Chamberlain

Chamberlain

Lead, Decision Science Analyst (Product)

Oak Brook, IL · Contract

Sponsorship not specified$103k-$193kDetected 14 days ago
PythonSQLDatabricksAzureCloud PlatformsData VisualizationStatisticsA/B TestingProject ManagementJiraSalesforceSAPExperimental DesignCommunicationCollaborationProblem Solving

About the role

  • Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company.
  • Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide.
  • Our flagship brands, LiftMaster® and Chamberlain®, are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.

Responsibilities

  • Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
  • Design, analyze, and interpret A/B tests and other causal inference approaches; ensure test validity and clear readouts.
  • Develop, measure, and monitor product or customer KPIs in collaboration with product managers and finance partners.
  • Develop a deep understanding of relevant data from various data platforms.
  • Provide guidance to associate and senior analysts with analytics best practices, experimental design, and statistical rigor.

Requirements

  • Bachelor's degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework
  • 2+ years applying experimentation and causal inference methods (A/B tests, quasi‑experiments) in product or marketing contexts.
  • Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights.
  • 5+ years of relevant work experience in an analytics role, preferably in product, marketing, or growth analytics
  • 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools

Nice to have

  • MBA or Master's degree in a related field
  • Experience with Azure (or other cloud environments) and Databricks
  • Experience creating calculated metrics, managing and blending data models within Power BI
  • Experience with IoT, SaaS, and/or intelligent consumer products & services
  • Experience working with customer-facing digital experiences, including end-to-end customer acquisition and engagement processes within mobile applications or parallel platforms.
  • Experience with Salesforce, SAP, and CDP platforms such as Tealium
  • Experience with Project Management/Tracking tools such as Jira
  • Knowledge, Skills, and Abilities:

Skills

  • Ability to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment.
  • Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
  • Strong understanding of business processes and strategic planning
  • Proven track record of leading projects and cross-functional teams
  • Strong problem-solving skills and the ability to think analytically.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Understanding of data warehouse/data modeling concepts and procedures
  • Strong understanding of financial concepts and analytics
  • Working with a software/technology organization

Compensation

  • The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience.

Benefits

  • 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.

This listing is sourced directly from Chamberlain's careers page and normalized into a canonical job model.