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- Tasks: Lead HR analytics, manage reporting, and support key HR projects with data-driven insights.
- Company: Global trading firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Transform data into impactful insights and collaborate with diverse teams.
- Qualifications: Strong HR data analytics background, Excel proficiency, and experience with BI tools.
- Other info: Join a dynamic team and enhance your career in a thriving environment.
The predicted salary is between 36000 - 60000 £ per year.
A global trading firm in Greater London is seeking an experienced HR Analytics Lead to oversee vital HR analytics, manage reporting, and support key HR projects. Ideal candidates will have a strong background in HR data analytics, high proficiency in Excel, and experience with BI tools like Power BI and Tableau. This role is essential for turning data into actionable insights, requiring excellent collaboration and communication skills to work effectively with various stakeholders.
HR Data Analytics Specialist: Insights & Dashboards employer: IMC
Contact Detail:
IMC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data Analytics Specialist: Insights & Dashboards
✨Tip Number 1
Network like a pro! Reach out to people in the HR analytics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Excel, Power BI, and Tableau. Having tangible examples of how you've turned data into insights will make you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with various stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace HR Data Analytics Specialist: Insights & Dashboards
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in HR data analytics and your proficiency with tools like Excel, Power BI, and Tableau. We want to see how your skills align with the role, 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 HR analytics and how you can turn data into actionable insights. We love seeing candidates who can communicate effectively, so let your personality come through.
Showcase Collaboration Skills: Since this role involves working with various stakeholders, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork, so highlight those moments where you made a difference!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at IMC
✨Know Your Data Inside Out
Make sure you’re well-versed in HR data analytics. Brush up on your knowledge of key metrics and how they impact business decisions. Be ready to discuss specific examples of how you've used data to drive insights in previous roles.
✨Show Off Your Excel Skills
Since proficiency in Excel is a must, practice using advanced functions and features. Prepare to demonstrate your skills during the interview, perhaps by discussing a complex spreadsheet you’ve created or a problem you solved using Excel.
✨Familiarise Yourself with BI Tools
Get comfortable with Power BI and Tableau if you haven’t already. Consider creating a sample dashboard to showcase your ability to turn data into visual insights. This will not only impress the interviewers but also give you a practical example to discuss.
✨Prepare for Collaboration Questions
As this role requires excellent collaboration skills, think of examples where you successfully worked with different stakeholders. Be ready to explain how you communicated complex data insights to non-technical team members and how you handled any challenges that arose.
