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For Companies At a Glance
- Tasks: Join a team to deliver HR analytics and reporting solutions that drive business decisions.
- Company: Be part of a leading global organization known for its innovative data and AI strategies.
- Benefits: Enjoy flexible working with 1-2 days in the office and opportunities for professional growth.
- Why this job: Work on impactful projects in a supportive team, enhancing operations and client experiences.
- Qualifications: Experience with HR systems and data visualization tools like Power BI is essential.
- Other info: Ideal for those looking to grow their skills in a dynamic, forward-thinking environment.
The predicted salary is between 45000 - 53000 £ per year.
HR Data Specialist
Salary: £45,000 – £53,000
Location: London (1-2 days in office per week) – for Birmingham, please apply via different advert
About the Company
A leading global organisation is seeking an HR Data Specialist to join their established HR Data and Analytics team. This is an opportunity to be part of a forward-thinking business with operations across 40+ countries. Renowned for its advanced approach to data and AI, the organisation has recently appointed a new CEO to drive a long-term data strategy aimed at transforming internal operations and client experiences.
About The Role
As part of a team of five, this role will provide analytics and self-serve reporting, focusing on HR-related activities such as recruitment, planning, finance, and data quality. The successful candidate will design, deliver, and maintain reporting solutions, ensuring high-quality insights that enhance decision-making across the business.
Analytics and Reporting:
- Design and deliver self-serve reporting and analytics packs tailored to stakeholder needs.
- Provide ad hoc reports and analysis to support business requirements.
Stakeholder Engagement:
- Collaborate with stakeholders to gather and document requirements, manage the analysis process, and deliver actionable insights.
- Work closely with internal teams to optimise reporting processes and outputs.
Data Quality:
- Identify and raise data quality issues to ensure reporting accuracy.
Tools and Channels:
- Deliver reports through multiple channels, including dashboards, self-serve tools, and analytics packs.
- Action tickets related to updating dashboards and managing reporting needs via platforms such as ServiceNow.
About You
The ideal candidate will have experience working with HR data and systems, coupled with strong communication and analytical skills. They should be comfortable engaging with stakeholders and delivering insights in a professional services environment.
Essential Skills and Experience:
- Experience with HR systems, ideally SuccessFactors.
- Proficiency in data visualisation tools, particularly Power BI.
- Understanding of or interest in learning DAX.
- Strong communication skills, with the ability to work effectively with clients and stakeholders.
- Exposure to professional services environments is preferred but not essential.
Desirable Skills:
- Familiarity with SQL or an interest in developing SQL skills.
- Experience in addressing data quality issues and ensuring data integrity.
Why Join?
- Be part of a globally recognised organisation that prioritises innovation in data and AI.
- Work on impactful projects that enhance internal operations and client experiences.
- Collaborate with a talented and supportive team in a flexible working environment.
Harnham | HR Data Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Harnham | HR Data Analyst
✨Tip Number 1
Familiarize yourself with the specific HR systems mentioned in the job description, especially SuccessFactors. Having a solid understanding of these tools will give you an edge during the interview process.
✨Tip Number 2
Brush up on your data visualization skills, particularly in Power BI. Consider creating sample dashboards or reports to showcase your ability to deliver insights effectively.
✨Tip Number 3
Engage with professionals in the HR analytics field through networking events or online forums. This can provide you with valuable insights and potentially lead to referrals within the company.
✨Tip Number 4
Prepare to discuss how you've addressed data quality issues in past roles. Being able to demonstrate your problem-solving skills in this area will be crucial for the role.
We think you need these skills to ace Harnham | HR Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with HR data and systems, particularly any work with SuccessFactors. Emphasize your proficiency in data visualization tools like Power BI and any exposure to SQL.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your analytical skills and experience with stakeholder engagement make you a great fit for the HR Data Analyst position.
Showcase Your Communication Skills: Since strong communication skills are essential for this role, provide examples in your application of how you've effectively collaborated with stakeholders or delivered insights in previous positions.
Highlight Your Problem-Solving Abilities: Mention any experiences where you've identified data quality issues and implemented solutions. This will demonstrate your proactive approach to ensuring reporting accuracy, which is crucial for the role.
How to prepare for a job interview at Harnham
✨Showcase Your HR Data Experience
Make sure to highlight your previous experience with HR data and systems, especially if you've worked with SuccessFactors. Be prepared to discuss specific projects where you utilized data analytics to drive decision-making.
✨Demonstrate Your Analytical Skills
Prepare examples that showcase your analytical skills, particularly in designing and delivering reporting solutions. Discuss how you've used data visualization tools like Power BI to create impactful reports.
✨Engage with Stakeholders
Since stakeholder engagement is crucial for this role, think of instances where you've successfully collaborated with stakeholders to gather requirements and deliver actionable insights. Practice articulating these experiences clearly.
✨Discuss Data Quality Management
Be ready to talk about your approach to identifying and addressing data quality issues. Share any relevant experiences where you ensured data integrity and accuracy in your reporting processes.
