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6 дней назад

HR Data Analyst (People & Culture)

141 000 - 202 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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

HR Data Analyst (People & Culture): Driving data-driven decision-making for People & Culture teams with an accent on uncovering insights, modeling trends, and translating complex findings into actionable recommendations. Focus on strategic partnership, end-to-end analysis, and empowering stakeholders with self-service analytics.

Location: Mountain View, California, US

Salary: $141,000–$202,000 + bonus + benefits

Company

hirify.global works to advance AI for public benefit and scientific discovery, prioritizing safety and ethics.

What you will do

  • Drive data-driven decision-making in People & Culture teams.
  • Build strong relationships with stakeholders to understand challenges and build data solutions.
  • Become a key strategic partner, proposing, championing changes, and driving them to completion.
  • Work with internal AI tools to scale your work across a larger stakeholder base.
  • Conduct rigorous, end-to-end analyses to uncover insights, model trends, and answer complex questions.
  • Translate complex analytical findings into clear narratives and actionable recommendations.

Requirements

  • Strong track record of building stakeholder relationships and influencing decisions.
  • Ability to manage multiple projects simultaneously, prioritize effectively, and deliver high-quality insights.
  • Experience with or a strong interest in People & Culture (HR, recruiting, performance, talent, or employee engagement).
  • For Profile 2: 3+ years of experience as a Data Scientist, Data Analyst, Quantitative Analyst, or Product Data Scientist.
  • High proficiency in Advanced SQL for analysis.
  • Solid understanding and practical application of statistical concepts for analysis (e.g., hypothesis testing, regression, forecasting).

Nice to have

  • Ability and curiosity to use AI tools practically and effectively.
  • Proficiency in Python and common data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Seaborn).
  • Experience creating effective dashboards and visualizations using tools like Tableau, Looker, or Google Data Studio.
  • Experience designing and implementing ELT workflows (using tools like dagster, dbt).
  • Experience mentoring others in analytical techniques or tools.

Culture & Benefits

  • Direct strategic impact, informing critical investment and strategic decisions.
  • Work closely with senior leaders and key decision-makers.
  • Be part of a supportive and highly skilled data & analytics group.
  • Commitment to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition.
  • Accommodation for disability or additional needs.

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