1872 Consulting
Lead Econometrician
Oak Brook, IL - 3 days onsite per week Job Summary
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. Essential Duties and Responsibilities
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. Requirements
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 Nice to Haves
Familiarity with machine learning integration into econometrics Exposure to IoT data or software-defined customer experiences Background working in private equity–backed companies
#J-18808-Ljbffr
Oak Brook, IL - 3 days onsite per week Job Summary
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. Essential Duties and Responsibilities
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. Requirements
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 Nice to Haves
Familiarity with machine learning integration into econometrics Exposure to IoT data or software-defined customer experiences Background working in private equity–backed companies
#J-18808-Ljbffr