Siemens
Are you a tech-savvy master’s student with a passion for data, insights, and visualization tools? Are you ready to explore the world of Talent Acquisition and Data Analytics?
If so, join Siemens as a Talent Acquisition Analytics Intern and kickstart your career with us. This internship offers a unique opportunity to gain hands-on experience within People and Organization (P&O) community, with a focus on Talent Acquisition (TA) within a leading technology company.
At Siemens, Talent Acquisition plays a critical role in identifying and attracting top talent to drive innovation and shape the future. We focus on hiring the highest-quality candidates across a variety of sectors, particularly in engineering and technology.
We make real what matters. This is your part.
- Create, maintain, and analyze key recruitment metrics such as time-to-hire, cost-per-hire, source of hire, and candidate pipeline metrics.
- You will support our team in our data ETL process (mainly Excel based data sources, but you’re curious in exploring other possibilities).
- You will work on data refreshes for our dashboards for the Management team and beyond based on Power BI.
- You will keep track of the timely reports to be delivered and ensure the timeliness of our reporting process by extracting and storing data according to our current reporting landscape.
- You will work on our SharePoint organization and suggest improvements aiming at an optimal and clean data structure, avoiding redundancies.
- Develop and present data-driven insights using Power BI, turning complex data into clear, actionable recommendations for stakeholders.
- Analyze recruitment data to identify trends, patterns, and opportunities for optimizing the talent acquisition process.
- Provide insights on candidate demographics, hiring trends, and team performance to enhance decision-making.
- Contribute to improving recruitment processes and efficiency by working on ad-hoc projects and tasks assigned by the Talent Acquisition Lead.
- Participate in projects aimed at driving excellence and innovation within the TA function.
- Last, but not least you will support our team with additional daily tasks.
We don’t need superheroes, just super minds.
- You are a Bachelor or Master’s student in Computing, Data Analytics, Business Administration or similar fields with ability to work full-time alongside your studies.
- You are proficient in writing and understanding complex formulae in MS Excel and handles overall MS Office very well.
- Ideally you have a good knowledge of Power BI / DAX.
- You are fluent in English for personal and virtual communication with the international team.
- You’re a proactive, curious, and empathetic team player with very high commitment, motivation and ability to learn.
- Ability to interpret complex data, identify key trends, and present actionable insights.
- Excellent written and verbal communication skills.
- High attention to detail and a strong passion for data analysis and continuous improvement.
You’ll benefit from
- 2 to 3 days of mobile working per week as a global standard.
- Diverse and inclusive culture.
- An environment where everyone can bring their whole self and feel a sense of belonging.
- the foundation to develop personally and professionally.
- Extraordinary variety of learning & development opportunities.
Create a better #TomorrowWithUs!
We value your outstanding identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.
We celebrate the fact that our people are individuals and have different preferences and needs. If we all thought the same, we would never think of anything new! That’s why we recruit extraordinary minds from all walks of life. We are committed to furthering our culture of diversity, equity and inclusion. We encourage applications from a diverse talent pool and are happy to give the opportunity to discuss flexibility and reasonable adjustment requirements. Many of our teams are working optimally in a remote, virtual adding to our ability to offer more flexibility on how you handle your time.
Please note: Only complete applications can be considered in the selection process.
To apply for this job please visit ae.linkedin.com.