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For Companies At a Glance
- Tasks: Analyse HR data to drive decisions on recruitment, retention, and employee engagement.
- Company: Join Laing O'Rourke, a leader in construction and engineering with ambitious diversity goals.
- Benefits: Enjoy a competitive salary, benefits package, and car allowance.
- Why this job: Make a real impact on employee wellbeing and company culture through data-driven insights.
- Qualifications: 5+ years as a Data Analyst in HR; advanced Excel and Power BI skills required.
- Other info: Opportunity for growth in a collaborative environment focused on innovation.
The predicted salary is between 36000 - 60000 £ per year.
Data Analyst (HR Function) / Power BI / Excel)
Location: Dartford
Salary: Competitive base + Benefits & Car Allowance
Job Type: Permanent
We are looking for an experienced data analyst to inform and influence decision making in the People Function around benefits, policies, retention, recruitment and employee engagement. We have ambitious diversity targets and this role is critical in ensuring we make data-driven decisions to support our business strategy.
Key Accountabilities
- Collate, analyse, and interpret people data, including employee demographics, turnover, recruitment metrics, and performance data.
- Present findings in an engaging, concise manner with clear recommendations.
- Work with the systems team to improve People dashboards and reports to track targets and provide insights for decision-making.
- Work with the resourcing team to record and understand recruitment data and identify problem areas and recommendations for improvements.
- Collaborate on workforce planning to support forecasting of future recruitment needs.
- Identify patterns and trends, both internal and external, that support the People Function strategy development and future initiatives.
- Support our People Function Engagement Lead to analyse employee surveys, feedback, and engagement data to provide insights that improve employee engagement, wellbeing and retention.
Technical Capabilities or Required Qualifications
- Advanced ability in Excel and Power BI.
- Proven experience (5 years plus) as a Data Analyst within the HR / People or related function
- Strong understanding of HR processes and metrics (recruitment, retention, performance management, learning and development).
- Degree or certification in a relevant field (Data Science, HR, Business, etc) desirable.
- Experience working with SAP SuccessFactors is desirable.
Skills and attributes required
- Ability to derive meaningful insights from complex data sets and communicate them effectively to business leaders in simple terms.
- Ability to draw together data from different sources to carry out detailed analysis.
- Excellent written and verbal communication skills to present findings and influence decision-making.
- Meticulous attention to detail with a focus on data accuracy and quality.
- Proactive and with the ability to work independently
- Flexible and able to collaborate effectively across the People function and the wider business.
Data Analyst (HR Function) / Power BI / Excel) employer: Laing O'Rourke
Contact Detail:
Laing O'Rourke Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (HR Function) / Power BI / Excel)
✨Tip Number 1
Familiarise yourself with the specific HR metrics and data analysis techniques that are relevant to this role. Understanding key performance indicators in HR will help you demonstrate your expertise during interviews.
✨Tip Number 2
Brush up on your Power BI skills, especially in creating dashboards and visualisations. Being able to showcase your ability to present data effectively can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the HR analytics field. Engaging with others in the industry can provide insights into current trends and challenges, which you can discuss during your interview.
✨Tip Number 4
Prepare to discuss real-world examples of how you've used data to influence HR decisions in previous roles. Concrete examples will help illustrate your problem-solving skills and analytical thinking.
We think you need these skills to ace Data Analyst (HR Function) / Power BI / Excel)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, particularly in HR functions. Emphasise your proficiency in Excel and Power BI, and include specific examples of how you've used these tools to drive decision-making.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with the company's goals. Mention your understanding of HR processes and how you can contribute to their diversity targets through data-driven insights.
Showcase Relevant Experience: When detailing your work history, focus on your achievements as a Data Analyst. Use metrics to demonstrate your impact, such as improvements in employee engagement or retention rates resulting from your analyses.
Prepare for Potential Questions: Anticipate questions related to your analytical methods and how you communicate findings to non-technical stakeholders. Be ready to discuss specific projects where you identified trends and made recommendations based on your data analysis.
How to prepare for a job interview at Laing O'Rourke
✨Showcase Your Technical Skills
Make sure to highlight your advanced abilities in Excel and Power BI during the interview. Be prepared to discuss specific projects where you've used these tools to analyse data and present findings.
✨Understand HR Metrics
Familiarise yourself with key HR metrics such as turnover rates, recruitment metrics, and employee engagement scores. Being able to discuss these concepts will demonstrate your understanding of the role and its impact on the business.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to HR data analysis. Practice articulating your thought process and how you would approach analysing data to inform decision-making.
✨Communicate Clearly and Concisely
Since the role involves presenting findings to business leaders, practice summarising complex data insights into simple, actionable recommendations. Clear communication is key to influencing decision-making.
