3 дня назад
HR Analyst (HR Analytics)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
HR Analyst (HR Analytics): Integrating HR data from multiple systems and building advanced analytics to support data-driven workforce and talent decisions with an accent on data quality, predictive modeling, and executive dashboards. Focus on translating stakeholder questions into end-to-end analytical projects, identifying workforce trends and risks, and turning complex datasets into actionable recommendations.
Location: Remote from Kazakhstan, Armenia, Georgia, or Serbia
Company
is developing its HR technology architecture and implementing new systems to support a data-driven HR function.
What you will do
- Integrate and consolidate HR data from multiple systems while ensuring quality, consistency, and accessibility.
- Perform statistical analysis, build predictive models, and develop forecasts for key workforce areas.
- Create interactive dashboards, visualizations, and advanced reports for leaders and executives.
- Translate business questions into analytical projects and deliver actionable recommendations.
- Lead analytics initiatives from requirements gathering through implementation and follow-up.
- Identify workforce trends, risks, and opportunities, and help improve talent strategy and HR analytics maturity.
Requirements
- 3+ years of hands-on experience in HR Analytics.
- Degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or Sociology.
- Strong skills in statistical analysis, data modeling, dashboarding, visualization, and core data handling.
- Ability to turn complex datasets into clear, actionable business insights.
- Experience with predictive analytics and end-to-end project leadership.
- English at B2 level or higher.
Culture & Benefits
- Full-time remote work from Kazakhstan, Armenia, Georgia, or Serbia.
- Work in a fast-paced HR Tech environment during a transition to a new IT HR architecture.
- Direct collaboration with organizational leaders and executives.
- Opportunity to advance the organization toward a fully data-driven HR function.
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