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- Tasks: Analyse HR data and create insightful reports to support decision-making.
- Company: Reputable London-based organisation in the business services industry.
- Benefits: Gain valuable experience in a temporary role with a collaborative team.
- Why this job: Make an impact in HR analytics while developing your data skills.
- Qualifications: Strong analytical skills and proficiency in HR systems, especially HiBob.
- Other info: Opportunity for professional growth in a dynamic work environment.
The predicted salary is between 28800 - 48000 £ per year.
The HR Reporting and Data Analyst will play a vital role in ensuring accurate data analysis and reporting within the Human Resources department. This temporary position in London requires a detail-oriented individual with strong data-handling skills in a business services environment.
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.
Client Details
Our client is a reputable organisation within the business services industry, known for its commitment to operational excellence and innovation. This London-based company operates as a medium-sized enterprise, providing tailored solutions to meet the needs of their diverse client base.
Description
The HR Reporting and Data Analyst will be responsible for:
Prepare and deliver accurate HR reports and dashboards to support decision-making processes.
Analyse employee data to identify trends and provide actionable insights to the HR team.
Collaborate with HR and other departments to ensure data accuracy and consistency.
Maintain and update HR databases, ensuring compliance with data protection regulations.
Develop and refine reporting processes to improve efficiency and reliability.
Support ad hoc data analysis and reporting requests as required by leadership.
Assist in auditing HR data to ensure accuracy and alignment with organisational standards.
Provide technical support for HR systems and tools used for reporting and analysis.Profile
A successful HR Reporting and Data Analyst should have:
Strong analytical skills with experience in handling and interpreting large datasets.
Proficiency in HR systems and tools such as Excel, HRIS, or other reporting platforms. HiBob experince is essential for this role
A background in data analysis within the human resources or business services sectors.
Excellent attention to detail and commitment to data accuracy.
Knowledge of data protection and confidentiality practices.
Effective communication skills to present data insights to stakeholders.Job Offer
Temporary role offering valuable experience in a London-based organisation.
Opportunity to work in the business services industry with a focus on HR analytics.
Work closely with a collaborative team in a professional environment.If you have the skills and experience to excel as an HR Reporting and Data Analyst, we encourage you to apply and contribute to this impactful role in London
HR reporting and Data Analyst employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR reporting and Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. We should be ready to discuss how we've handled large datasets and any specific tools we've used, especially HiBob, as it’s essential for this role.
✨Tip Number 3
Showcase our analytical prowess! Bring examples of reports or dashboards we've created in the past. This will help us demonstrate our attention to detail and ability to provide actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we fit the role perfectly.
We think you need these skills to ace HR reporting and Data Analyst
Some tips for your application 🫡
Read the Job Description Carefully: Before you start your application, make sure to read the job description thoroughly. We want to see that you understand the role and how your skills align with what we're looking for.
Showcase Your Data Skills: Highlight your experience with data analysis and HR systems like HiBob. We love seeing specific examples of how you've handled large datasets or improved reporting processes in your previous roles.
Be Detail-Oriented: Since this role requires a keen eye for detail, ensure your application is free from typos and errors. We appreciate candidates who take the time to present their information clearly and accurately.
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 this exciting opportunity in London!
How to prepare for a job interview at Michael Page
✨Know Your Data Tools
Make sure you brush up on your skills with Excel and any HRIS tools, especially HiBob. Be ready to discuss how you've used these tools in past roles to analyse data and generate reports. This will show that you're not just familiar with the software, but that you can leverage it effectively.
✨Showcase Your Analytical Skills
Prepare examples of how you've identified trends from data in previous positions. Think about specific instances where your insights led to actionable changes. This will demonstrate your ability to provide value through data analysis, which is crucial for this role.
✨Understand Data Protection Regulations
Familiarise yourself with data protection practices relevant to HR. Be prepared to discuss how you ensure compliance when handling sensitive employee information. This shows that you take data accuracy and confidentiality seriously, which is vital in HR.
✨Communicate Clearly
Practice explaining complex data insights in a straightforward manner. You might be asked to present findings or suggest improvements during the interview, so being able to communicate effectively with non-technical stakeholders is key. Think about how you can make your data stories engaging and easy to understand.