Economic Marketing Analyst

Job Title: Economic Marketing Analyst

Location: Oak Brook, IL

About The Company

Our client is a global leader in access solutions and smart building technology. We design and engineer innovative solutions that enhance security and convenience for homes, businesses, and industrial spaces. Our mission is to make access simple and seamless by leveraging cutting-edge technology. We are committed to fostering a culture of innovation, collaboration, and excellence, making them a great place to grow your career.

Job Summary

We are looking for a Lead Econometrician to join us in Oak Brook, IL. The ideal candidate will be a data-driven expert in econometric modeling, revenue forecasting, and marketing mix analysis. This role will involve developing, implementing, and refining econometric models to assess market demand, forecasting revenue across diverse business units and markets, and building driver impact models of internal and external factors. The Lead Econometrician will provide insights that guide strategic decisions and optimize business performance.

Key Responsibilities

• Develop, refine, and maintain econometric models to forecast market demand and revenue across various business units and geographic markets.
• Design and implement a marketing mix model to evaluate the effectiveness and ROI of marketing investments across channels.
• Develop driver impact models to differentiate controllable and uncontrollable factors affecting business performance.
• Gather, cleanse, and integrate data from various sources while applying statistical transformations, feature engineering, and modeling techniques.
• Analyze large, complex datasets to identify trends, patterns, and relationships influencing market dynamics and business outcomes.
• Collaborate 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 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 expertise in internal and external data sources.
• Establish standards and processes to ensure quality and consistency in Decision Intelligence Group solutions.
• Direct activities of third-party contractors and consultants for specific business projects.
• Comply with health and safety guidelines and ensure compliance across teams.
• Maintain professional and technical knowledge by attending educational workshops, reading professional publications, and participating in professional societies.
• Contribute to team efforts by accomplishing related tasks and participating in projects as needed.
  
  

Requirements

• Education: Master’s or Ph.D. in Economics, Statistics, Applied Mathematics, or a related quantitative discipline.
• Experience:
• 8+ years of experience in econometric modeling and applied analytics.
• Extensive experience with demand and revenue forecasting models.
• Proven expertise in time-series analysis and marketing mix modeling.
• Skills:
• Proficiency in statistical programming languages such as Python or R.
• Experience with data visualization tools such as Power BI or Tableau.
• Strong knowledge of econometric and statistical methods, including time series analysis, regression models, hypothesis testing, simulation, causal inference, and data aggregation.
• Ability to work with large and diverse datasets, leveraging SQL and other database tools.
• Strong problem-solving and critical-thinking abilities.
• Excellent verbal and written communication skills with the ability to translate complex analyses into actionable insights for non-technical stakeholders.
• Experience scaling analytics in cloud environments (e.g., Azure, Databricks).
  

Preferred Qualifications

• Familiarity with advanced machine learning techniques and their integration with econometric models.
• Experience with IoT, software-defined customer experiences, and private equity-backed companies.