FOURTEEN (NORTH WEST) LTD
Wage: £17,550 a year
Training course: Data analyst (level 4)
Hours: Monday to Friday, 9.00am to 5.00pm.
Start date: Friday 24 July 2026
Duration: 1 year 8 months
Positions available: 1
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 Minimum wage rates (opens in new tab) 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
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.
CROFT HOUSEST GEORGES SQUAREBOLTONENGLANDBL1 2HB
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Course contents Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Designimplement the stages of the data analysis lifecycleapply principles of data classification within data analysis activityanalyse data sets taking account of different data structures and database designsassess the impact on user experience and domain context on data analysis activityidentify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriateundertake customer requirements analysis and implement findings in data analytics planning and outputsidentify data sources and the risks and challenges to combination within data analysis activityapply organizational architecture requirements to data analysis activitiesapply statistical methodologies to data analysis tasksapply predictive analytics in the collation and use of datacollaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audienceuse a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in datacollate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphsselect and apply the most appropriate data tools to achieve the optimum outcomeUse data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Designimplement the stages of the data analysis lifecycleapply principles of data classification within data analysis activityanalyse data sets taking account of different data structures and database designsassess the impact on user experience and domain context on data analysis activityidentify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriateundertake customer requirements analysis and implement findings in data analytics planning and outputsidentify data sources and the risks and challenges to combination within data analysis activityapply organizational architecture requirements to data analysis activitiesapply statistical methodologies to data analysis tasksapply predictive analytics in the collation and use of datacollaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audienceuse a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in datacollate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphsselect and apply the most appropriate data tools to achieve the optimum outcome
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.
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.
Communication skillsProblem solving skillsNumber skillsAnalytical skillsLogical
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.
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Data & Automation Manager.
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