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Data Analyst Apprentice

The Interflex Group

Apprenticeship
Sunderland£16,640 per yearA-levels or equivalentTech & DigitalPosted 23 June 2026
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Closing soon — 7 days left!

About this role

Wage: £16,640 a year
Training course: Data analyst (level 4)
Hours: 8.30am - 4.30pm, Monday to Friday.
Start date: Tuesday 1 September 2026
Duration: 2 years
Positions available: 1

Summary

The primary function of the Data Analyst role will be to promoting the use of data across the business by building effect tools and reports.

Wage £16,640 a year Minimum wage rates (opens in new tab) £8.00 an hour for first 6 months probationary period and incremental rises. Training course Data analyst (level 4) Hours 8.30am - 4.30pm, Monday to Friday. 40 hours a week Start date Tuesday 1 September 2026 Duration 2 years Positions available 1

What you'll do at work

Creating reports and dashboards across various functions in the business Helping department managers understand reports and dashboards and how to implement their use Looking for areas of improvement in our current use of data Promote the use of data to make business decisions Manage the distribution of regular data reports

Where you'll work

West Quay Road Sunderland Enterprise ParkSunderlandSR5 2TE

Training

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

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 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

Training schedule

Level 4 Data Analyst:

All training is carried out in the workplace.

Essential qualifications

GCSE in:

English (grade 4-9)Maths (grade 4-9)

Desirable qualifications

A Level in:

Business (grade C-A)IT (grade C-A)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

Communication skillsIT skillsAttention to detailOrganisation skillsAnalytical skillsLogicalTeam workingInitiativeNon judgemental

About this employer

The Interflex Group is a leading supplier of printed and converted flexible packaging materials to the UK and European food industry. Key business strengths include premium quality, flexibility and innovation.

InterFlex group has sites in Dalkeith, Sunderland and Scunthorpe. The Sunderland plant is a 98,000 sq. ft modern flexible packaging site constructed in 1999. Production lines include flexographic printing up to 10 colours, film and paper laminates, cold seal and heat seal and barrier coatings along with stand up pouches and slit reel printed packaging.

Product range: single layer films and papers; laminated and coated films; paper/film/foil laminates; lidding films.

Market segments include: food packaging (bakery, snacks and meat produce); pet care; consumer and industrial packaging.

https://www.interflexgroup.com (opens in new tab)

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

There may be the possibility of full time employment upon successful completion of the apprenticeship.

What you need

  • GCSE in:
  • English (grade 4-9)Maths (grade 4-9)

Interested in this role?

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