Level 4 Data Analyst Apprenticeship - Business Analyst Apprentice 2023

What will the apprentice be doing?

Within this role, you will be valued for your intellectual curiosity, innovative approach to problem-solving, and your strong analytical skills. You will be key in compiling data from multiple systems to tell stories and to answer vital business questions such as "What do higher performing teams have in common?"

Key responsibilities:

• Identify business problems and present insights to influence actions
• Develop skills in Data Engineering, Visualisation and Business Analysis in a complex business environment
• Work as part of a team to deliver data products used across the whole business
• Collaborate with business users to ensure you are delivering the insights they need
• Produce reports to provide insight and recommendations for how to improve the business operations, learning and business processes, and what drives business outcomes

What training will the apprentice take and what qualification will the apprentice get at the end?

You will be studying towards a Level 4 Data Analyst Apprenticeship delivered by Thales UK in partnership with Imperial College Business School and Corndel. Accredited by A4digital, this is an 18-month programme taught through tailored workshops and individual coaching sessions.

What is the expected career progression after this apprenticeship?

Upon successful completion of the apprenticeship, you will be working as a Business Analyst within Thales UK.

Requirements and prospects

Desired skills and personal qualities

IT skills, Attention to detail, Organisation skills, Problem solving skills, Administrative skills, Number skills, Analytical skills, Logical, Team working, Initiative

Qualifications

GCSE or equivalent English and Maths (Grade A*-C or 4-9) Essential
A Level or equivalent Maths and one further STEM subject (Grade A-C) Essential

Things to consider

You should be proficient in Microsoft Office products including ability to use lookups, pivot tables and multiple variable formulas in Excel. As well as being familiar with data visualisation such as patterns, trends and correlations.