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For Companies At a Glance
- Tasks: Dive into data analytics, tackling real-world projects and building impactful insights.
- Company: Join a leading organisation with a commitment to diversity and inclusion.
- Benefits: Enjoy a competitive salary, excellent benefits, and professional development opportunities.
- Why this job: Gain hands-on experience in a dynamic field while collaborating with talented professionals.
- Qualifications: Must be in your penultimate year of study and eager to learn.
- Other info: Inclusive culture with various employee networks and support systems.
The predicted salary is between 25000 - 25000 £ per year.
Salary: £25,125 per annum + excellent benefits
Location: York
What will you do?
When you join our Data and Analytics Placement Scheme, you will embark on an exciting journey that offers hands-on experience in understanding the various aspects of data and analytics within a leading organisation. You will engage with diverse teams and work across a range of projects, including data collection, transformation, integration, and the development of data pipelines, as well as analysis and visualisation. You’ll face analytical challenges while receiving support from experienced mentors. We are committed to helping you build your expertise in data and analytics by providing opportunities to collaborate with cross-functional teams, work on real-world projects, and develop strategies that drive impactful insights.
What makes this Digital Data Analytics Placement exciting?
- Team collaboration: Join a team of talented Data Specialists, Data Engineers, and Analysts and be part of the exciting and ever changing world of data and analytics.
- Data pipeline management: Create and maintain data pipelines, ensuring smooth and efficient data flow for our reporting and analytics needs.
- Creative design: Unlock your creativity by designing and building analytics dashboards, tools and reports.
- Data architecture optimisation: Contribute to the optimisation and deployment of the supporting data architecture, including local databases and shared data domains.
- Innovative solutions development: Contribute to the development of innovative data integration solutions, data warehousing and data governance frameworks.
- Professional development: Develop expertise while working alongside experienced professionals, gaining valuable skills and knowledge to kick-start your career in this rapidly growing industry.
What will you learn?
- Portfolio management: Increase your skills in portfolio management as you manage a range of systems across several different streams within the business.
- Multi-tasking: Learn to effectively multi-task to ensure that we deliver outstanding IT services to our business and end users.
- Problem solving: Develop effective problem-solving techniques to address challenges and opportunities as they arise.
- Customer service: Deliver outstanding customer service to resolve all issues and requests from our employees.
- Security and compliance: Ensure that all our systems are consistently secure and compliant by maintaining robust security measures and adhering to relevant regulations and standards.
Our commitment to you…
- Inclusive culture, join our variety of employee run networks!
- Pastoral support
- Employee Assistance Programme
- Prayer rooms
- Various rewards and recognition opportunities
You will need to have the right to work in the UK that is not time-limited and does not require sponsorship under the Skilled Worker route either at the start of the scheme or on completion.
You will be in your penultimate year of study in any degree discipline—what’s also important is your commitment to the scheme and your willingness to learn.
The recruitment journey
After you click “apply” you’ll be prompted to answer a few questions to determine your eligibility for the scheme. If you qualify, we will invite you to complete an online assessment. Please do not upload a CV; instead we ask you to upload any relevant qualifications to support your application. Once you have completed this stage, we will notify you if you are selected to attend an assessment day which will be in February or March 2026. It may take time between assessment stages to get back to you; we really appreciate your patience.
Adjustments
We recognise that each candidate has unique needs, and we are committed to ensuring an inclusive application process. You will have the opportunity to discuss any specific requirements or adjustments you may need as you navigate through our recruitment process.
We may occasionally close job advertisements early in the event we receive sufficient applicants, so please don’t delay in submitting your application.
At Nestlé, our values are rooted in respect – for our employees, our customers and our consumers. That’s why championing diversity and inclusion is so important to us; when we embrace different perspectives and give everyone the chance to be the best they can be, we can think in new, creative ways that grow and enhance our business. We are committed to equal opportunity for all and we may collect relevant data for monitoring purposes during our candidate registration process.
Digital Data Analytics Placement employer: Nestlé SA
Contact Detail:
Nestlé SA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Data Analytics Placement
✨Tip Number 1
Get to know the company! Before your assessment day, do a bit of research on Nestlé and their values. Understanding their culture and what they stand for will help you connect better during interviews and show that you're genuinely interested.
✨Tip Number 2
Practice makes perfect! Try out some mock assessments or interview questions related to data analytics. This will not only boost your confidence but also help you articulate your thoughts clearly when faced with analytical challenges.
✨Tip Number 3
Show off your creativity! When discussing your ideas for data visualisation or dashboard design, don’t hold back. Share your innovative solutions and how they could impact the business – this is your chance to shine!
✨Tip Number 4
Don’t forget to network! Engage with current employees or alumni who have been through the placement scheme. They can provide valuable insights and tips that could give you an edge in the recruitment process. And remember, apply through our website for the best chance!
We think you need these skills to ace Digital Data Analytics Placement
Some tips for your application 🫡
Be Yourself: When filling out your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to show your enthusiasm for data and analytics.
Highlight Relevant Experience: Even if you haven’t worked in data analytics before, think about any projects or coursework that relate to the role. We love seeing how your background can contribute to our team!
Follow Instructions Carefully: Make sure to read the application guidelines thoroughly. We specifically ask for relevant qualifications instead of a CV, so stick to what we’ve requested to keep things smooth.
Apply Early: Don’t wait until the last minute to submit your application! We may close the job ad early if we get enough applicants, so get your application in through our website as soon as you can.
How to prepare for a job interview at Nestlé SA
✨Know Your Data
Before the interview, brush up on key data analytics concepts and tools relevant to the role. Familiarise yourself with data pipelines, visualisation techniques, and any specific software mentioned in the job description. This will show your enthusiasm and readiness to dive into the work.
✨Showcase Your Projects
Prepare to discuss any relevant projects or coursework that demonstrate your skills in data collection, transformation, and analysis. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This practical experience can set you apart from other candidates.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the types of projects you'll be working on, and how success is measured in the role. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
✨Emphasise Team Collaboration
Since this role involves working with diverse teams, highlight your teamwork experiences. Share examples of how you've collaborated effectively in the past, whether in academic settings or group projects. This will demonstrate your ability to thrive in a collaborative environment.
