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Global Workforce Analytics & Data Architect(m/w/x)
Designing and building predictive models for workforce analytics. 4-6 years of people analytics experience required. 30 days holidays, flexible hours, remote work possible.
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Anforderungen
- Master’s degree in Computer Science, Engineering, Data Analytics, Mathematics, Statistics, or related field
- 4–6 years relevant professional experience in workforce, HR, people analytics, or business analytics
- Effective communication of technical concepts to non-technical stakeholders
- Managing multiple priorities and delivering results in fast-paced environment
- Strong problem-solving and analytical skills with attention to detail
- Collaborative work in matrix organization with multiple stakeholders
- Strong interpersonal and relationship-building skills
- Working with structured, semi-structured, and unstructured data to identify patterns and connect insights
- High proficiency in programming language (JavaScript, R, Python, Scala, or Java)
- Experience with Excel, PowerPoint, Power BI, Tableau, and SQL preferred
- Strong interest in and working knowledge of cloud platforms, preferably Azure
- Experience with traditional data warehousing and ETL tools
- Knowledge of Japanese language is an added advantage
Aufgaben
- Provide deep technical expertise for high-impact workforce analytics initiatives
- Identify optimal data sets, models, training methods, and testing techniques
- Analyze complex business and people-data problems
- Apply continuous integration and deployment best practices
- Design and build predictive models, classifiers, and recommendation systems
- Stay current on data science, machine learning, AI, and visualization tools
- Communicate complex findings to non-technical stakeholders
- Partner with business leaders and domain experts to gather context
- Manage external vendors in workforce analytics development
- Use programming languages in cloud environments
- Design the overall data architecture for a global HR Data Lake
- Develop workforce analytics tools
- Guide global HR data governance and KPI strategy
- Strengthen data culture across Global HR and the broader data community
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Flexible working hours
- Remote work possible (up to 60%)
- 30 days of holidays
- Modern office
- Inspiring working environment
- Subsidized employee restaurant with live cooking
- 100% subsidized public transport ticket
- Free parking space
- Company sport groups
- Inhouse company gym
- Company medical officer
- Vaccination offers
- Employee Assistance Program
- Comprehensive company pension scheme
- Childcare through partner
- Company car for private use (field staff only)
- Bike leasing
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Olympus Europa SE & Co. KG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Olympus Europa SE & Co. KGÜber das Unternehmen
The company is a global medical technology company that partners with healthcare professionals to provide solutions for early detection and treatment.
olympus-europa.comNejo bewertet ihn, und bringt ihn danach gemeinsam mit dir in Bestform.
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