Finance and Data Admin Apprentice

Summary

You will have the opportunity to gain valuable skills, knowledge and experience as you complete a Data Technician - Level 3 Apprenticeship. Duties will include Processing supplier invoices in our accounting software

Wage

£15,000 a year

Minimum wage rates (opens in new tab)

£15,000 - £17,000 per annum

Training course

Data technician (level 3)

Hours

All details will be confirmed at interview.

37 hours 30 minutes a week

Possible start date

Monday 17 March

Duration

1 year 4 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

Liaising with customers and suppliers to address and resolve any queries or disputes
Assisting with other bookkeeping duties including reconciliations within the accounting software and sending remittances
Analysing financial reports against business KPI’s using various formula and pivot tables as required
Cross checking data in internal systems to correct mistakes and standardise formatting to enable accurate reporting
Taking a higher level view of data presented, offering commentary and recommendations

Where you’ll work

GROUND FLOOR FRONT (WEST)

STELLA BUILDING

WINDMILL HILL BUSINESS PARK

SWINDON

SN5 6NX

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

QA 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

Why choose our Microsoft Data Essentials Apprenticeship?

QA’s Microsoft Data Essentials Level 3 apprenticeship can support your business to be more productive with data and adapt to a modern-day workplace.

Data available to organisations is increasing at scale. How your business leverages it is essential to successful transformation and continued growth.

QA's Microsoft Data Essentials Level 3 apprentice will learn to:

Source, format and present data securely, using Microsoft Excel, Power BI and SQL
Analyse structured and unstructured data to support business outcomes
Blend data from multiple sources as directed
Communicate outcomes appropriate to the audience
Apply legal and ethical principles when manipulating data

QA’s Microsoft Data Essential Level 3 apprenticeship programme enables your organisation to:

Build the capabilities you need throughout your organisation to collect, study, organise and present data, increasing digital adoption and the provision of intelligent and valuable business insights
Create and develop analysts for the modern workplace by reskilling your existing talent, or hiring new entry-level talent. QA’s programmes, partnerships and recruitment capability enable us to tailor a solution that works for your business
Provide training that acts as a standalone solution or as part of a wider academy/programme to an array of business functions
Tools and technologies learned: Apprentices will learn to use Microsoft Power BI, Excel and SQL Azure

Requirements

Essential qualifications

GCSE in:

any 3 subjects (grade 4+ (A*-C))
Maths & English (grade 3+ (D or above))

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
Team working
Non judgemental

About this company

iceblue is a Global Internet Service Provider that offers Dedicated and Broadband Internet services to Businesses in over 216 countries. Established in 2014, iceblue is heavily focused on providing great career opportunities for its employees, to help them progress and succeed in the modern tech world. iceblue is also an equal opportunity employer and it offers its employees a flexible, warm, friendly, and modern working environment.

Company benefits

Ability to work with experienced members of the team to develop skills through mentoring. Competitive Salary 25 Days Holiday Friendly and supportive team environment

After this apprenticeship

90% of QA Apprentices secure permanent employment after finishing their apprenticeship
Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks

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