Financial Data Administrator 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 Data Management.

Annual wage

£14,000 a year

Minimum wage rates (opens in new tab)

£14,000 to £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 February

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

Reporting & Analysis
Support for the Finance Director
Process Improvement
Communication & Coordination
Learning & Development

Where you’ll work

2nd Floor

33 Bennetts Hill

Birmingham

B2 5SN

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Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.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))
English & Maths (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

We are a leading distributor in the B2B and B2C consumer goods industry, connecting with thousands of retailers across the UK. With a commitment to innovation and efficiency, we operate in a fast-paced environment where teamwork and cutting-edge tools drive our success. We pride ourselves on creating opportunities for growth and development within our organization, ensuring that every team member contributes to our mission of excellence in customer service and operational performance.

Company benefits

Life Insurance Scheme: Coverage includes 24/7 GP consultations, mental health support, fitness plans, and health checks. Product Discounts: Enjoy 40% off selected products. Paid Time Off: 28 days of annual leave, inclusive of bank holidays.

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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