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For Companies At a Glance
- Tasks: Collect, clean, and analyse data while creating reports and visualisations.
- Company: Join the UK's largest construction-specific Flexi-Job Apprenticeship Agency, dedicated to sustainable employment.
- Benefits: Enjoy a paid apprenticeship with college training and hands-on experience in a dynamic environment.
- Why this job: Gain valuable skills in data analysis and work on real projects that impact your community.
- Qualifications: GCSE English and Maths at Grade 4/C or above; a passion for data is essential.
- Other info: This is a 24-month apprenticeship with opportunities for growth and learning.
An apprentice data analyst is responsible for collecting, inputting and outputting data, cleaning and preparing it for analysis, and creating basic reports and visualisations. They support more experienced analysts in modelling data and may also be involved in basic programming tasks. As they gain experience, apprentices are expected to learn new tools and techniques and take on more complex responsibilities in the field of data analysis. Duties may include:
- Identify data sources to meet the organisation\’s requirements using evidence-based decision making to create various data.
- Collaborating/working with clients and colleagues to determine reporting needs and deliver accurate information.
- Collect, compile and, if needed, cleanse data. Solving any problems that arise from a range of internal and external systems.
- Generate performance dashboards and reports during the Visualisation and Model Building phase.
- Maintain and develop reports for analysis, ensuring compliance with organisational policies and legislation.
- Create standard and non-standard statistical and data analysis reports
- Analyse and interpret data trends and patterns, drawing conclusions and providing guidance for understanding.
- Summarise and present data analysis results to stakeholders, offering recommendations.
- Ensure data storage and archiving align with relevant legislation, such as GDPR.
- Using databases including PowerBI, Python and Excel.
- Using programme languages such as SQL, HTML, JSONS etc.
Typical Working Week
40 hours p/w with start time typically between 07:00 & 08:00 inclusive of paid 8 hours at college.
Person Specification
- Proactive approach, taking pride in their work and taking accountability for decisions.
- A love of variety in a role and ability to adapt to a dynamic, fast-paced working environment
- Ability to quickly prioritise tasks and the initiative to dive head-first into problem solving
- No two days are the same on the front line and not every day goes to plan, so you’ll need to be quick on your feet to respond!
- Excellent communication and collaboration skills and enjoy working with multiple teams
- Ability to analyse and interpret information and effectively communicate this to different team members and audiences
- Ability to visit different sites and training days
- Curiosity to learn quickly in a reactive and dynamic working environment.
- Ability to work in all weather conditions to serve our customers and protect the environment
- Able to understand and follow health and safety protocols
Qualifications required/desirable
English and Maths at GCSE Grade 4 / C or above, or Functional Skills at Level 2 or above.
Desired Requirements
A high interest in developing your knowledge and understanding of key concepts and techniques that help organisations effectively use data to make decisions
Key Training/College Information
K10 will enrol you to the Level 4 Data Analyst course and fund your qualifications through an accredited training provider.
The apprenticeship duration is 24 months.
To start this apprenticeship, you’ll need to be:
- Living in England for the last 3 years and have right to work status
- Not enrolled on any other courses
- 18+ due to site H&S rules
Who We Are
We are UK’s largest construction-specific Flexi-Job Apprenticeship Agency. Founded in 2009, we are an award-winning social enterprise with a passion to convert potential.
Our aim is to place our learners in sustainable employment on projects in their local area. To do this, we collaborate with government, referral organisations, local authorities, developers, contractors, and colleges, to deliver apprenticeship programmes specifically designed to upskill the future of construction.
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Data Analyst Apprenticeship employer: K10 Apprenticeships Limited
Contact Detail:
K10 Apprenticeships Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Apprenticeship
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as PowerBI, Python, and SQL. Having a basic understanding of these tools will not only help you during the interview but also show your proactive approach to learning.
✨Tip Number 2
Practice your data visualisation skills by creating sample reports or dashboards. This hands-on experience can be a great talking point during interviews and demonstrates your ability to apply theoretical knowledge in practical scenarios.
✨Tip Number 3
Network with current data analysts or apprentices in the field. Engaging with professionals can provide insights into the role and may even lead to referrals or recommendations that could boost your application.
✨Tip Number 4
Stay updated on the latest trends in data analysis and construction. Showing that you are informed about industry developments can set you apart from other candidates and demonstrate your genuine interest in the field.
We think you need these skills to ace Data Analyst Apprenticeship
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Analyst Apprentice. Familiarise yourself with the skills required, such as data collection, cleaning, and basic programming tasks.
Tailor Your CV: Customise your CV to highlight relevant skills and experiences that align with the job description. Emphasise any experience with data analysis tools like PowerBI, Python, or SQL, and showcase your problem-solving abilities.
Craft a Compelling Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company. Mention specific examples of how your proactive approach and curiosity to learn can contribute to the team.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application demonstrates attention to detail.
How to prepare for a job interview at K10 Apprenticeships Limited
✨Show Your Analytical Skills
Be prepared to discuss your analytical skills and how you've used them in the past. Think of examples where you've collected, cleaned, or interpreted data, and be ready to explain your thought process.
✨Familiarise Yourself with Tools
Make sure you have a good understanding of the tools mentioned in the job description, such as PowerBI, Python, and SQL. If possible, brush up on your skills or complete a quick project using these tools to demonstrate your capability.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've faced challenges in data analysis and how you approached solving them. Highlight your proactive approach and adaptability.
✨Communicate Clearly
Since excellent communication is key, practice explaining complex data concepts in simple terms. Be ready to discuss how you would present data findings to different stakeholders, ensuring clarity and understanding.
