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3 часа назад

Lead Data Analyst (SaaS)

102 800 - 128 500$
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

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TL;DR

Lead Data Analyst (SaaS): Leading data initiatives to drive customer acquisition, engagement, and retention for key customer segments with an accent on product growth and financial storytelling. Focus on architecting analytical frameworks, leading A/B experimentation cycles, and conducting deep-dive root cause investigations.

Location: Hybrid (Waltham or Boston, MA)

Salary: $102,800 - $128,500 USD

Company

A SaaS platform empowering business owners, entrepreneurs, and non-profits to grow online through marketing and automation tools.

What you will do

  • Partner with the General Manager to lead data initiatives bridging Product, Engineering, and Marketing.
  • Conduct deep-dive root cause investigations into metric shifts to uncover technical bugs or UX friction and inform product strategy.
  • Design and standardize analytical frameworks for evaluating product growth and user behavior.
  • Manage the full A/B experimentation lifecycle from power analysis and hypothesis design to causal inference and rollout.
  • Collaborate with FP&A to connect product outcomes to revenue, LTV, and segment-level P&L impact.
  • Mentor other analysts and drive a culture of high-signal data storytelling and AI-enhanced workflows.

Requirements

  • Must be based in or able to work from Waltham or Boston, MA (Hybrid)
  • 6-8+ years of experience in Product Growth, Marketing Analytics, or Data Science, preferably in SaaS.
  • Expert-level SQL and proficiency with Product Analytics tools like GA4 or Amplitude.
  • Strong experience with A/B testing tools (Optimizely, Statsig) and statistical methods including p-values and confidence intervals.
  • Proficiency with Python and dashboarding tools such as Tableau or Power BI.
  • Experience leveraging modern AI tools (Cursor, Claude Code) in data workflows.

Culture & Benefits

  • Hybrid work model combining remote flexibility with in-person collaboration at office locations.
  • Generous paid time off policy.
  • Competitive health and welfare benefits package supporting the employee and their family.
  • Culture of diversity and inclusion with dedicated programs for educational opportunities.
  • Strong support for professional development, coaching, and stretch assignments.

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