Data Analyst Apprentice

Summary

You will have the opportunity to gain valuable skills, knowledge and experience as you complete a Data Analyst - Level 4 Apprenticeship. Duties will include Data Collection: Gather and collate data from various sources, including internal systems, databases, and external sources, ensuring accuracy and completeness.

Annual wage: £18,000 a year
Minimum wage rates (opens in new tab)
Training course: Data analyst (level 4)
Hours: All details will be confirmed at interview
37 hours 30 minutes a week
Possible start date: Monday 20 January
Duration: 2 years
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

Data Cleansing: Cleanse and preprocess data to remove inconsistencies, errors, and duplicates, ensuring data integrity and reliability for analysis.
Data Analysis: Utilise statistical techniques and data analysis tools to analyse large datasets, extract meaningful insights, and identify trends and patterns relevant to business objectives.
Data Visualisation: Create visualisations, dashboards, and reports to present findings and insights in a clear and concise manner, enabling stakeholders to make informed decisions.
Data Interpretation: Interpret and communicate findings to key stakeholders, providing actionable recommendations and insights to support strategic initiatives and business growth.
Data Governance: Adhere to data governance policies and procedures, ensuring compliance with regulatory requirements and best practices for data management and security.
Continuous Learning: Stay abreast of emerging trends, technologies, and best practices in data analysis, seeking opportunities for continuous learning and professional development.

Where you’ll work

Mclaren Technology Centre

Chertsey Road

Woking

Surrey

GU21 4YH

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 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

Why choose our Data Analyst including Power BI apprenticeship?

QA's Data Analyst including Power BI Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.
The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing. At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.

QA's Data Analyst including Power BI Level 4 apprenticeship programme enables your organisation to:
• Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders.
• Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace.
• Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent.
• Delivered by industry experts with real-world experience, the programme’s content has been designed around real-life skills and includes the additional Analyst Data with Microsoft Power BI module. The technical content aligns to and is relevant to employers and the market.
• Upon successful completion, learners will be awarded the Data Analyst including Power BI Level 4 apprenticeship.

Tools and technologies learned: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel.

Requirements

Essential qualifications

GCSE in:

English and Maths (grade 4+ (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
Non judgemental

About this company

McLaren Automotive, renowned for its innovative approach to automotive engineering and design, continues to lead the industry in luxury sports car manufacturing. As part of our commitment to excellence, we offer apprenticeship opportunities that provide hands-on experience and a pathway to a rewarding career in data analysis.

Company benefits

Competitive apprenticeship salary Hands-on training and mentorship from experienced data analysts Exposure to cutting-edge data analysis tools and techniques Opportunities for career advancement within McLaren Automotive

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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