Data Analyst Apprentice
FOURTEEN (NORTH WEST) LTD
ENGLAND (BL1 2HB)
Closes in 30 days (Thursday 23 July 2026)
Posted on 23 June 2026
Contents
Summary
We are looking for a passionate Junior Data Analyst. The successful candidate will have a keen eye for detail, a willingness to learn and an understanding of the link between data, insights, and business decisions. Thebestofnorthwest is a leading business marketing, networking, and community platform dedicated to helping local businesses.
- Wage
-
£17,550 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, 9.00am to 5.00pm.
37 hours 30 minutes a week
- Start date
-
Friday 24 July 2026
- Duration
-
1 year 8 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
Junior Data Analyst Job Duties
Junior Data Analyst responsibilities involve taking part in full lifecycle analysis to include requirements, activities and design. Junior Data Analysts will develop data analytics and reporting solutions. They will also monitor performance and quality control plans to maintain robust data integrity and consistency.
Responsibilities
- Develop and implement databases, data collection systems and data engineering solutions that optimise reporting efficiency and clarity.
- Acquire data from primary or secondary data sources and maintain databases/data lakes.
- Interpret data, analyse results using statistical techniques and provide ongoing reports.
- Identify, analyse, and interpret trends or patterns in complex data sets.
- Filter and “clean” data by reviewing raw data, reports, and performance indicators to locate and correct code problems.
- Work with management to prioritise business and information needs.
- Locate and define new process improvement opportunities.
Where you'll work
CROFT HOUSE
ST GEORGES SQUARE
BOLTON
ENGLAND
BL1 2HB
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
NOWSKILLS LIMITED
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
Training schedule
Off-the-job training (OTJ): As part of the apprenticeship, apprentices are entitled to a minimum of 6 hours per week of paid OTJ training. During their OTJ time allocated by their employer, apprentices will complete coursework, attend training, and study.
Within 4-6 weeks of you beginning work at the organisation, your Tutor will make contact by email with you and your and Mentor to arrange a mutually convenient Induction date. Subsequent 1:1 Training and review sessions will take place monthly either at the employers premises or as a live virtual meeting.
You will also attend 5 live virtual training sessions. Dates will be confirmed during Induction. These training sessions are live, online and take place Monday - Thursday, from 9.30am - 4.30 pm.
More training information
Key features of this NowSkills apprenticeship: Live virtual training, Monthly 1:1 review sessions, social enrichment sessions, Expert Series guest speakers, LinkedIn Learning, uCertify, and G-Metrix platform access. The latest tools, including Power BI, Power Query, Excel, Python and much, much more.
Requirements
Desirable qualifications
A Level in:
- Computer Science (grade B)
- Maths (grade B)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Problem solving skills
- Number skills
- Analytical skills
- Logical
Other requirements
The Type of Person We're Looking For:
We're looking for an ambitious, energetic, and people-focused individual who genuinely enjoys building relationships and helping businesses succeed.
The ideal candidate will be a confident communicator, proactive problem-solver, and natural networker who thrives in a fast-paced environment. They will be self-motivated, organised, and comfortable engaging with business owners, attending events, generating opportunities, and representing our brand within the local community.
A positive attitude, strong work ethic, and passion for supporting local businesses are essential. Experience in sales, marketing, customer service, networking, or business development would be advantageous, but enthusiasm, personality, and a willingness to learn are equally important.
Requirements and Skills:
- A good understanding of data concepts, particularly around structured and semi-structured data sets.
- Theoretical knowledge of SQL language. Any working experience would be a plus.
- Knowledge of at least one programming language. Python, R, Java, C#, etc.
- Proficiency in the use of Microsoft Excel.
- Experience of Microsoft Power BI would be a plus.
- Understanding of ETL platforms would be a plus.
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Good level of maths.
About this employer
We champion trusted businesses through innovative marketing, high-profile events, strategic networking opportunities, and strong community connections. Our mission is simple: to increase visibility, build credibility, and create meaningful relationships that help businesses thrive. From business fairs and networking events to digital marketing and content creation, we are passionate about supporting local success stories and creating opportunities for growth.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Data & Automation Manager.
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC2000038797.
Apply now
Closes in 30 days (Thursday 23 July 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.