Data Analyst Apprenticeship

Summary

If someone is passionate about combining their love of fitness with technical data skills and eager to learn in a fast-paced, supportive environment, this apprenticeship is the perfect place to grow and make a real impact.

Wage

£18,000 a year

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£17,000-£19,000 per annum. 21 days annual leave plus Bank Holidays, plus your Birthday off. Extra holiday days for long service Free gym membership to their network of clubs across the UK. 50% off a gym membership for a friends or family member.

Training course

Data analyst (level 4)

Hours

Monday to Friday 9am-5pm.

37 hours 30 minutes a week

Start date

Monday 21 July 2025

Duration

1 year 6 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

Design, develop and maintain SSRS reports and SQL queries to support business operations.
Optimise SQL views for Tableau, ensuring clear and structured data presentation.
Manage and maintain SQL databases, including indexing, stored procedures and SSIS package management.
Troubleshoot and resolve SQL performance issues and database errors.
Develop and support API integrations between SQL databases and business systems.
Collaborate with development team to scope, test and deploy system integrations.
Assist with website development testing where database integration is required.

Where you'll work

Whelco Place
Enfield Industrial Estate
Enfield Street Pemberton
Wigan
WN5 8DB

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

BALTIC TRAINING SERVICES LIMITED

Your training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome
Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome

Your training plan

Your training will be delivered in blocks every 4-6 weeks; this will be in our online classrooms. You will be working with a specialist coach from Baltic Apprenticeships throughout the process.

Requirements

Essential qualifications

GCSE in:

English (grade 4)
Maths (grade 5)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
Attention to detail
Organisation skills
Customer care skills
Problem solving skills
Logical
Team working
Initiative
Knowledge of SQL
Knowledge of Python

About this company

Fitness First UK, a pioneer in personalised fitness and wellness experiences, is on the hunt for a motivated Data Analyst Apprentice ready to dive deep into the world of data. This is more than just crunching numbers — it’s about shaping how millions of members engage with their fitness journeys through smart, data-driven insights. The apprentice will get hands-on with managing and maintaining SQL databases, troubleshooting and resolving issues to keep data flowing smoothly, and designing, developing, and maintaining powerful SQL queries that unlock critical business intelligence. By turning raw data into clear, actionable insights, they will help Fitness First deliver innovative, personalised fitness experiences that truly make a difference.

Company benefits

Full training and daily support, plus career progression opportunities. Access to additional training to support your professional development. Exclusive employee discount scheme. Dress down Friday's. Free on-site parking.

After this apprenticeship

This apprenticeship provides the skills, qualification and experience you need to immerse yourself within an exciting, fast-moving industry and become an effective Data Analyst.

Ask a question

The contact for this apprenticeship is:

BALTIC TRAINING SERVICES LIMITED

Oliver Jackson

oliver.jackson@balticapprenticeships.com

The reference code for this apprenticeship is VAC1000328042.

Apply now

Closes in 18 days (Monday 14 July 2025)

When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.

After signing in, you’ll apply for this apprenticeship on the company's website.

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