At a Glance
- Tasks: Analyse data to drive improvements in Customer Services and Sales & Demand Planning.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, 25-28 days holiday, private healthcare, and pension contributions.
- Other info: Gain exposure to live projects and complete a Level 4 AI and Automation Apprenticeship.
- Why this job: Make a real impact by turning data insights into actionable improvements.
- Qualifications: Foundation in data analytics and a passion for problem-solving.
The predicted salary is between 25000 - 32000 £ per year.
This opportunity sits within our Operations function and supports a growing portfolio of data-driven improvement projects across Customer Services and Sales & Demand Planning. The role has been created to strengthen internal analytical capability and help teams turn data into practical improvements across day-to-day operations. As our Graduate Data Analyst, you’ll help improve visibility, decision-making and performance across key operational processes. This role is ideal for someone who already has a foundation in data analytics and is looking for the chance to apply those skills in a live business environment where insight can quickly become action.
Based on the business rationale, the role is focused on improving analytical capability and supporting a pipeline of data-led operational improvement initiatives. What’s in it for you? You’ll join a role designed to build analytical capability across the business while giving you exposure to genuine operational challenges and improvement initiatives. From day one, you’ll work on live projects that matter and contribute to how we manage service, reporting and planning performance.
You’ll support and contribute to a range of important initiatives including:
- Key Initiatives
- Order Book Management
- Power BI Dashboard development and reporting
- Delivery Performance Live Reporting
- Performance Metrics and Standardisation
- Identification of Automation and AI opportunities across processes
You’ll also have the opportunity to complete a newly formed Level 4 AI and Automation Practitioner Apprenticeship, giving you a strong platform for both technical development and future progression.
The Rewards: You will be rewarded with a competitive salary and a sweep of great benefits. We pride ourselves on our total reward package:
- Holiday: 25 days rising to 28 days with service, plus bank holidays
- A company pension contribution of up to 10%
- Private healthcare for you, with the option to add family
- Group life cover at 6x your annual salary
- Global Income Protection (PHI)
- Enhanced maternity and paternity pay
- Staff discount platform & Cycle to Work scheme
- Dedicated Service Awards for reaching key milestones
- Selected discounted Sika products
The Support: This role is designed as a development opportunity, giving you exposure to a broad operational environment while working on real business priorities. Supported by a mentor, you will identify key learning goals which align to your specific career goals and skills requirement. You’ll be part of a business that values learning, collaboration and continuous improvement, with structured support and development from the outset.
Graduate Data Analyst employer: Sika Schweiz AG (Group)
As a Graduate Data Analyst, you will thrive in a dynamic and supportive work environment that prioritises employee growth and development. With access to a comprehensive benefits package, including a competitive salary, generous holiday allowance, and opportunities for professional advancement through initiatives like the Level 4 AI and Automation Practitioner Apprenticeship, you will be empowered to make a meaningful impact on operational processes from day one. Join a culture that values collaboration, continuous improvement, and real-world problem-solving, all while working on live projects that drive the business forward.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your studies or projects to demonstrate how you can turn data into actionable insights.
✨Tip Number 3
Don’t just apply for jobs; engage with the company! Follow them on social media, comment on their posts, and show genuine interest in their work. This can help you stand out when it comes to interviews.
✨Tip Number 4
Apply through our website for the best chance of landing that Graduate Data Analyst role. We love seeing candidates who take the initiative to connect directly with us!
We think you need these skills to ace Graduate Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Graduate Data Analyst role. Highlight any data analytics projects or coursework you've done, and don’t forget to mention your familiarity with tools like Power BI!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our operations. Be specific about what excites you about the role and how you see yourself making an impact.
Showcase Your Analytical Skills:In your application, give examples of how you've used data to drive decisions or improvements in past projects. We love seeing real-world applications of your analytical skills, so don’t hold back on sharing your successes!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Sika Schweiz AG (Group)
✨Know Your Data
Brush up on your data analytics skills before the interview. Be prepared to discuss specific tools and techniques you've used, especially in relation to Power BI or any other relevant software. Showing that you can translate data into actionable insights will impress the interviewers.
✨Understand the Business
Research the company’s operations and how they use data to drive improvements. Familiarise yourself with their key initiatives like Order Book Management and Delivery Performance. This knowledge will help you demonstrate your genuine interest in the role and how you can contribute from day one.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems using data. Practice articulating your thought process clearly. For example, how would you identify automation opportunities? This will showcase your analytical thinking and problem-solving skills.
✨Show Enthusiasm for Learning
Since this role is a development opportunity, express your eagerness to learn and grow. Mention the Level 4 AI and Automation Practitioner Apprenticeship and how it aligns with your career goals. This shows that you’re not just looking for a job, but a chance to build a future with the company.
