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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Контракт на два годаЗарплата не указанаАктуальный стекСильный соцпакетПонятные задачиЛидер отрасли
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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