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1 день назад

Lead, Decision Science Analyst (Product)

102 600 - 193 425$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead, Decision Science Analyst (Product) (SQL/Python, Experimentation): Translating product, marketing, and business data into strategic insights through causal inference, experimentation, and exploratory analytics with an accent on A/B testing, KPI development, and growth analysis. Focus on designing valid experiments, quantifying business impact, and guiding cross-functional stakeholders with rigorous statistical analysis and clear recommendations.

Location: Oak Brook, Illinois, United States; hybrid work

Salary: $102,600–$193,425 annual base pay, plus benefits, 401k contribution, and eligibility for a short-term incentive plan.

Company

hirify.global Group develops intelligent access products and services powered by myQ technology for homeowners, businesses, and communities worldwide.

What you will do

  • Conduct exploratory, diagnostic, and causal analyses to identify behavioral drivers, growth opportunities, and the business impact of initiatives.
  • Design, analyze, and interpret A/B tests and quasi-experiments, ensuring test validity and clear analytical readouts.
  • Develop, measure, and monitor product and customer KPIs with Product, Finance, Marketing, and Engineering partners.
  • Identify leading indicators, behavioral trends, and segmentation opportunities to guide product and business strategy.
  • Translate complex analytical results, uncertainty, assumptions, and tradeoffs into actionable recommendations for senior stakeholders.
  • Provide guidance to associate and senior analysts on analytics best practices, experimental design, and statistical rigor.

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 comparable visualization tools.
  • 2+ years applying experimentation and causal inference methods, including A/B tests and quasi-experiments.
  • Exceptional SQL skills and experience extracting, manipulating, integrating, and analyzing complex datasets.
  • Strong communication, presentation, problem-solving, project leadership, and cross-functional collaboration skills.

Nice to have

  • MBA or master’s degree in a related field.
  • Experience with Azure, Databricks, data warehouses, data modeling, and semantic data layers.
  • Experience with IoT, SaaS, intelligent consumer products, mobile applications, or customer-facing digital experiences.
  • Experience with Salesforce, SAP, Tealium, Jira, and web-based data visualizations.

Culture & Benefits

  • Cross-functional collaboration with Product, Engineering, Marketing, and Finance leaders.
  • Comprehensive benefits package and 401k contribution, subject to eligibility requirements.
  • Eligibility for participation in a short-term incentive plan.
  • Equal opportunity workplace committed to inclusion and accessibility.

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