At a Glance
- Tasks: Transform data into insights, develop dashboards, and support business decisions.
- Company: Join a top-rated company known for its supportive culture and career growth.
- Benefits: Enjoy a 4.5-day work week, 25+ days leave, and mental health support.
- Other info: Collaborative environment with opportunities for social events and personal development.
- Why this job: Kickstart your career in data with a clear path to becoming a Data Scientist.
- Qualifications: Proactive attitude, interest in data, and experience with BI tools like Tableau.
Job Title: Data Analyst Apprenticeship (Level 4)
Contract: Apprenticeship
Location: Head Office (Pioneer House, Morton Park, Darlington)
Department: Technology Operations
Salary: £24,000 per annum
Reports to: Junior Data Operations Manager
This apprenticeship role also offers a career progression opportunity to progress into a Data Scientist (Level 6).
This is your opportunity to build a long-term career in data and analytics. We’re committed to helping you grow from a Data Analyst Apprentice into a Data Scientist, with a structured pathway designed to support your career every step of the way!
As a Data Analyst Apprentice, you’ll play an important role in transforming data into meaningful insights that support business decisions. Working closely with our Business Intelligence team, you’ll analyse data, develop dashboards and reports, and help identify opportunities to improve performance across the organisation.
You’ll develop your technical and analytical skills while working with modern reporting and visualisation tools such as Tableau, gaining valuable hands‑on experience in a supportive and collaborative environment.
Alongside your day‑to‑day role, you’ll complete a Level 4 Data Analyst apprenticeship, applying your learning to real business challenges from day one. On successful completion, you’ll progress into more advanced analytical roles and, we’ll support your continued development through a Level 6 Data Science apprenticeship, providing a clear pathway into advanced analytics and machine learning.
Responsibilities
- Analyse business performance data to identify trends, patterns and opportunities for improvement.
- Design, develop and maintain dashboards and reports in Tableau for stakeholders across the business.
- Work with stakeholders to understand reporting requirements and recommend appropriate analytical solutions.
- Investigate data quality issues and work with colleagues to resolve discrepancies.
- Present analytical findings in a clear and meaningful way to both technical and non-technical audiences.
- Support the Data Operations Manager in delivering reporting and analytical projects.
- Contribute to continuous improvement of reporting processes, data quality and documentation.
- Maintain awareness of data governance, confidentiality and GDPR requirements.
Qualifications
- A proactive attitude and willingness to take initiative.
- A genuine interest in data, analytics, and digital technologies.
- Strong attention to detail and a commitment to producing accurate work.
- Excellent written and verbal communication skills.
- The ability to manage multiple tasks and prioritise workloads effectively.
- A collaborative approach and confidence working with stakeholders across different departments.
- A willingness to learn new technologies and continually develop analytical skills.
- Experience creating reports or dashboards using Tableau, Power BI or similar BI tools.
- An understanding of data quality and the importance of producing reliable insights.
Benefits
At Baltic, we’re committed to creating an environment where you can thrive – professionally, personally, and socially. Voted one of the Sunday Times Top 100 Best Places to Work 2024, we’re proud of our culture, our people, and the meaningful work we do every day.
Culture & Work-Life Balance
- A fun, supportive environment with regular social events and team activities
- Early finish every Friday – we operate a 4.5-day working week
- 25+ days annual leave, increasing to 30 with length of service
- No weekend or Bank Holiday working
- Full office closure between Christmas and New Year
- Additional Life Event Day annually for those big moments that matter
- Buy & Sell Holiday Scheme for extra flexibility
Health & Wellbeing
- Free, confidential mental health support through SPILL
- Access to high-value wellbeing initiatives, including face‑to‑face sessions with a Health & Wellbeing Specialist
- Local discounted gym memberships
- Enhanced maternity and paternity leave (after 2 years’ service)
Recognition & Engagement
- Baltic Scratch Card Scheme – instant wins for great work
- Baltic Breakfasts, competitions, and engagement days
- Volunteer Day annually to give back to causes you care about
Core Values
- Be the Expert: Continuously develop deep knowledge of systems, processes, and business operations to deliver reliable, data‑driven insights and solutions that improve performance and efficiency.
- Be the Customer: Deliver responsive, tailored support to internal teams and stakeholders – understanding their needs and challenges to ensure smooth, effective service delivery.
- Be the Future: Champion continuous improvement initiatives by identifying process gaps and innovation opportunities, helping the organisation scale sustainably and stay ahead in a dynamic environment.
We welcome applications from candidates of all backgrounds. However, please note that we’re currently unable to offer visa sponsorship, so you’ll need to have existing right to work in the UK to be considered for this role.
Data Analyst Apprentice employer: balticapprenticeships
balticapprenticeships is an excellent employer for those looking to make a meaningful impact in the IT sector. With a strong focus on personal and professional development, employees benefit from a supportive work culture, generous annual leave, and a unique 4.5-day working week that promotes work-life balance. Join us in Tees Valley, where your contributions will help shape the future of tech talent in a collaborative and nurturing environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst 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 balticapprenticeships.
✨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 balticapprenticeships and show them you’re genuinely passionate about the field.
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 balticapprenticeships 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 balticapprenticeships
✨Brush Up on the Basics
Before your interview with balticapprenticeships, 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 balticapprenticeships. 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!
