Human Resources Apprentice

Summary

As an Human Resources Apprentice, you'll help attract, retain & develop a talented global workforce, giving employees the support & tools they need to succeed. From attracting and recruiting talent and delivering training programmes to partnering with the Firm's businesses to manage strategic human capital issues, HR has a true seat at the table.

Annual wage: Competitive
Minimum wage rates (opens in new tab)
Training course: Data technician (level 3)
Hours: Monday - Friday, 9.00am - 5.30pm in person.
40 hours a week
Possible start date: Monday 1 September
Duration: 1 year 6 months
Positions available: 2

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

A typical day:

Co-ordinating written communications
Assisting in the creation and upload of internal communication sites
Supporting day to day operational management, including responding to employee queries
Supporting with the preparation of company-wide communications & presentations
Supporting the review of templates for HCM specific documentation
Analysing data, identifying key trends and presenting this back to internal audiences
Working on ad-hoc projects across the HCM division
Cultivating and maintaining strong relationships across the wider team and business

Where you’ll work

20 Bank St

Canary Wharf

London

E14 4AD

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

MULTIVERSE GROUP 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 Standard:

20% off your working week will be dedicated to 'Off the job training' - ie apprenticeship studies which are completed online during work hours
This will include independent self paced learning, online tutorials alongside other apprentices and 1:1 coaching

Requirements

Essential qualifications

GCSE in:

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

A Level in:

Three A-Levels - any subjects (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
Attention to detail
Organisation skills
Team working
Creative
Initiative
Interpersonal skills
Microsoft Office Applications
Interest in data

About this company

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals.

http://www.morganstanley.com/campus (opens in new tab)

Company benefits

- Health Cover - Mentor Scheme - Multiverse Community - Pension - Social Events - Volunteering

After this apprenticeship

After your Data Technician apprenticeship you could progress into HR, Recruitment, Sales, Marketing & PR, Real Estate, Office Management, Business Management. Most of the above can be completed in a higher-level qualification

Ask a question

The contact for this apprenticeship is:

MULTIVERSE GROUP LIMITED

The reference code for this apprenticeship is VAC1000295989.

Apply now

Closes on Friday 28 February

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.

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

Company’s application instructions

To apply, please click the link above to create a Multiverse account.

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