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- Tasks: Support HR with data management and system efficiency to enhance employee services.
- Company: Join a dynamic team committed to data accuracy and compliance in HR functions.
- Benefits: Enjoy flexible working options and a collaborative work culture.
- Why this job: Be a key player in shaping HR processes and making a real impact on employee experience.
- Qualifications: Attention to detail, data management skills, and proficiency in Excel are essential.
- Other info: Experience with HRIS like Dayforce is a plus; embrace a role that champions data protection.
The predicted salary is between 28800 - 43200 £ per year.
Who we are looking for A proactive Data/Systems HR Officer ready to support our HR function with accurate data and efficient systems, enabling us to better serve our employees. As the Data/Systems HR Officer, you will be a key player in maintaining the integrity of our HR data and systems, assisting with the smooth operation of our HR processes. This role is pivotal in ensuring data accuracy, compliance, and efficiency across all HR functions, supporting the delivery of our people strategy. You will manage data inputs, generate reports, and maintain our HR systems, ensuring data quality and accessibility. Partnering with the broader HR and Payroll teams, you will play a key role in championing the accurate and efficient management of employee data, supporting our commitment to compliance and data protection. Preferred Skills, Qualifications and Experience • Meticulous attention to detail and a commitment to data accuracy. • Experience in data entry, data management, and report generation. • Strong analytical and problem-solving skills. • Proficiency in Microsoft Office Suite, particularly Excel (including data manipulation and formula creation). • Ability to work independently and as part of a team. • Excellent communication and interpersonal skills. • Experience with HR Information Systems (HRIS) such as Dayforce is desirable. • Basic understanding of data protection principles. • Experience working with large datasets. Main Responsibilities • Maintaining the integrity and accuracy of employee data within HR systems. • Supporting structural changes in Dayforce, including data imports and stakeholder communication. • Generating and distributing regular and ad-hoc HR reports to the business. • Providing data for National Statistics audits and surveys. • Maintaining and updating content on Sharepoint HR Portal, including the Employee Handbook. • Providing accurate and timely data to the HR and Payroll teams. • Assisting with data cleansing and data quality initiatives. • Ensuring compliance with data protection regulations and internal policies. • Uploading employee data into internal and external systems (e.g. Reward Gateway). • Identifying and deleting leavers\’ records in accordance with the Data Retention Policy. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Policy which can be found at bet365careers.com/careers/documents/privacypolicy.pdf41bf1e1f-b16b-4260-a40a-17c77a06fd15
Human Resources Officer, Data Systems employer: bet365
Contact Detail:
bet365 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Human Resources Officer, Data Systems
✨Tip Number 1
Familiarise yourself with HR Information Systems (HRIS) like Dayforce. Understanding how these systems work will give you a significant advantage, as you'll be able to demonstrate your capability in managing data and supporting structural changes effectively.
✨Tip Number 2
Brush up on your Excel skills, especially in data manipulation and formula creation. Being proficient in Excel will not only help you manage large datasets but also enable you to generate insightful reports that can impress the hiring team.
✨Tip Number 3
Showcase your attention to detail by preparing examples of how you've maintained data accuracy in previous roles. This could involve discussing specific projects where your meticulousness led to improved data quality or compliance.
✨Tip Number 4
Network with current or former employees in HR roles, particularly those who have worked with data systems. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the interview process.
We think you need these skills to ace Human Resources Officer, Data Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data management and HR systems. Emphasise your attention to detail and any relevant software skills, particularly with Microsoft Excel and HRIS like Dayforce.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about data accuracy and how your skills align with the responsibilities of the Data/Systems HR Officer role. Mention specific examples of your previous work that demonstrate your analytical and problem-solving abilities.
Showcase Relevant Experience: When detailing your work history, focus on roles where you managed large datasets or generated reports. Highlight any experience you have with compliance and data protection principles, as these are crucial for this position.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. Given the emphasis on data accuracy in the job description, presenting a flawless application will reflect your attention to detail and professionalism.
How to prepare for a job interview at bet365
✨Showcase Your Attention to Detail
As a Human Resources Officer focusing on data systems, it's crucial to demonstrate your meticulous attention to detail. Prepare examples from your past experiences where your accuracy in data management made a significant impact.
✨Familiarise Yourself with HRIS
If you have experience with HR Information Systems like Dayforce, make sure to highlight this during the interview. If not, do some research on how these systems work and be ready to discuss how you would approach learning them quickly.
✨Prepare for Data-Related Questions
Expect questions that assess your analytical and problem-solving skills. Be prepared to discuss how you've handled large datasets in the past, including any challenges you faced and how you overcame them.
✨Communicate Effectively
Since excellent communication skills are essential for this role, practice articulating your thoughts clearly. Think about how you can convey complex data insights in a straightforward manner, as you'll need to communicate with various stakeholders.
