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- Tasks: Lead data insights and create impactful Power BI dashboards for HR analytics.
- Company: Travelport, a forward-thinking company prioritising diversity and inclusion.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a diverse team and make a real difference in HR functions.
- Why this job: Shape HR data management and mentor future talent in a dynamic environment.
- Qualifications: Experience in HR analytics and strong data-driven decision-making skills.
The predicted salary is between 60000 - 80000 £ per year.
Travelport is seeking a Data Insights Lead based in Langley, UK. In this pivotal role, you'll provide analytical leadership and partner with the Corporate Systems group to improve HR data management and reporting capabilities.
Key responsibilities include:
- Mentoring an early-career analyst
- Building Power BI dashboards
Ideal candidates will have experience in HR analytics and a strong understanding of data-driven decision-making within HR functions. This position supports hybrid working arrangements and emphasizes diversity and inclusion.
Data Insights Lead — Hybrid, Power BI & People Analytics employer: Travelport
Contact Detail:
Travelport Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Lead — Hybrid, Power BI & People Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the HR analytics space, especially those who work with Power BI. A casual chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio of Power BI dashboards or HR analytics projects you've worked on. This visual proof of your expertise can really set you apart during interviews.
✨Tip Number 3
Prepare for those interviews by brushing up on data-driven decision-making in HR. Be ready to discuss how you've used data to influence outcomes and improve processes in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Insights Lead — Hybrid, Power BI & People Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in HR analytics and data-driven decision-making. We want to see how your skills align with the role of Data Insights Lead, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how you can contribute to improving HR data management. We love seeing genuine enthusiasm for what we do!
Showcase Your Power BI Skills: Since building Power BI dashboards is a key part of the job, make sure to mention any specific projects or experiences you have with Power BI. We’re keen to see how you can bring your analytical skills to our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Travelport
✨Know Your Data
Make sure you brush up on your HR analytics knowledge. Be prepared to discuss how you've used data to drive decision-making in previous roles. Think of specific examples where your insights led to tangible improvements.
✨Showcase Your Power BI Skills
Since this role involves building Power BI dashboards, it’s crucial to demonstrate your proficiency. Bring along examples of dashboards you've created and be ready to explain the thought process behind your design choices.
✨Mentorship Mindset
As you'll be mentoring an early-career analyst, think about your approach to mentorship. Prepare to share how you’ve supported others in their professional growth and how you plan to foster a collaborative environment.
✨Embrace Diversity and Inclusion
Travelport values diversity and inclusion, so be ready to discuss how you’ve contributed to these initiatives in your past roles. Share your thoughts on the importance of diverse perspectives in data analysis and decision-making.