Apprentice IT Business Intelligence Support - Data Analyst – Find an apprenticeship

Summary

We are looking for a bright, enthusiastic Apprentice Data Analyst to join our team to support the short, medium and long term business strategy, ensuring the IT and data infrastructure, systems and processes are aligned to organisational objectives and growth trajectory.

Annual wage: £15,000 a year
Minimum wage rates (opens in new tab)
Training course: Data analyst (level 4)
Hours: Monday - Friday, 9.00 am - 5.00pm.
37 hours 30 minutes a week
Possible start date: Tuesday 21 January
Duration: 2 years 3 months
Positions available: 1

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

You will work in close partnership with the Head of IT and relevant stakeholders on the provision of data and/or IT infrastructure insight as part of business development or service improvement proposals.

Duties will include, but will not be limited to:

IT infrastructure and data management
IT support for the business
Ensuring provision of a robust information and performance analysis service for the business

Where you’ll work

Danwood House Harrisson Place

Whisby Road

Lincoln

LN6 3AH

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

LINCOLN 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

The Apprentice will work towards their Apprenticeship Standard in Data Analyst Level 4.
The successful candidate will be assigned a dedicated assessor who will provide support and guidance throughout the course.
This is a Day Release programme which means you will attend Lincoln/Newark College, 1 day per week, term time only. This will fall within your contracted working hours.

Requirements

Essential qualifications

GCSE in:

Minimum of 5 including English and Maths (grade A*/9 - C/4)

A Level in:

Relevant Subject for the Apprenticeship (grade A/9-D/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
Problem solving skills
Presentation skills
Analytical skills
Logical
Team working
Creative
Initiative

About this company

HTG-UK is the leading provider of specialist transport services, carrying out more than 500,000 journeys on behalf of the NHS every year. Our dedicated and highly-trained staff use the latest technology and a modern fleet of ambulances to ensure each patient’s journey is tailored to their individual medical needs and that they receive the caring and compassionate service they deserve. We are part of the Health Transportation Group family and our core values support us in delivering safe, compliant and high-quality transport for patients and a sustainable and efficient service for the organisations who commission us.

https://www.htg-uk.com/ (opens in new tab)

Company benefits

Employee Assistance Programme. 28 days Annual Leave (incl of Bank Holidays)

After this apprenticeship

Upon successful completion of this Apprenticeship may lead to full time position

Ask a question

The contact for this apprenticeship is:

LINCOLN COLLEGE

Margaret Davis

apprenticeships@lincolncollege.ac.uk

01522 876284

The reference code for this apprenticeship is VAC1000290749.

Apply now

Closes in 16 days (Tuesday 7 January at 11:59pm)

When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.

Cookies on Find an apprenticeship

Apprentice IT Business Intelligence Support - Data Analyst

Contents