a key liaison between the Building Products team and other JBREC departments, ensuring seamless integration of research, forecasting, and consulting outputs
• Foster a collaborative, supportive team culture centered on analytical rigor, curiosity, and excellence
• Ensure methodological accuracy and quality control across our data architecture, including surveys and proprietary data sources
• Respond to ad hoc requests with high-quality, well-documented analysis, visualizations, and strategic recommendations
• Present research findings to clients, executive audiences, industry associations, and conference groups
• Support business development through expert insights, relationship building, and participation in industry events

Requirements:

• Bachelor's degree in Economics, Statistics, Mathematics, Business, or a related field required; advanced degree strongly preferred
• 5–7+ years of professional experience in building products, housing/real estate, economic research, survey research, or related analytical fields
• Demonstrated experience managing analytical teams and leading complex research initiatives
• Strong quantitative and analytical background, including knowledge of statistical concepts such as sampling, regression diagnostics, distributions, and significance testing
• Proficiency in programming languages such as R and/or Python, SQL, or SAS, along with advanced Excel skills
• Experience analyzing large-scale datasets and translating findings into actionable business insights
• Exceptional verbal and written communication skills, with the ability to present complex information clearly and effectively
• Proven ability to influence cross-functional teams and build alignment among diverse stakeholders
• Strong project management and organizational skills, with the ability to manage multiple priorities and deliver high-quality work in a fast-paced environment
• Exceptional attention to detail, accuracy, accountability, and follow-through
• Collaborative leadership style with strong decision-making, problem-solving, and interpersonal skills
• Forward-thinking and adaptable mindset, including openness to AI-driven and automated solutions that improve efficiency and analytical capabilities
• Naturally curious and intellectually agile, with a passion for uncovering insights that inform business and market strategy
• Advanced expertise in technical programming and analytics tools, including R (preferred), Python, SQL, SAS, and advanced modeling or automation techniques
• Experience developing advanced statistical models, forecasting methodologies, or automated analytical workflows
• Experience working with complex survey data, large relational databases, or enterprise-scale data environments
• Advanced degree in Economics, Statistics, Data Science, Business Analytics, or a related quantitative discipline