Data Analyst Apprentice

Summary

Imagine what’s next. Imagine playing a key role in building a data-driven future to Help Britain Prosper. Make it real. Apply now for our Data Analyst apprenticeship programme.

Annual wage

£25,000 a year

Minimum wage rates (opens in new tab)

You will join us on a fixed apprenticeship salary where you’ll be eligible for annual pay reviews. Upon successful completion of the apprenticeship, your salary will be increased in line with the grade and pay range for your role.

Training course

Data analyst (level 4)

Hours

Monday to Friday Shifts to be confirmed

35 hours a week

Possible start date

Monday 1 September

Duration

1 year 6 months

Positions available

8

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

Your apprenticeship will take around 18 months to complete and will cover key areas such as:

Analytics lifecycles
Data democratisation
SQL data extraction
Advanced data joins
Advanced visualisation of data
Statistical programming languages
Predictive modelling and forecasting
Statistics in analysis
Creating and delivering a great data product

Where you’ll work

Leeds

LS1 4AP

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

FIREBRAND TRAINING 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

This training plan has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

Essential qualifications

GCSE in:

English (grade 4-9)
Maths (grade 4-9)

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
Problem solving skills
Team working
Creative
Aiming high
Staying positive

About this company

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

https://www.lloydsbankinggrouptalent.com/ (opens in new tab)

Company benefits

Benefits include: a generous pension contribution of up to 15%; an annual bonus award, subject to Group performance; share schemes; benefits you can adapt to your lifestyle, such as discounted shopping; 22 days’ holiday, with bank holidays on top

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

As a Data Analyst apprentice, you’ll cover the fundamentals of data analytics and begin to become a data professional, using big data and statistical modelling to make better predictions from data.

Ask a question

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