Lead Econometrician

Job Title: Lead Econometrician

Location: Hybrid – Oak Brook, IL

About The Company

We are a global technology and manufacturing leader known for designing and engineering innovative access solutions that improve safety, convenience, and efficiency in homes, businesses, and industries. Our teams are driven by data, technology, and a passion for advancing smart, connected products that make everyday life easier and more secure.

Job Summary

The Lead Econometrician will serve as the organization’s subject-matter expert on econometric modeling and forecasting, developing advanced models to assess market demand, forecast revenue, and quantify the drivers of business performance. This role will build and maintain a Marketing Mix Model (MMM), lead driver impact modeling to differentiate controllable vs. uncontrollable factors and deliver data-driven insights that shape strategic and operational decisions across business units.

Key Responsibilities

• Develop, refine, and maintain econometric models to forecast market demand and revenue across business units and markets.
• Design and implement a Marketing Mix Model to measure the ROI and effectiveness of marketing investments.
• Build driver impact models that isolate the effects of internal and external factors on business outcomes.
• Gather, cleanse, and integrate large datasets from multiple sources for modeling and analysis.
• Apply advanced econometric and statistical techniques (time series, regression, simulation, causal inference) to identify key market dynamics.
• Partner with Marketing, Finance, and Product teams to translate modeling insights into actionable business strategies.
• Create simulations to test pricing strategies, market conditions, and promotional scenarios.
• Present forecasts, findings, and recommendations to senior leadership in clear, business-oriented terms.
• Establish and maintain modeling standards and best practices to ensure consistency and quality across the Decision Intelligence group.
• Direct third-party consultants and contractors on specific modeling projects as needed.
  
  

Requirements

• Master’s or Ph.D. in Economics, Statistics, Applied Mathematics, or a related quantitative discipline.
• 5 years of hands-on experience in econometric modeling and applied analytics.
• Proven expertise in demand forecasting, revenue modeling, and marketing mix modeling.
• Strong proficiency in Python or R for statistical programming.
• Experience with visualization tools such as Power BI or Tableau.
• Expert-level understanding of time series analysis, regression, hypothesis testing, simulation, and causal inference.
• Proficiency in SQL and working with large, complex datasets.
• Excellent communication skills with the ability to present technical findings to non-technical stakeholders.
• Experience building and deploying analytics solutions in cloud environments (Azure, Databricks).
  
  

Preferred Qualifications

• Experience integrating econometric models with machine learning techniques.
• Background in IoT, connected devices, or software-defined customer experiences.
• Exposure to private equity–backed or high-growth environments.
  
  

Benefits

Competitive compensation, performance-based incentives, comprehensive health benefits, 401(k) with company match, paid time off, and opportunities for professional growth and development within a data-driven, innovation-focused organization.