Jobs › Chamberlain Group

Lead Decision Science Analyst

Chamberlain Group · Oak Brook, IL · $102,600–$193,425 a year · Full time

Posted Sep 16, 2026 · We last checked this listing on Oct 5, 2026

Apply at Chamberlain Group

Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time your analysis changed a decision a senior leader had already made up their mind about.

What they are checking: Influence and communication skill, which the posting stresses as heavily as statistical rigor.

Tell me about a deep exploratory analysis where you found a growth lever nobody had asked about.

What they are checking: Curiosity and business sense, and whether they turn exploration into something a leader can act on.

How do you present uncertainty to an executive who wants a yes or no?

What they are checking: Whether they can be honest about confidence levels without making the recommendation useless.

What would you do

A product leader wants to launch a feature to everyone and skip the experiment. How do you respond?

What they are checking: Whether they can make the case for rigor in business terms and also know when a test is not worth it.

How do you pick which questions to work on when Product, Marketing, Engineering and Finance all want your time?

What they are checking: Whether they prioritize by business impact and shared KPIs rather than by who asks loudest.

Your experiment shows a feature lifted engagement but hurt subscription revenue a little. What do you recommend?

What they are checking: Whether they can weigh competing metrics and frame a tradeoff clearly instead of reporting numbers and stepping back.

What do you do when the data you need is messy, incomplete or owned by another team?

What they are checking: Practical resourcefulness and judgment about when data is good enough to support a decision.

About the work

Tell me about an analysis where you established that something caused an outcome, not just that the two moved together. How did you get there?

What they are checking: Real command of causal inference rather than correlation dressed up as insight.

How would you design an experiment to test a change in the myQ app when you cannot randomize at the user level cleanly?

What they are checking: Whether they know alternatives like cluster randomization or quasi-experiments when a clean A/B test is not possible.

Walk me through how you would decide sample size and test duration for an experiment with a small expected effect.

What they are checking: Grasp of statistical power and the cost of underpowered tests that waste time and mislead decisions.

How do you guard against peeking at results early or testing many metrics until one looks significant?

What they are checking: Awareness of common experimentation errors that produce false wins and erode trust in the team.

Practice this interview out loud.

Offer builds a real interview for this exact role at Chamberlain Group from your resume and this job description, asks the questions one at a time, and tells you what landed. The first one is free.

Practice this out loud

The full job description

As published by Chamberlain Group.

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. 
 Job Summary 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. Other: 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 • 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. Other: Preferred Qualifications Education/Certifications: • MBA or Master’s degree in a related field #LI-Hybrid #LI-JM2 
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. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.

 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.

Apply at Chamberlain Group