At a Glance
- Tasks: Design advanced analytics models and visualisation tools to track workforce metrics.
- Company: Join a leading organisation committed to workplace fairness and data-driven decision-making.
- Benefits: Comprehensive benefits package and support for professional growth.
- Other info: Opportunity to work with cutting-edge technologies like AI and machine learning.
- Why this job: Make a real impact by driving a data-driven culture in HR and workforce analytics.
- Qualifications: 5+ years in workforce analytics, strong programming and communication skills required.
The predicted salary is between 60000 - 80000 € per year.
Responsibilities
- Support the design of advanced analytics models, data visualization, and reporting tools to track workforce metrics.
- Support the analysis of workforce data to uncover trends, risks, and opportunities that inform HR and business strategies.
- Partner with the Director, Workforce Analytics & Insights to develop predictive and prescriptive analytics that enable proactive decision‑making.
- Collaborate with key stakeholders to ensure seamless integration of workforce data across systems and processes.
- Act as a liaison between HR and other departments to ensure consistency and accuracy in workforce data usage.
- Support the implementation of cutting‑edge analytics platforms, tools, and technologies to enhance workforce data capabilities.
- Ensure data integrity, security, and compliance with relevant regulations.
- Explore emerging technologies such as AI and machine learning to optimize workforce analytics processes.
- Drive organizational adoption of workforce analytics by championing a data‑driven culture.
Qualifications
- 5+ years of experience in workforce analytics, HR analytics, or a closely related field.
- Experience with programming languages for advanced analytics, data cleaning, and automation.
- Experience with statistical analysis, predictive modeling, and data interpretation techniques.
- Experience with software used for advanced analytics, data management, business intelligence and predictive modeling (e.g., SAS, Databricks).
- Experience with data visualization platforms (e.g., Visier, Power BI).
- Knowledge of HR Information Systems (HRIS), SQL, relational database management, and data warehousing.
- Understanding of data governance, data privacy, and compliance requirements.
- Bachelor’s degree (BA/BS) or equivalent experience.
- Strong communication skills, with the ability to translate complex data into clear recommendations for diverse audiences.
- Demonstrated experience supporting organizational change, especially with respect to the adoption and scaling of analytics capabilities within HR or workforce functions.
Manager, Analytics & Insights, Workplace Fairness in London employer: Gsk
GSK is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the field of workforce analytics. With a commitment to employee growth, we offer comprehensive benefits and opportunities to work with cutting-edge technologies, ensuring our team members are equipped to drive impactful change. Located in a vibrant environment, our workplace encourages a data-driven culture that empowers employees to make meaningful contributions to HR and business strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Analytics & Insights, Workplace Fairness in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a role in analytics. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous analytics projects, data visualisations, and any predictive models you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions related to workforce analytics and practice your responses. Be ready to discuss how you've used data to drive decisions and improve processes in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Manager, Analytics & Insights, Workplace Fairness in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in workforce analytics and data visualisation. We want to see how your skills align with the responsibilities listed in the job description!
Showcase Your Technical Skills:Don’t forget to mention your experience with programming languages and analytics tools like SAS or Power BI. We love seeing candidates who can demonstrate their technical prowess in advanced analytics and data management.
Communicate Clearly:When writing your application, keep it clear and concise. We appreciate candidates who can translate complex data into straightforward recommendations, so show us you can do just that!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Gsk
✨Know Your Analytics Tools
Make sure you’re familiar with the specific analytics tools mentioned in the job description, like SAS and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past roles to drive insights and decision-making.
✨Showcase Your Data Storytelling Skills
Prepare to explain complex data findings in a way that’s easy to understand. Think of examples where you’ve successfully communicated insights to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between data and actionable business strategies.
✨Understand Workforce Trends
Research current trends in workforce analytics and be prepared to discuss how they might impact the company. This shows that you’re not just technically skilled but also aware of the broader context in which your work will take place.
✨Prepare Questions for Them
Have a few thoughtful questions ready about their current analytics initiatives or challenges they face. This not only shows your interest in the role but also gives you insight into how you can contribute to their goals.
