1 день назад
Lead Decision Science Analyst (Product Analytics)
102 600 - 193 425$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Decision Science Analyst (Product Analytics): Translating large-scale product, marketing, and business data into strategic insights with an accent on causal inference, experimentation, and exploratory analytics. Focus on designing A/B tests, quantifying initiative impact, developing KPIs, and communicating data-driven recommendations to cross-functional senior stakeholders.
Location: Oak Brook, Illinois, United States; hybrid work arrangement
Salary: $102,600–$193,425 per year, plus benefits, 401(k) contribution, and eligibility for a short-term incentive plan.
Company
Group develops intelligent access solutions powered by myQ technology, with LiftMaster and brands serving homes, businesses, and communities worldwide.
What you will do
- Partner with Product, Engineering, Marketing, and Finance leaders to understand strategies, initiatives, and success KPIs.
- Conduct exploratory, diagnostic, and causal analyses to identify behavioral drivers, growth levers, and business impact.
- Design, analyze, and interpret A/B tests and quasi-experiments while ensuring test validity and clear readouts.
- Develop, measure, and monitor product and customer KPIs, leading indicators, behavioral trends, and segmentation opportunities.
- Translate technical findings, uncertainty, assumptions, tradeoffs, and limitations into clear recommendations and visualizations for senior stakeholders.
- Use SQL and Python to analyze large datasets, ensure data integrity, and guide associate and senior analysts on analytics and experimental design best practices.
Requirements
- Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or a related field with significant analytical coursework.
- 5+ years of relevant analytics experience, preferably in product, marketing, or growth analytics.
- 2+ years of experience building dashboards and reports with Power BI, Tableau, or similar visualization tools.
- Experience with Python and exceptional SQL skills for extracting and manipulating complex datasets.
- 2+ years applying experimentation and causal inference methods, including A/B tests and quasi-experiments, in product or marketing contexts.
- Strong project leadership, problem-solving, strategic planning, communication, and presentation skills.
Nice to have
- MBA or master’s degree in a related field.
Culture & Benefits
- Cross-functional collaboration with Product, Engineering, Marketing, Finance, and internal and external business partners.
- Comprehensive benefits package, subject to eligibility requirements.
- 401(k) contribution and participation in a short-term incentive plan, subject to applicable plans and policies.
- Inclusive equal-opportunity workplace with accommodations available during the application process.
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