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For Companies At a Glance
- Tasks: Lead HR analytics, automate reports, and provide actionable insights for decision-making.
- Company: IMC Trading, a global trading firm with a collaborative culture.
- Benefits: Full-time role with opportunities for growth in a dynamic environment.
- Why this job: Make an 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 committed to innovation and collaboration.
The predicted salary is between 30000 - 42000 ÂŁ per year.
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.
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.
Seniority level: Entry level
Employment type: Full‑time
Job function: Human Resources
HR Data Analyst in London employer: IMC Trading
Contact Detail:
IMC Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at IMC Trading on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your HR data analytics skills. Be ready to discuss how you've used data to drive decisions in the past. We want to see your analytical thinking in action!
✨Tip Number 3
Showcase your Excel prowess! During interviews, be prepared to demonstrate how you handle complex datasets. We love seeing candidates who can turn raw data into actionable insights.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace HR Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored 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 match 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 forget to showcase your analytical skills. Mention specific projects where you've turned data into actionable insights. We’re keen on seeing how you can help us improve our reporting processes!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our collaborative team at IMC Trading!
How to prepare for a job interview at IMC Trading
✨Know Your Data Inside Out
Make sure you’re familiar with HR data analytics concepts and tools mentioned in the job description. Brush up on your Excel skills, especially with complex datasets, and be ready to discuss how you've used data to drive insights in previous roles.
✨Showcase Your Reporting Skills
Prepare examples of reports you've created or automated in the past. Be ready to explain the process you followed, the challenges you faced, and how your reports influenced decision-making. This will demonstrate your ability to deliver and refine HR reports effectively.
✨Practice Your Presentation Skills
Since you'll need to present findings to various audiences, practice summarising complex data into clear, actionable insights. Use PowerPoint to create a mock presentation based on hypothetical HR data, and rehearse explaining it in a straightforward manner.
✨Collaborate and Communicate
Highlight your teamwork experience during the interview. Be prepared to discuss how you've collaborated with cross-functional teams in the past, particularly in resolving data quality issues or supporting HR projects. This shows you can work well with others and contribute to a collaborative culture.
