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 You'll learn to collect, clean, and analyse data from various sources, helping to identify trends and insights. This will involve assisting with the creation of reports, dashboards,
Wage
£20,800 a year
Training course
Data analyst (level 4)
Hours
All details will be confirmed at interview
40 hours a week
Possible start date
Monday 31 March
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
Ringway are looking for an apprentice data analyst to join their team. As a Data Analyst Apprentice, you'll play a key role in supporting data-driven decision-making.
You'll learn to collect, clean, and analyse data from various sources, helping to identify trends and insights.
This will involve assisting with the creation of reports, dashboards, and visualisations to communicate findings effectively.
You'll also gain experience in data quality assurance, ensuring accuracy and consistency, while collaborating with the team to understand business needs and contribute to analytical projects. This apprenticeship offers a fantastic opportunity to develop your analytical skills and build a solid foundation in the world of data.
Our Apprenticeship Scheme has been designed kick start your journey towards becoming an industry expert. You will get hands on experience and tailored training to support you every step of the way.
* Mentor Allocation and guidance
* Additional training be provided
We are looking for a long-term relationship with our apprentices and we have a long-term career structure in mind, whereby we see the apprentice developing into senior roles within our business as it grows.
Where you’ll work
Merrow Depot
Merrow Lane
Merrow
Guildford
GU4 7BQ
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
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 & 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