Data Technician Level 3

Overview:

Data Technicians secure, structure, and analyse data using fundamental methods, found in all sectors where data is generated or processed, including finance, retail, education, health, media, manufacturing, and hospitality.

What does a Data Technician do?

This occupation is widespread across all sectors where data is generated or processed, covering areas such as finance, retail, education, health, media, manufacturing, and hospitality.

The primary objective of this occupation is to securely obtain, structure, and present data in a manner relevant to its analysis using fundamental methodologies. Moreover, it encompasses customising outcomes suitable for the intended audience, examining both organised and unorganised data to support business objectives, amalgamating data from varied sources as instructed, and ensuring adherence to legal and ethical principles during data handling.

In their day-to-day activities, an individual in this role interacts with a broad spectrum of stakeholders, including colleagues, managers, customers, as well as internal and external suppliers.

Typically working as part of a team, whether in a physical office or a virtual setting, a person in this role is responsible for collecting and processing data under the guidance of a senior colleague or multiple senior colleagues across the organisation. The particulars of this guidance may vary based on the sector and the size of the organisation. Although primarily responsible for their individual duties, an employee in this profession may also have the opportunity to offer guidance and mentorship to others.

Job titles include:

• Junior Data Analyst
• Data Technician
• Data Processing Operator
• Junior Data Analyst
• Data Technician
• Data Processing Operator

Duties include:

• Source data from a collection of already identified trusted sources in a secure manner.
• Compile and format data to aid processing and presentation for review and advanced analysis by others.
• Collaborate with individuals, both internally and externally, at all levels to generate value from data.
• Present data for review and analysis by others using necessary mediums, such as tables, charts, and graphs.
• Engage in continuous self-learning to stay updated with technological advancements, enhancing pertinent skills, and taking charge of personal professional growth.

Your apprenticeship journey

1. Month 1 – CPD, Communication, Policy & Legislation
2. Month 2 & 3 – Data Gathering & Data Security
3. Month 4 – Data types & Architecture
4. Month 5 – Data Structure
5. Month 6 & 7 – Data Visualisation & Modelling
6. Month 8 & 9 – Algorithms & Working with Data
7. Month 10 & 11 – Databases
8. Month 12 & 13 – Project Management & Digital Presence
9. Month 14 – EPA Preparation