At a Glance
- Tasks: Transform raw data into actionable insights to support strategic decisions.
- Company: Join Knauf, a global leader in construction materials with a values-led culture.
- Benefits: Enjoy a salary up to £25,000, paid leave for community work, and health benefits.
- Other info: Work from our Sittingbourne office 3-4 days a week; reliable transport needed.
- Why this job: Build a unique career while learning data analysis in a supportive environment.
- Qualifications: Level 3 qualification or equivalent experience; strong analytical skills required.
Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics or Maths will not be eligible. You will also need to commit to completing a Level 4 Data Analyst Apprenticeship.
Knauf stands for opportunity. We know that opportunity looks different to each person and we are proud that we see opportunity in everyone. This exciting role within the Supply Chain Team (Service, Logistics and Planning) could be the perfect next opportunity for you to build a unique career, in a values-led culture with a clear purpose of making tomorrow a home for all of us. As a Group we are a global manufacturer of construction materials and our 41,500 team members in 90 countries across 300 sites provide a huge opportunity for anyone with ambition and energy. We value everyone's contribution equally and we ask that you bring your whole self to work, to enrich the business further, as together we achieve more in a safe and inclusive environment.
We are currently recruiting for a Data Analyst Apprentice at our Head Office in Sittingbourne. Within this role, you will be completing a Level 4 Data Analyst Apprenticeship. You will learn how to use dashboard and visualisation tools alongside programming languages for data analysis including SQL, Python and R, completing the below topics:
- Data classification
- The data lifecycle
- Structured and unstructured data
- Requirements for data analysts
- Quality issues for data analysis
- Data visualisation
- Compliance and audit administration
- Data structures
- Database design, implementation and maintenance
- Data architecture
- Domain context for data analytics
The purpose of the Data Analyst Apprentice is to transform raw data into meaningful and actionable insights that support strategic decision-making and drive business improvements. This position involves collecting, processing, and analysing data to identify trends, patterns, and anomalies. The Data Analyst collaborates with cross-functional teams to understand their needs, provides accurate reports and visualisations, and ensures the integrity and quality of the data. The Data Analyst contributes to enhancing operational efficiency by using data tools and analysis to encourage data-driven improvements within the organisation.
What we’d love for you to have:
- Level 3 qualification (such as A-levels in STEM subjects, Statistics, Maths or BTEC equivalent) or equivalent work experience.
- GCSE's in English and Maths at grade 4 or above.
- Strong analytical skills and some experience with Microsoft Excel, particularly functionalities like pivot tables and XLookup.
We’ll provide:
- An annual salary of up to £25,000.
- Three paid days leave for community, charitable, or voluntary commitments.
- 7% employer pension contribution.
- Level 3 Westfield Cashplan Healthcare.
- Income Protection
- Access to a Reward & Benefits platform.
- Access to Employee Assistance Program (legal or medical advice).
- Life Assurance (x 4 times your basic salary).
- Cycle to Work Scheme and Tech Scheme.
This role requires you to work from our Office in Sittingbourne 3-4 days per week. Our office is in a remote location with no access to public transport. Applicants will need to have reliable transport to commute to and from site.
Knauf - Supply Chain Data Analyst in Birmingham employer: Digital Native
Knauf is an exceptional employer that champions opportunity and inclusivity, making it an ideal place for aspiring data analysts to kickstart their careers. With a strong commitment to employee growth through comprehensive apprenticeship programmes, a supportive work culture, and attractive benefits such as a competitive salary, healthcare plans, and community leave, Knauf fosters an environment where every team member can thrive. Located in Sittingbourne, the role offers a unique chance to be part of a global leader in construction materials, contributing to meaningful projects while enjoying a safe and collaborative workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Knauf - Supply Chain Data Analyst in Birmingham
✨Tip Number 1
Familiarise yourself with the tools and programming languages mentioned in the job description, such as SQL, Python, and R. Having a basic understanding of these will not only help you during the apprenticeship but also show your enthusiasm and readiness to learn.
✨Tip Number 2
Research Knauf and their values to understand their company culture better. This knowledge can help you align your responses during any interviews or discussions, demonstrating that you're a good fit for their team.
✨Tip Number 3
Network with current or former employees of Knauf on platforms like LinkedIn. Engaging with them can provide you with insider insights about the role and the company, which can be invaluable during the application process.
✨Tip Number 4
Prepare to discuss your analytical skills and any relevant projects or experiences you've had, even if they are academic. Being able to articulate how you've used data to solve problems will make you stand out as a candidate.
We think you need these skills to ace Knauf - Supply Chain Data Analyst in Birmingham
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the Supply Chain Data Analyst position. Familiarise yourself with the skills needed, such as data analysis, SQL, Python, and Excel functionalities.
Tailor Your CV:Customise your CV to highlight relevant skills and experiences that align with the job description. Emphasise any analytical skills, coursework, or projects related to data analysis, and ensure you meet the Level 3 qualification requirement.
Craft a Strong Cover Letter:Write a compelling cover letter that showcases your enthusiasm for the role and the company. Mention why you are interested in the apprenticeship and how your background makes you a suitable candidate for the position.
Proofread Your Application:Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is accurate and presented clearly. A polished application reflects your attention to detail.
How to prepare for a job interview at Digital Native
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Supply Chain Data Analyst. Familiarise yourself with data analysis concepts, tools like SQL and Python, and how they apply to supply chain management.
✨Showcase Your Analytical Skills
Prepare to discuss your analytical skills and any relevant experience you have with data analysis. Be ready to provide examples of how you've used data to drive decisions or improvements in previous roles or projects.
✨Demonstrate Team Collaboration
Since the role involves working with cross-functional teams, be prepared to talk about your experience collaborating with others. Highlight any instances where you successfully worked as part of a team to achieve a common goal.
✨Ask Insightful Questions
Prepare thoughtful questions to ask the interviewer about the company culture, the apprenticeship programme, and how success is measured in the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
