Data Apprenticeship

Launch your career in Data with Littlefish!

Join Littlefish as a Data Analyst Apprentice and start a career with one of the UK’s leading managed IT and technology service providers. Founded in 2003, Littlefish has grown into a successful and fast-growing business with offices across the UK and Ireland, supporting a wide range of customers with innovative technology solutions. Known for its people-first culture and commitment to development, Littlefish is a place where ambitious individuals can learn, grow, and build long-term careers.

They are looking for someone who is curious, motivated, and ready to learn. The ideal candidate will have a genuine interest in data and technology, a strong analytical mindset, and the confidence to solve problems through logical thinking. If they enjoy spotting trends, working with numbers, asking questions, and turning information into meaningful insights, this could be the perfect opportunity. Most importantly, they will bring enthusiasm, a positive attitude, and a willingness to develop new skills.

The successful candidate will be joining a supportive and experienced team who are passionate about helping others succeed. From day one, they will work alongside knowledgeable professionals who will mentor them, share their expertise, and help them build confidence in a real business environment. At Littlefish, teamwork and collaboration are at the heart of everything they do, ensuring they feel encouraged and supported throughout their development.

Alongside their day-to-day role, they will complete their apprenticeship training with Baltic Apprenticeships. This will include dedicated 2-day training blocks every 4–6 weeks, giving them structured time away from their usual duties to focus on developing their data analysis knowledge and skills. They will gain valuable industry-recognised learning while applying what they study directly into their role, helping them grow into a confident and capable Data Analyst.

In this role, you’ll work towards your Level 3 Data Technician qualification, delivered by our expert training team at Baltic Apprenticeships 

A Typical Day in the Job:  

• Monitoring demand against forecasted predictions, identifying any daily trends or anomalies.
• React to any changes in predictions, taking appropriate action to minimise any impact on required service levels. 
• Implement volume contingency action plan when deemed necessary.
• Complete analysis on previous 24 hour performance, identifying any reasons for forecast variance, recommending any changes to enhance forecast accuracy and effectiveness going forward.
• Maintain and manage Service Desk Engineers schedules for immediate 2 week period, ensuring resources meet operational requirements.
• Maintain the inContact WFI (workforce intelligence) rules, ensuring they system it utilised effectively to maintain SLA’s within the Service Desk.
• Maintain daily log of issues, advice given and actions taken.

Full training and support will be provided by your workplace mentor and from the team at Baltic Apprenticeships.  

Desired Qualities, Skills and Knowledge  

• Problem solving skills.
• Good communication skills.
• Analytical mindset.
• Motivated to work.
• Grade 5 in GCSE Maths and Grade 4 in GCSE English.

Salary, Hours & Benefits:  

• £17,800 per annum.
• 25 days annual leave plus bank holidays.
• Access to online learning platforms to support your development.
• Healthcare cash plan.
• Casual dress policy.
• Company social events.

This apprenticeship programme will provide you with everything you need to launch and develop your career in data. Afterwards, we’ll support you to take the next steps, including further training and progression onto a Level 4 qualification. 

Your Training with Baltic Apprenticeships  

Baltic Apprenticeships were the first training provider to offer a completely tech-focused, tech-driven training solution. We help people transform their knowledge and passion into skills that employers need. 

This apprenticeship will teach you essential data skills, including how to source, format and present data; data validation and analysis; and how to apply legal and ethical principles when gathering and manipulating business data. 

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