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6 дней назад

Senior Data Analyst (AI)

122 000 - 171 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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
Senior Data Analyst (AI) (Product-Led SaaS Analytics): Analyzing customer journeys from sign-up through activation, retention, expansion, and renewal, with an accent on PLG metrics, customer lifecycle analysis, and actionable growth insights. Focus on designing analytical frameworks, applying experimentation and predictive modeling, and building AI-ready data foundations and Generative BI capabilities.

Location: Remote within the United States or Canada; employees must work from their home country and be willing to travel for in-person engagements.

Salary: USA-based roles: $122,000–$171,000 USD annual base salary. Canada-based roles: $105,000–$147,000 CAD annual base salary.

Company

hirify.global develops cybersecurity products for secure identity, application access, device trust, and enterprise password management.

What you will do

  • Partner with Customer Success on analytics for adoption, activation, retention, churn, expansion, conversion, and renewal.
  • Analyze the digital customer journey and identify growth levers for leadership decision-making.
  • Translate open-ended business questions from Customer Success, Product, Growth, RevOps, and Data Engineering into analytical frameworks.
  • Synthesize complex analysis into clear recommendations and communicate findings to senior leaders.
  • Measure digital and scaled success programs, size opportunities, and guide investment priorities.
  • Help build data foundations, governance, analytical standards, and AI capabilities including Generative BI, forecasting, anomaly detection, and insight generation.

Requirements

  • 5+ years of analytics experience in complex B2B SaaS environments, ideally in a product-led or self-serve motion.
  • Strong product-led growth and customer lifecycle expertise, including activation, PQLs, cohort analysis, retention, churn, expansion, and growth modeling.
  • Experience partnering with Customer Success, Product, and Growth stakeholders and translating business questions into analytical frameworks.
  • Ability to synthesize complex analysis into clear recommendations and influence senior leaders, decisions, and priorities.
  • Experience with experimentation, including A/B testing, statistical modeling, or predictive techniques such as churn or propensity modeling.
  • Advanced SQL and strong experience with large-scale analytical datasets, including product usage and event data.
  • Hands-on experience with modern AI/BI tools such as Hex, Omni, Claude, Dust, or similar.
  • Comfort working in modern cloud data ecosystems including Snowflake, Databricks, and dbt.
  • Experience with go-to-market and customer platforms such as Salesforce and Gainsight or a similar customer success platform.

Nice to have

  • B2C or hybrid B2B/B2C experience.
  • Familiarity with product analytics tools such as Amplitude, Segment, or similar.

Culture & Benefits

  • Remote-first work environment with collaboration, transparent communication, feedback, and flexible in-person engagement.
  • Travel may include annual department offsites, team meetings, and customer or industry events.
  • Health, dental, and retirement benefits; US roles include 401(k), while Canada roles include RRSP.
  • Paid time off, maternity and parental leave top-ups, paid volunteer days, and peer recognition.
  • RSU program for most employees, incentive programs where applicable, and a free hirify.global account.
  • Inclusive workplace with accommodation available during the recruitment process.

Hiring process

  • Successful applicants complete a background check that may include employment, reference, education, criminal, social media, and credit checks where permitted by law.
  • Live interviews must be completed without AI tools; responsible AI use is permitted during the application process.

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