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6 дней назад

HR Data Analyst

Формат работы
onsite
Тип работы
fulltime
Английский
c1
Страна
Germany
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 Analytics): Turning workforce data into actionable HR insights, dashboards, forecasts, and reporting solutions with an accent on data preparation, visualization, and stakeholder-focused analytics. Focus on improving data flows, automating HR reporting, analyzing complex employee datasets, and applying responsible data use including GDPR requirements.

Location: Berlin, Germany, specifically Berlin Neukölln

Company

hirify.global is an innovation leader in the semiconductor industry with enabling functions including Human Resources, Accounting, Controlling, IT, and Communications.

What you will do

  • Manage the end-to-end HR data analytics process, from stakeholder requirements and data-source identification to data preparation, analysis, and visualization.
  • Analyze workforce capacity, talent acquisition, absences, compensation, and diversity data to identify trends and patterns.
  • Develop and maintain reports, dashboards, forecasts, and ad hoc analyses for HR and internal stakeholders.
  • Identify and implement technical solutions for data preparation, analytics, reporting, visualization, and improved data flows.
  • Standardize, simplify, automate, and improve the efficiency of HR reporting and analytics.
  • Help stakeholders understand dashboards and analytical results and apply insights to business questions.

Requirements

  • University degree in business administration, economics, sociology, psychology, data science, or another strongly analytical or research-focused field.
  • Professional experience in HR analytics, HR controlling, data analytics, or a comparable area; relevant internships and working-student experience are also valued.
  • Experience with modern analytics technologies such as Excel, Power BI, Databricks, Python, SQL, data preparation tools, and generative AI tools.
  • Experience handling complex datasets, data preparation, data quality, reporting, and dashboard development.
  • Fluent German and English are required.
  • Structured analytical thinking, problem-solving ability, ownership, initiative, clear communication, collaboration, and awareness of employee-data privacy and GDPR requirements.

Culture & Benefits

  • Initially limited to two years, with the possibility of a longer-term opportunity.
  • 35-hour collective working week and flexible daily working hours depending on the work area.
  • 30 days of vacation and reimbursement of moving expenses for the employee and family from a distance of 100 km.
  • Remuneration under the company collective agreement with IG Metall, including a 13th monthly salary and variable remuneration components.
  • Employee share purchase plan, professional development opportunities, childcare and vacation care, health and well-being programs, and mobility benefits.

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