Lead, Decision Science Analyst (Marketing)
Senior General Marketing role at Chamberlain Group (CG). Oak Brook · full-time · $102,600–$193,425 base.
Growth Roles summary, based on the employer's posting.
What you'll do
- You’ll investigate behavior and business drivers through exploratory, diagnostic, and causal analysis
- You’ll plan and assess A/B tests, checking validity and explaining results clearly
- You’ll define and track product or customer KPIs with product and finance partners
- You’ll turn technical findings into recommendations, visuals, and stakeholder readouts
- You’ll use SQL and Python to work with large datasets and protect data quality
What you bring
- A bachelor’s degree in business analytics, statistics, mathematics, econometrics, engineering, or a related field with substantial analytical study
- At least five years in analytics, preferably focused on product, marketing, or growth
- At least two years creating dashboards and reports with Power BI, Tableau, or similar visualization platforms
- At least two years applying A/B testing and causal methods, including quasi-experiments, in product or marketing settings
- Advanced SQL skills, complex-data experience, strong communication, and a record of leading projects and cross-functional teams
Who this fits
You’ll thrive if you can combine statistical rigor with business judgment, explain uncertainty to nontechnical leaders, and lead work independently across Product, Engineering, Marketing, and Finance. The role suits someone comfortable with ambiguity, cross-functional projects, and guiding other analysts. It is a full-time position based in Oak Brook, United States, with no work arrangement stated.
From the employer
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.

The Lead Decision Science Analyst translates data into strategic insights that directly influence product, marketing, and business decisions. This role focuses on causal inference, experimentation, and deep exploratory analytics to answer complex business questions. The Lead Decision Science Analyst will partner closely with cross functional leaders from Product, Engineering, Marketing, and Finance to design experiments, evaluate impact, uncover growth opportunities, and provide recommendations that drive measurable business outcomes. Success requires strong business acumen, statistical rigor, and exceptional communication skills.
Essential Duties and 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.
Conduct deep exploratory, diagnostic, and causal analyses to understand drivers of behavior, identify levers for growth, and quantify the business impact of initiatives
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.
Identify leading indicators, behavioral trends, and segmentation opportunities to guide strategy.
Translate technical results into clear recommendations for senior stakeholders using verbal and written analytic insights, compelling visualizations, and data-driven recommendations.
Communicate uncertainty, assumptions, tradeoffs, and limitations to non‑technical stakeholders.
Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets.
Develop a deep understanding of relevant data from various data platforms.
Translate complex business requirements into analytical frameworks.
Ensure data accuracy and integrity in all analytics and reporting.
Provide guidance to associate and senior analysts with analytics best practices, experimental design, and statistical rigor.
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:
Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework
Experience:
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
2+ years applying experimentation and causal inference methods (A/B tests, quasi‑experiments) in product or marketing contexts.
Knowledge, Skills, and Abilities:
Ability to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment.
Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
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
Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights.
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.
Preferred Qualifications
Education/Certifications:
MBA or Master’s degree in a related field
Experience:
Experience with Azure (or other cloud environments) and Databricks
Understanding of data warehouse/data modeling concepts and procedures
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
Experience building and creating web-based data visualizations.
Experience creating temporary semantic data layers that support organizational self-service analytics within Azure Cloud architecture.
Knowledge, Skills, and Abilities:
Understanding of data warehouse/data modeling concepts and procedures
Strong understanding of financial concepts and analytics
Working with a software/technology organization
Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.
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