Data Analyst Apprentice

Summary

Are you passionate about data, analytics, and technology? Do you want to develop advanced data skills while working for one of the UK's leading furniture retailers? Barker and Stonehouse are looking for a motivated and analytical individual to join their team as a Data Analyst Apprentice.

Wage

£22,000 a year

Training course

Data analyst (level 4)

Hours

Monday to Friday, 9:00am - 5:00pm

40 hours a week

Start date

Monday 6 July 2026

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

• Develop and maintain scalable data solutions within Microsoft Fabric using PySpark, Python, and SQL to cleanse, validate, transform, and automate business data processes across multiple datasets
• Create and manage Power BI reports and dashboards within Microsoft Fabric, ensuring data accuracy and delivering meaningful business insights to stakeholders
• Perform data quality and governance activities, including removing duplicates, correcting formatting issues, validating records, and resolving inconsistencies
• Collaborate closely with the Lead Data Analyst, Head of Commercial and Buying, and other technical and non-technical stakeholders to support data-driven decision-making
• Conduct statistical and predictive analysis to identify trends, improve operational efficiency, and support continuous improvement initiatives
• Support the development of automated, efficient, and scalable reporting resources using Microsoft Power Platform technologies
• Analyse data relating to service, returns, stock, inventory, ecommerce, and customer journeys to help improve business performance

Where you'll work

Haydock Park Road
Teesside Shopping Park
Stockton-on-Tees
Durham
TS17 7BG

Training

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

Training provider

BALTIC TRAINING SERVICES LIMITED

Training course

Data analyst (level 4)

What you'll learn

• 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

Data Analyst Level 4.

Requirements

Essential qualifications

GCSE in:

• English (grade 4/C)
• Maths (grade 4/C)

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

Skills

• Communication skills
• IT skills
• Attention to detail
• Organisation skills
• Problem solving skills
• Presentation skills
• Administrative skills
• Number skills
• Analytical skills