Izzy - Apprentice 2

Data Analyst (Ireland)

Level 6 Apprenticeship

Would you like to answer questions, solve problems, and support decision-making processes?
As a Data Analyst, your role is to ascertain how data can be used in order to answer questions and solve problems. You will be responsible for requirement-gathering, inspecting, cleansing, transforming and modelling data with the goal of discovering useful information, informing conclusions and supporting decision-making. You will need to have strong communication skills as you will be liaising and sharing your work with different stakeholders. You will also need a good eye for details as you will be working with a lot of data and information that requires accuracy when handling the workload.

LocationDublin
Programme Duration24 months
Qualification & LevelNFQ Level 6 in Data Analytics
Working Hours40 Hours a week
Office TypeYou may be based in a corporate office or an operations warehouse
Training BreakdownBlended and Work-based Learning. Including, Face to Face workshops, digital learning and self-study.
Required Skills & Qualifications

• Must be 18 years or older.
• Will be required to complete an initial aptitude test.
• Must have achieved a passing grade (or O6/H7) in 5 or more subjects to include Maths and English (Ordinary Level) in the Irish Leaving Certificate or equivalent.
• Must be eligible to participate in Further Education and Training programmes.
• Must be entitled to study and work in Ireland.

PLEASE NOTE: This position is a 24 month fixed-term contract.

You must NOT already have a qualification in a similar subject at the same or higher level than this apprenticeship

What are the core components of this apprenticeship?

During your apprenticeship, you will acquire valuable skills and knowledge, including:

Data Analytics: Mastering the art of collecting, processing, and analysing data to derive meaningful insights, adding immense value to any organization.
Data Technologies: Gaining proficiency in cutting-edge big data tools and technologies, allowing you to work with vast datasets efficiently.
Data Security and Privacy: Understanding the critical aspects of data protection, ensuring the integrity and confidentiality of sensitive information.
Data Visualization: Learning to communicate complex data findings through engaging and informative visualizations, making data accessible to a broader audience.
Project Management: Acquiring the skills to manage data projects effectively, ensuring they're delivered on time and within scope.

What will I learn as I progress through my course?

  • Analysing and interpreting data to provide actionable insights for your organization.
  • Designing data models and managing databases to ensure efficient data storage and retrieval.
  • Ensuring data security and compliance with legal and ethical standards, protecting sensitive information.
  • Collaborating with professionals from various departments to understand their data needs and provide relevant solutions.
  • Staying up-to-date with the latest advancements in data and technology to remain at the forefront of your field.
  • Creating reports and data presentations to communicate findings and recommendations to key stakeholders.
  • 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 data sources and the risks and challenges to combination within data analysis activity
  • Select and apply the most appropriate data tools to achieve the optimum outcome

What qualifications will I gain?

NFQ Level 6 in Data Analytics

What are my career prospects after graduating?

Upon successful completion of the Data Analyst Degree program an Apprentice will be able to apply for a promotion within a Data Analyst full time role or seek other opportunities globally across Amazon and AWS. You'll have the skills and knowledge to explore or progress towards various high-level roles in the data/technology sector, including:

Data Scientist; Data Analyst; Data Engineer; Machine Learning Engineer; Data Security Specialist; Project Manager; Business analyst; Cyber security professional; Software engineer

Izzy - Digital Marketing Apprentice 1

Our programmes

Take a look at the other Apprenticeship programmes
we have available