Data Analyst Apprentice

Summary

A motivated and detail-oriented Data Analyst will support the data and operations teams in maintaining and improving the use of Joblogic, our core operational system. The successful apprentice will assist with data input, system integrity, reporting, and process improvement, while also working towards a recognised data analysis qualification.

Wage

£18,000 a year

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Training course

Data analyst (level 4)

Hours

All details will be confirmed at interview.

37 hours 30 minutes a week

Start date

Monday 19 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

Key Responsibilities:

Support the day-to-day administration and maintenance of the Joblogic system
Maintain data accuracy and consistency within the system by regularly auditing records, identifying quality issues, and supporting data cleansing initiatives
Support the creation and distribution of operational and performance reports, working closely with various departments to gather and understand their data needs
Collaborate with operational teams to improve the quality and timeliness of data entry
Troubleshoot and escalate system issues with the relevant stakeholders or Joblogic support
Work with the data team to identify trends, inefficiencies, and opportunities for automation to improve efficiency
Assist in developing clear and accurate documentation, including user guides and best practices for Joblogic. Maintain records of procedures, findings, and data definitions to support system consistency and user understanding
Assist in gathering, organising, and analysing data from a variety of sources
Maintain and update dashboards and reports for internal teams

You will learn to use business intelligence tools and databases (e.g., Excel, Power BI, SQL).

Where you’ll work

Tyne House Temple Street Felling
Gateshead
NE10 0HN

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

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. 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.

Requirements

Essential qualifications

GCSE or equivalent in:

any 3 subjects (grade 4+ (A*-C))
English (grade 4+ (A*-C))
Maths (grade 4+ (A*-C))

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
Attention to detail
Organisation skills
Problem solving skills
Analytical skills
Team working
Non judgemental

About this company

Commercial Maintenance Services UK Ltd (CMS) are a nationwide market leader in Facilities and Commercial Building Maintenance. Established in 2000, CMS have built a reputation for delivering trusted and specialist M&E Hard and Building Maintenance Services to clients across the UK. With a team of over 190 employees operating 24/7, 365 days a year, CMS offers a range of integrated commercial maintenance services, including reactive and planned Gas, Heating, Plumbing, Air Conditioning, Electrical, Catering Equipment installation, repair and maintenance.

After this apprenticeship

90% of QA apprentices secure permanent employment after completing their apprenticeship: this is 20% higher than the national average.

What we offer:

Full support towards your Data Analyst Level 3 or 4 apprenticeship
A collaborative, supportive team environment
Opportunity to gain hands-on experience with operational data systems
Long-term development opportunities within a growing business

Benefits:

Critical illness cover
Company sick pay and income protection
Company Health Insurance
Above statutory holidays allowance
Increased holiday allowance with service
Employee assistance programme
Work related training/memberships/subscriptions paid
Pay It Forward Monthly Bonus/Yearly review
Free parking
Pension
Death in Service

Ask a question

The contact for this apprenticeship is:

QA LIMITED

The reference code for this apprenticeship is VAC1000315613.

Apply now

Closes in 19 days (Friday 9 May 2025)

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