Lead Econometrician

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Chamberlain Group is a global leader in access solutions with top brands, such as LiftMaster and Chamberlain, found in millions of homes, businesses, and communities worldwide. 

As a leader in the Smart Home industry, we boast one of the largest IoT install bases, with innovative products consisting of cameras, locks, card readers, garage door openers, gates and more, all powered by our myQ digital ecosystem. 

We are seeking a highly skilled and visionary Lead Econometrician to join our team. This pivotal role will focus on developing, implementing, and refining econometric models to assess market demand, forecast revenue across diverse business units and markets, build a Marketing Mix Model (MMM), and ultimately build a driver impact model of internal and external factors. As a key contributor to our analytics team, you will provide data-driven insights that guide strategic decisions and optimize business performance. The Lead Econometrician will be the go-to expert for forecasting with a front seat to navigate our rapidly growing business and have a direct impact on our success.

Essential Duties and Responsibilities

• Econometric Modeling: Develop, refine, and maintain econometric models to forecast market demand and revenue, tailored to various business units and geographic markets.

• Marketing Mix Modeling: 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.

• Solution Development: Data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection.

• Data Analysis: Analyze large, complex datasets to identify trends, patterns, and relationships that influence market dynamics and business outcomes.

• Collaboration: Partner with cross-functional teams, including marketing, finance, and product management, to ensure alignment between modeling insights and strategic objectives.

• Scenario Simulation: Create simulations to test the impact of market conditions, pricing strategies, and promotional activities on revenue and market demand.

• Optimization: Identify opportunities for efficiency and effectiveness in business operations by interpreting model outcomes and making actionable recommendations.

• Reporting and Communication: 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.

• Protect Chamberlain Group’s reputation by keeping information confidential.

• 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.

Minimum Qualifications

Education/Certifications:

• Master’s or Ph.D. in Economics, Statistics, Applied Mathematics, or a related quantitative discipline.

Experience:

• 8+ years of relevant work experience

• At least 8 years of experience in econometric modeling and applied analytics.

• Demonstrated expertise in building demand and revenue forecasting models.

• Extensive experience with time-series analysis

• Experience in marketing mix modeling and attribution.

Knowledge, Skills, and Abilities:

• Proficient in statistical programming languages such as Python or R.

• Experience with data visualization tools such as Power BI or Tableau.

• Expert knowledge of econometric and statistical methods, including time series analysis, regression models, hypothesis testing, simulation, causal inference, and data