Data Analyst Apprentice

Summary

Are you looking to build a long-term career in Data Analyst? Then look no further! Start your career today with a Level 4 Data Analyst apprenticeship with Altair Consultancy and Advisory Services Ltd and Kaplan. You will support the data team in data analytics.

Wage: £23,795 a year
Minimum wage rates (opens in new tab)
Training course: Data analyst (level 4)
Hours: Monday to Friday, 08:30 - 17:00
35 hours a week
Possible start date: Monday 7 April
Duration: 1 year 6 months
Positions available: 1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you’ll do at work

About the Role:

Altair is seeking an enthusiastic and motivated Apprentice Data Analyst to join our company during an exciting period of transformation
The successful candidate will become an integral part of the Altair Central Services Team, gaining an understanding of our operations before transitioning to the project team responsible for delivering the technological aspects of our transformation initiatives
Key Responsibilities:

Data Synchronisation and Management: Assist in the synchronisation, management of tools, and analysis of data for reporting purposes
AI Integration: Leverage AI to streamline and automate processes, enhancing efficiency and accuracy
Data Analysis: Conduct data pre-processing, statistical analysis, and predictive analytics to support project goals.
Reporting: Create and present data visualisations and reports to communicate insights effectively
Collaboration: Work closely with team members to ensure data integrity

Where you’ll work

Tempus Wharf, 29a Bermondsey Wall West
London
UK
SE16 4SA

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

KAPLAN FINANCIAL 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

Data Analyst Level 4:

Ideal for new talent in the organisation with an active interest in data or existing staff taking on a more data centric role or Junior/aspiring Data Analysts working in any industry or sector
Our Data Analyst apprenticeship programme integrates six 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. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS® Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional)
An apprenticeship has to be relevant to the job you are undertaking and you must dedicate 20% of your time towards it

Requirements

Essential qualifications

GCSE or equivalent in:

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

Desirable qualifications

A Level or equivalent in:

Any x 2 (grade )

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
Number skills
Analytical skills
Logical
Team working
Initiative
Non judgemental

Other requirements

Benefits include: 25 days holidays Pension of 6% from Altair and at least 3% from the Apprentice Life assurance Access to Health Shield (health care cash plan) Season ticket loans Cycle to work scheme.

About this company

Our values inform how we work with our clients and colleagues every day. We are socially focused and committed to making a difference through working in partnership with our stakeholders to challenge the norm, strive for excellence and influence our sectors to do the right thing. Our high-quality services have a positive impact to the communities our clients operate in.

After this apprenticeship

This role offers a unique opportunity to be at the heart of Altair’s transformation, working on critical projects that leverage cutting-edge technology and AI
The combination of on-the-job experience and formal training will equip the Apprentice Data Analyst with the skills and knowledge needed for a long-term career at Altair
If you are passionate about data and eager to learn and grow within a dynamic team, we encourage you to apply!

Ask a question

The contact for this apprenticeship is:

KAPLAN FINANCIAL LIMITED

The reference code for this apprenticeship is VAC1000307561.

Apply now

Closes in 4 days (Wednesday 19 March)

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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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