At a Glance
- Tasks: Analyze HR data to drive insights and support decision-making.
- Company: Join Rentokil Initial, a diverse and inclusive global leader in pest control and hygiene services.
- Benefits: Enjoy hybrid working, competitive salary, 23 days holiday, healthcare, and more perks!
- Why this job: Be the go-to person for People Data reporting and make a real impact on HR strategies.
- Qualifications: Experience in data analysis, reporting, and collaboration within HR or Business Intelligence is essential.
- Other info: We celebrate diversity and encourage everyone to bring their authentic selves to work.
The predicted salary is between 28800 - 42000 £ per year.
The HR Data Analyst will play a crucial role in driving data-driven decision-making within the HR function. This position will be responsible for collecting, cleaning, analysing, and interpreting HR data to identify trends, patterns, and insights.
Supporting the HR Reporting and Analytics lead, this role will primarily ensure the monthly delivery of the EOC -(Employer of Choice) report, which is distributed across the global group including the most senior level, collating source data from systems and manual feeds to create reporting of critical HR KPI’s to include: Retention, Absence,TA/Recruitment, Engagement,Diversity and Headcount.
Alongside this regular reporting schedule you will need to manage year end, corporate compliance reporting and ad hoc data requests. This will require key global stakeholder management, time management, influence, relationship building and prioritisation skills.
The successful candidate will collaborate with HR teams to understand their data needs, develop data solutions, and provide actionable recommendations.
Main Tasks:
Data Collection and Cleaning:
Collect existing data from various sources, in various formats and with varying degrees of alignment & accuracy.
Use your skills, experience and technology to validate, cleanse and align the collected data, taking steps to ensure an efficient process in case of repetition.
Data Analysis:
Use statistical analysis to identify trends, patterns, and correlations in relation to core HR KPI’s, utilising data mining techniques to provide insight beyond the obvious.
Help develop predictive models, assist in efforts to increase the utilisation of workforce planning & explore further the use of data fusion tools & AI in the role of People Analytics.
Data Visualization:
Create clear, compelling and concise data visualisations (e.g., charts, graphs, dashboards) to communicate findings effectively and help less data literate colleagues navigate regular KPIs and potentially complex ad-hoc analysis.
Reporting:
Support reporting processes with structured, precise reports utilising Workday, aiming to become the ‘go-to’ person for People Data reporting within the team.
Fully utilise new & existing reports to provide data-driven insights to support strategic HR initiatives
Collaboration:
Work cross-functionally alongside other subject matter experts to understand their data needs and provide tailored solutions that meet or extend beyond their requirements.
Collaborate closely with our HRIS & IT teams along with other departments to ensure data integrity, accessibility and help inform & evolve our global data architecture & governance.
Experience of working within a People/HR or Business Intelligence function, with an exposure of People Data is a must
Experience in a Data-Driven Organization, working in a culture that values data-driven decision-making.
Experience in Data Analysis and Reporting, creating insightful reports and dashboards
Experience in working collaboratively to overcoming obstacles relating to complex data, stakeholders or technology processes.
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Competitive salary
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Hybrid working
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Rentokil Initial Reward Scheme
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23 days holiday, plus 8 bank holidays
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Employee Assistance Programme
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Death in service benefit
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Healthcare
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Free parking
At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute.
We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to (joanna.sharpe@rentokil-initial.com) if you need anything
Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out.
Group HR Data Analyst employer: Rentokil
Contact Detail:
Rentokil Recruiting Team
joanna.sharpe@rentokil-initial.com
StudySmarter Expert Advice 🤫
We think this is how you could land Group HR Data Analyst
✨Tip Number 1
Familiarize yourself with the key HR KPIs mentioned in the job description, such as retention, absence, and engagement. Understanding these metrics will help you demonstrate your analytical skills and how you can contribute to data-driven decision-making.
✨Tip Number 2
Showcase your experience with data visualization tools. Being able to create clear and compelling visual representations of data is crucial for this role, so be prepared to discuss specific examples of how you've done this in the past.
✨Tip Number 3
Highlight your collaborative skills. This position requires working cross-functionally, so be ready to share experiences where you've successfully partnered with other teams to meet their data needs.
✨Tip Number 4
Prepare to discuss your approach to data cleaning and validation. Since the role involves collecting and aligning data from various sources, demonstrating your methodical approach to ensuring data integrity will set you apart.
We think you need these skills to ace Group HR Data Analyst
Some tips for your application 🫡
Understand the Role: Before you start writing, make sure you fully understand the responsibilities and requirements of the HR Data Analyst position. Highlight your relevant experience in data analysis, reporting, and collaboration with HR teams.
Showcase Your Skills: Emphasize your skills in data collection, cleaning, and visualization. Provide specific examples of how you've used statistical analysis to identify trends and insights in previous roles.
Personalize Your Application: Make your application unique by adding a personal touch. Share your passion for data-driven decision-making and how it aligns with Rentokil Initial's values. This will help you stand out from other candidates.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Ensure that there are no grammatical errors and that your writing is clear and concise. A well-presented application reflects your attention to detail.
How to prepare for a job interview at Rentokil
✨Show Your Data Skills
Be prepared to discuss your experience with data collection, cleaning, and analysis. Highlight specific tools and techniques you've used in the past to manage HR data effectively.
✨Understand HR KPIs
Familiarize yourself with key HR metrics such as retention, absence, and engagement. Be ready to explain how you would analyze these metrics to provide actionable insights.
✨Demonstrate Collaboration
Since this role involves working cross-functionally, share examples of how you've successfully collaborated with different teams. Emphasize your relationship-building skills and ability to understand diverse data needs.
✨Prepare for Reporting Scenarios
Think about how you would approach creating reports and dashboards. Be ready to discuss your experience with reporting tools like Workday and how you ensure data integrity and accessibility.