At a Glance
- Tasks: Collaborate across teams to manage data and support impactful advertising campaigns.
- Company: Join a dynamic marketing group focused on innovation and growth.
- Benefits: Enjoy a 9-day fortnight, competitive salary, and a supportive work environment.
- Other info: Exciting opportunities for growth and potential full-time roles after the apprenticeship.
- Why this job: Kickstart your career in tech and media while making a real difference.
- Qualifications: Eager learners with GCSEs in Maths and English; STEM subjects are a plus.
The predicted salary is between 15600 - 15600 £ per year.
What you'll be doing:
- Work with multiple departments (Client Team, AV, Online, Print) to understand how we create impactful campaigns, eventually taking ownership of key data processes.
- Use tools like SQL, Python, and cloud platforms to collect, manage, and structure large datasets, uncovering media, market, and audience insights that shape client strategies.
- Become an expert user of our in-house reporting technologies, supporting teams across the business to maximise their adoption and impact.
- Learn the full campaign lifecycle - from initial briefing to optimisation and post campaign analysis - supporting data driven decision making at every stage.
- Work with the team to maintain high data integrity, establish consistency models, document governance processes, and ensure accurate data input.
- Act as a key contact for advertising schedule adjustments and data optimisations to drive continuous performance improvements.
- Support analysis and process improvements, ensuring data accuracy and consistency across platforms.
- Develop expertise in reporting tools across TV, online media, print, and digital channels.
- Gain hands-on experience with platforms and tools such as SQL, Python, Azure, Google Analytics, and Adverity.
Who you will be:
- Eager and passionate about starting your career within the technology landscape of advertising & media.
- A people person, great at building relationships, eager to learn, and able to explain subjects to those with little knowledge.
- Ideally have achieved level 9-5 (A-C) in Maths & English GCSE. Further education (A Levels) is beneficial, especially if you have a preference for STEM subjects - Computer Science is a plus but not essential.
- Have a keen eye for detail, as we need to get things right for our clients, with very little scope for error.
Skills required:
- Logical
Training to be provided:
This occupation is found in all sectors where data is generated or processed including but not limited to finance, retail, education, health, media, manufacturing and hospitality. The broad purpose of the occupation is to source, format and present data securely in a relevant way for analysis using basic methods; to communicate outcomes appropriate to the audience; analyse structured and unstructured data to support business outcomes; blend data from multiple sources as directed and apply legal and ethical principles when manipulating data.
You will learn how to do the following:
- Source data from a collection of already identified trusted sources in a secure manner.
- Collate and format data to facilitate processing and presentation for review and further advanced analysis by others.
- Present data for review and analysis by others, using required medium for example tables, charts and graphs.
- Blend data by combining data from various sources and formats to explore its relevance for the business needs.
- Analyse simple and complex structured and unstructured data to support business outcomes using basic statistical methods.
- Validate results of analysis using various techniques, e.g. cross checking, to identify faults in data results and to ensure data quality.
- Communicate results verbally, through reports and technical documentation and tailoring the message for the audience.
- Store, manage and share data securely in a compliant manner.
- Collaborate with people both internally and externally at all levels with a view to creating value from data.
- Practice continuous self-learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development.
Benefits:
We provide an exciting, fast-paced, people-first environment that allows everyone to grow, learn and thrive. We work a 9 day fortnight, meaning staff have every other Friday off! We've built a benefits package that invests in our employees' long term personal and professional growth and wellbeing. Potential of a full-time position is available for the right candidate upon successful completion of the apprenticeship.
Location: WHAT'S POSSIBLE MARKETING GROUP LIMITED, 94 White Lion Street, London, Greater London, United Kingdom, N1 9PF.
At a Glance:
- Salary: £15600 per year
- Working week: Monday to Friday
- Duration: 15 Months
Data Technician Apprentice employer: Skern Training
Bishop Ramsey C Of E School is an exceptional employer that fosters a supportive and inclusive Christian learning community for both staff and students. With a strong emphasis on professional development, apprentices will receive comprehensive training and mentorship while working in a dynamic environment that values collaboration and innovation. Located in Ruislip, the school offers a unique opportunity to contribute to the educational journey of young people while gaining valuable experience in IT support.
StudySmarter Expert Advice🤫
We think this is how you could land Data Technician Apprentice
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at Skern Training.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of Skern Training and show them you’re genuinely passionate about the field.
We think you need these skills to ace Data Technician Apprentice
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at Skern Training that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at Skern Training
✨Brush Up on the Basics
Before your interview with Skern Training, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at Skern Training. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!
