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For Companies At a Glance
- Tasks: Lead HR analytics, automate reports, and provide actionable insights for decision-making.
- Company: IMC, a global trading firm with a collaborative and innovative culture.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a real impact by turning data into insights that drive HR decisions.
- Qualifications: Strong HR data analytics background and proficiency in Excel and BI tools.
- Other info: Join a high-performance team dedicated to innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
About the role
In this role, you’ll take the lead on HR analytics across both day-to-day reporting and key project work. You’ll keep our regular HR reports running smoothly, finding opportunities to improve and automate them as we grow. You’ll also play an active part in major HR projects, shaping analytical workstreams and advising on data needs. Working closely with colleagues across HR and Business Planning & Analytics, you’ll help turn data into clear, actionable insights for a range of stakeholders.
Your core responsibilities:
- Deliver, refine and automate HR reports and insights for key annual milestones and decision-making forums.
- Produce monthly HR reporting, including headcount, attrition and recruitment insights.
- Support Core HR projects by managing data requests and advising on data requirements.
- Handle ad hoc analysis and reporting requests from the Core HR team.
- Partner with Business Planning & Analytics to resolve data-quality issues and improve reporting processes.
- Collaborate with BPA to ensure dashboards are designed and developed to meet Core HR needs.
- Support the Month-End Validation process across HR datasets.
Your skills and experience:
- Strong background in HR data analytics with the ability to make recommendations and identify reporting gaps.
- High proficiency in Excel, including working independently with complex datasets.
- Ability to translate data into clear insights and data-backed recommendations.
- Proficient in PowerPoint for presenting findings to different audiences.
- Experience with Workday and BI tools such as Qlik, Power BI or Tableau.
- Strong team player able to collaborate effectively with cross-functional partners.
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
HR Data Analyst in City of London employer: IMC B.V.
Contact Detail:
IMC B.V. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at IMC or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your HR data analytics skills. Be ready to discuss how you've used Excel and BI tools to turn data into actionable insights. Show us what you've got!
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on our website and apply directly. We love seeing proactive candidates who are eager to join our team.
✨Tip Number 4
Practice your presentation skills! You’ll need to present findings clearly, so get comfortable with PowerPoint and think about how you can make your insights engaging for different audiences.
We think you need these skills to ace HR Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the HR Data Analyst role. Highlight your experience with HR analytics, Excel, and any BI tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about HR data analytics and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t just list your skills; demonstrate them! Share examples of how you've turned data into actionable insights in previous roles. We’re keen to see your problem-solving abilities in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at IMC B.V.
✨Know Your Data Inside Out
Make sure you’re familiar with the key HR metrics mentioned in the job description, like headcount and attrition rates. Be ready to discuss how you’ve used data analytics in previous roles to drive insights and improvements.
✨Excel Skills are Key
Since strong proficiency in Excel is a must-have, brush up on your skills before the interview. Practice working with complex datasets and be prepared to share examples of how you've automated reports or improved processes using Excel.
✨Showcase Your Presentation Skills
You’ll need to present findings to various audiences, so think about how you can effectively communicate data insights. Prepare a short presentation or example of your work that demonstrates your ability to translate data into clear, actionable recommendations.
✨Collaboration is Crucial
Highlight your experience working with cross-functional teams. Be ready to discuss specific projects where you partnered with others, especially in HR or Business Planning & Analytics, to resolve data issues or improve reporting processes.
