Pricing Analyst / Purchasing Assistant Apprentice

motor parts direct limited

Braintree (CM7 2YN)

Closes in 31 days (Monday 9 March 2026 at 11:59pm)

Posted on 6 February 2026

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Summary

The Data & Pricing Analyst Apprentice will support the business in using data to make better pricing and commercial decisions. The role focusses on analysing sales, cost, margin, and market data to help optimise pricing strategies, improve profitability, and support operational decision-making.

Wage

£15,000 a year

Check minimum wage rates (opens in new tab)

Wage between £15k - £18k p/a

Training course
Data analyst (level 4)
Hours
Monday - Friday (8:30am - 5:00pm). Shifts TBC.

37 hours 30 minutes a week

Start date

Monday 16 March 2026

Duration

2 years

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

The Data & Pricing Analyst Apprentice will support the business in using data to make better pricing and commercial decisions. The role focusses on analysing sales, cost, margin, and market data to help optimise pricing strategies, improve profitability, and support operational decision-making — while completing a Level 4 Data Analyst Apprenticeship.

This is an expanding & learning role with real responsibility: you’ll be expected to handle live data, produce meaningful insights, and gradually build confidence working with pricing models and commercial analysis.

You will also be placing orders with suppliers, analysing stock levels & lost sales in order to improve availability. You’ll also field calls from branches, listen to problems & be looking to join the dots up in terms of solving those issues.

Data Analysis & Reporting

  • Collect, clean, and validate data from internal systems (sales, stock, pricing, purchasing).
  • Produce regular and ad-hoc reports on sales performance, margins, pricing effectiveness, and trends.
  • Use tools such as Excel, Power BI, SQL, or similar to analyse and visualise data.
  • Identify anomalies, risks, and opportunities within pricing and margin data.

Pricing Support

  • Support the review and maintenance of pricing structures across product ranges.
  • Analyse cost changes, margin performance, and competitor pricing where available.
  • Assist with price updates, promotional analysis, and post-implementation reviews.
  • Help monitor pricing compliance and identify pricing inconsistencies.

Commercial Insight

  • Provide data-driven insights to support commercial and operational decisions.
  • Work with stakeholders to understand business questions and translate them into analysis.
  • Help define and track key performance indicators (KPIs) relating to pricing and profitability.

Systems & Process Improvement

  • Support improvements to data quality, reporting processes, and pricing workflows.
  • Document reports, data definitions, and pricing logic clearly.
  • Assist with automation and efficiency improvements where possible.

Where you'll work

40A Springwood Drive
Braintree
CM7 2YN

Training

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

Training provider

JUST IT TRAINING 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

Data Analyst Level 4 Apprenticeship Standard.

You will also receive full training and support from the Just IT Apprenticeship Team to increase your skills.

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
  • Customer care skills
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative
  • Tech Savvy
  • Excel
  • Can do attitude
  • Passion for solving issues
  • Passion for Data

About this employer

Motor Parts Direct first opened it's doors in Kettering in 1999.

We have an experienced, friendly team in every branch ensuring expertise in supplying the right part for your car.

Despite the pandemic, 2020 was one of Motor Parts Direct’s busiest years with the opening of 20 new branches and no plans to stop there! We believe that our level of service provided within the motor industry should be experienced by as many people possible.

After this apprenticeship

Potential full-time position for the right candidate after completion of the apprenticeship.

Ask a question

The contact for this apprenticeship is:

JUST IT TRAINING LIMITED

The reference code for this apprenticeship is VAC2000013791.

Apply now

Closes in 31 days (Monday 9 March 2026 at 11:59pm)