At a Glance
- Tasks: Support the GPS Data Insights team by creating reports and automating outputs.
- Company: Join a leading company focused on data-driven HR solutions.
- Benefits: Enjoy competitive pay, 25 days holiday, healthcare, and wellness support.
- Other info: Hybrid work model with opportunities for professional growth.
- Why this job: Gain hands-on experience in data analytics while making a real impact.
- Qualifications: Pursuing a degree in Business Analytics or related field with strong data skills.
The predicted salary is between 20000 - 30000 £ per year.
This Fixed Term Contract is designed for students completing the second year of their undergraduate degree and undertaking a 12-month placement as part of their programme. The role supports the GPS Data Insights team and wider HR function by delivering recurring and ad-hoc reports, assisting with reporting request intake and triage, and identifying opportunities to automate standard outputs. Working with HR stakeholders across business units and global locations, the role helps develop and maintain divisional, regional, and departmental reporting from multiple data sources, ensuring data accuracy, quality, and alignment with business needs while building knowledge of core HCM data and HR reporting standards.
Responsibilities:
- Leverages multiple technology platforms, reporting and analytic tools to create divisional, regional, and/or department HR reports and analytics.
- Supports the collection, organization, and analysis of data directly from HCM, global HR dashboards and other external data sources (e.g. Gallup, McKinsey, Gartner etc.) when appropriate.
- Supports the development of presentations using a variety of data visualization tools.
- Responsible for the regular production and distribution of standard and/or simple/routine reports.
- Contributes to the organizational reporting & analytics continuous improvement strategy.
- Leverages intermediate level expertise across a variety of technology formats (Excel, Tableau, Oracle, etc.) to generate data downloads and query reporting.
- Develops a strong familiarity with all the reports and applications in the assigned areas of focus (e.g., Talent Acquisition, Core HR etc.).
Experience & Education:
- Excellent attention to detail and accuracy for data mining and reports.
- Understanding of how data and analytics can be used to support HR needs.
- Strong data mining and data analytics capabilities using a variety of reporting tools & technology (e.g. Excel, Tableau, PowerBI, VBA etc.).
- Solution-oriented, creative, and high level of integrity required.
- Strong organisational skills, ability to multi-task, and commitment to timely follow-up.
- Able to communicate professionally across a wide variety of employee levels and locations.
- Experience working with management-level stakeholders, HRBPs, and across multiple cultures & countries is required.
- Able to manage confidential and sensitive information in a professional manner.
- General awareness of HR processes as well as data governance and regulations, such as GDPR.
- Demonstrated interest in emerging reporting and analytics tools & technology.
- Seeking Industrial placement year as part of their undergraduate degree.
- Demonstrated success balancing multiple priorities.
- Currently undertaking an undergraduate degree in Business Analytics / Data Analytics or a closely related Business, HR or Finance degree, and plan on pursuing a career in a related field.
- Certification(s) in related software or data science preferred.
Benefits:
- Competitive compensation and a benefits package including 25 days holiday, pension scheme, healthcare cover, life assurance, access to our Wellness Platform to support mental health and wellbeing, a discounted contact lens scheme, and more.
All suitably qualified applicants will receive equal consideration and opportunities from CooperVision.
GPS Data Insights Specialist Placement (12 Month Fixed Term Contract) in Southampton employer: CooperVision
CooperVision is an excellent employer, offering a dynamic work environment in Southampton where Trainee Production Engineers can thrive. With a strong commitment to diversity and professional growth, employees benefit from hands-on experience and structured training that pave the way for career advancement. The competitive compensation package and supportive culture make it a rewarding place to build a meaningful career in packaging automation.
StudySmarter Expert Advice🤫
We think this is how you could land GPS Data Insights Specialist Placement (12 Month Fixed Term Contract) in Southampton
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at CooperVision.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like CooperVision a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like CooperVision.
We think you need these skills to ace GPS Data Insights Specialist Placement (12 Month Fixed Term Contract) in Southampton
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at CooperVision
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to CooperVision. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join CooperVision specifically. Let your motivation shine through!
