Lead Econometrician

Lead Econometrician

Oak Brook, IL - 3 days onsite per week

This role is responsible for developing, implementing, and refining econometric models to assess market demand; forecasting revenue across diverse business units and markets; building a Marketing Mix Model (MMM), and building driver impact models of internal and external factors. The Lead Econometrician will provide data-driven insights that guide strategic decisions and optimize business performance. The Lead Econometrician will be the go-to expert for forecasting and interpreting complex economic indicators and have a direct impact on our team's success.

• Develop, refine, and maintain econometric models to forecast market demand and revenue, tailored to various business units and geographic markets.
• Design and implement a marketing mix model to evaluate the effectiveness and ROI of marketing investments across channels.
• Driver Impact Modeling:
  Design and implement models that explain variance due to external and internal factors to help isolate what is controllable vs. uncontrollable.
• Gather, cleanse, and integrate data from various sources; apply statistical transformations and modeling techniques; and engineer and select relevant features for analysis and model development.
• Analyze large, complex datasets to identify trends, patterns, and relationships that influence market dynamics and business outcomes.
• Partner with cross-functional teams, including marketing, finance, and product management, to ensure alignment between modeling insights and strategic objectives.
• Create simulations to test the impact of market conditions, pricing strategies, and promotional activities on revenue and market demand.
• Identify opportunities for efficiency and effectiveness in business operations by interpreting model outcomes and making actionable recommendations.
• Present findings and recommendations to senior leadership and stakeholders in a clear and actionable manner.
• Develop deep understanding of internal and external data.
• Create appropriate standards and processes to ensure quality and consistency of Decision Intelligence Group solutions.
• Direct activities of third-party contractors and consultants for specific business projects.
• Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
• Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
• Contribute to the team effort by accomplishing related results and participating on projects as needed.

• Master s (or PhD) in Economics, Statistics, Applied Math, or related
• Proven experience with econometric modeling, demand/revenue forecasting, and time-series analysis
• Hands-on expertise in Marketing Mix Modeling (MMM) and attribution
• Strong programming in Python or R plus SQL for working with large datasets
• Experience with cloud-based analytics (Azure or Databricks) and visualization tools (Power BI or Tableau)
• Ability to translate models into actionable insights for senior leadership

• Familiarity with machine learning integration into econometrics
• Exposure to IoT data or software-defined customer experiences
• Background working in private equity–backed companies