Operations and Data Analyst Apprentice

Summary

Are you looking to build a long-term career in Data? Then look no further! Start your career today with a level 3 Data technician apprenticeship with Macquarie Energy Leasing Ltd and Kaplan. You will be gaining valuable workplace experience whilst working towards the qualification.

Annual wage: £23,795 a year
Minimum wage rates (opens in new tab)
Training course: Data technician (level 3)
Hours: 40 hours 8:30am to 5:30pm with one hour unpaid for lunch.
40 hours a week
Possible start date: Tuesday 1 April
Duration: 1 year 6 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

Job duties;

Extracting, analysing, and reporting on data samples using SQL, excel spreadsheets and Melodi our bespoke IT system
Running reports, checking for errors, and explaining issues/trends
Responding to requests for data and providing supporting information to both internal and external customers
Continuously looking for improvements to existing processes & checks and balances
Ensuring that data integrity is effectively managed and that the data we hold is secure

Where you’ll work

Suites 3 & 4, Warners Mill, Silks Way

Braintree

UK

CM7 3GB

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

KAPLAN FINANCIAL LIMITED

Your training course

Data technician (level 3)

Equal to A level

Course contents

Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.
Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.

Your training plan

Data Technician Level 3 Apprenticeship. If you need to unlock and better communicate the data and technology you have at your disposal, this apprenticeship will help your employees become more data literate to understand insights, create transformation, and give you the competitive edge. With sharp analysis at its heart, a Kaplan Data Literacy apprenticeship is anything but standard. As well as developing technical skills using a range of core technologies and platforms, we support our learners to weave together the ability to source, analyse, work with data, and generate insights that underpin business decisions. Our Data Literacy apprenticeship programme integrates five modules of technical training with work-based projects. This ensures that learning and skills are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training. The modules include: Microsoft Office Specialist: Excel Associate Data Literacy Data Analysis and Visual.

Requirements

Essential qualifications

GCSE or equivalent in:

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

A Level or equivalent in:

Any (grade 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
IT skills
Attention to detail
Organisation skills
Customer care skills
Problem solving skills
Presentation skills
Administrative skills

Other requirements

Please note this is a hybrid role with 3 days in the office (core days Monday and Tuesday in the office) Holiday and benefits; 25 days holiday plus bank holidays, company pension, flexible working, life insurance and performance bonus. Parking/transport; Free parking available on site, train station and bus station within walking distance of office.

About this company

With over 10 million gas and electricity meters deployed, Macquarie Energy Leasing Ltd is a market leader in the meter asset provision sector in the UK. We are the largest independent owner and manager of gas and electricity meters in the UK, including the largest portfolio of 'smart' meters.

After this apprenticeship

Potential progression to Data Analyst role or within the wider Operations Team.

Ask a question

The contact for this apprenticeship is:

KAPLAN FINANCIAL LIMITED

The reference code for this apprenticeship is VAC1000287737.

Apply now

Closes on Friday 28 February

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After signing in, you’ll apply for this apprenticeship on the company's website.

Company’s application instructions

To apply, you must register with GetMyFirstJob and then follow the instructions to complete your application.

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