Data Analyst Apprenticeship

Summary

The apprentice will be responsible for picking up enquiries from the website and other sources, collect and collate data to support the sales team in preparing tenders, liaise with various teams within the business to confirm they can deliver stated actions on the tender. Accurately record all information within CRM and Excel systems.

Wage

£14,918.80 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

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Salary for the second year will be reviewed and adjusted in line with the apprentice's age and National Minimum Wage guidelines.

Training course

Data analyst (level 4)

Hours

Monday – Friday, 9.00am – 5.00pm, with 30 minutes lunch.

37 hours 30 minutes a week

Start date

Monday 9 June 2025

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

Log enquiries from our website and other sources
Collate data required to complete tenders
Work with the various teams to confirm tasks are achievable
Produce tender, working with sales director and manager
Regularly communicate and update stakeholders
Record data, regularly update and check accuracy
Analyse data to inform future improvements
Spot trends and patterns within datasets
Provide insights (not just reports) to support business understanding
Make recommendations for efficiency, growth, or change based on data analysis
Identify patterns, trends, and make data-driven predictions
Present statistical analysis results to inform business decisions
Optimise data models using appropriate statistical measures

Where you’ll work

Hawks Road
Gateshead
NE8 3AD

Training

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

College or training organisation

GATESHEAD COLLEGE

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

You will work towards the L4 Data Analyst apprenticeship standard with Gateshead College.

Requirements

Essential qualifications

GCSE in:

English (grade A*-C/4-9)
Maths (grade A*-C/4-9)

Other in:

Any subject (grade A - C or Merit/Distinction)

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
Customer care skills
Problem solving skills
Administrative skills
Logical
Team working
Resilience

Other requirements

Pension - Private Healthcare - 33 days annual leave (including bank holidays)

About this company

Established in 2000, CMS is a privately-owned national market leader in Facilities Maintenance. With Engineering hubs located throughout the UK, a team of over 300 staff members, CMS offers a range of integrated services, including reactive and planned Gas, Heating, Plumbing, Air-Conditioning, Electrical, Renewables and Catering Services. Awarded as one of the Top 20 fastest growing companies by the Journal's Fastest 50 companies in 2020, CMS continue to grow at pace.

After this apprenticeship

Promotion to management or sales position.

Ask a question

The contact for this apprenticeship is:

GATESHEAD COLLEGE

Gabrielle Butler

apprenticeships@gateshead.ac.uk

The reference code for this apprenticeship is VAC1000317268.

Apply now

Closes in 27 days (Sunday 25 May 2025 at 11:59pm)

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