Summary
We are looking for a detail-oriented and highly organised Data Analyst Apprentice to join our EMEA ITS team at our Manchester Head Office in Trafford Park.
Wage
£18,000 a year
£18,000 - £21,000 per annum
Training course
Data analyst (level 4)
Hours
Monday to Friday, flexible hours 8.00am - 4.00pm / 9.00am - 5.00pm / 10.00am - 6.00pm
36 hours 15 minutes a week
Start date
Wednesday 14 May 2025
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
* Manage and analyse data for governance projects, ensuring alignment with global initiatives
* Work with HQ and regional teams to track and implement security programmes
* Identify opportunities for efficiencies and innovations through data analysis
* Support financial planning and cost-saving initiatives with data insights
* Represent the IT department by providing data-driven analysis on governance and security projects
* Assist in tracking compliance with ISO27001, GDPR, and NIS2 regulations
* Develop KPIs to measure IT performance
* Analyse project ROI and benefits to assess impact and success
* Produce and maintain Power BI reports to track key metrics and provide visual insights for stakeholders
Where you’ll work
Kerry Logistics (Uk) Limited Broadoak Industrial Park Ashburton Road West
Trafford Park
Manchester
M17 1RW
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
College or training organisation
QA LIMITED
Your training course
Data analyst (level 4)
Equal to higher national certificate (HNC)
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
Your training plan
* Data Analyst Level 4 Apprenticeship Standard
More training information
Why choose our Data Analyst apprenticeship?
* QA's Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight
* The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing
* At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions
QA's Data Analyst Level 4 apprenticeship programme enables your organisation to:
* Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders
* Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace
* Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent
Delivered by industry experts with real-world experience, the programme’s content has been designed around real-life skills and includes the additional PL-300 Microsoft Power BI Data Analyst certification (see below). The technical content aligns to and is relevant to employers and the market.
Upon successful completion, learners will be awarded the Data Analyst Level 4 apprenticeship.
Tools and technologies learned:
* Learners will learn to use visualisation tools such as (PowerBI, Tableau), SQL Server, SSIS, Python and R programming languages, and Cloud Technologies such as: Azure, AWS, GCP
Requirements
Essential qualifications
GCSE in:
* 5 including Maths & English (grade 4 (C) or above)
Desirable qualifications
A Level in:
* IT (grade Level 3)
BTEC in:
* IT (grade Any)
Other in:
* IT (grade Level 3)
Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
* Communication skills
* IT skills
* Attention to detail
* Organisation skills
Other requirements
About QA: Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 30,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Interested? Apply now!