Data Technician Apprenticeship Standard
The Data Technician Apprenticeship Standard is currently in development and is not available for delivery
What Roles is this Data Technician Apprenticeship Standard suitable for?
How much will I earn during my Data Technician Apprenticeship?
How much does the Data Technician apprenticeship cost?
Data Technician Competencies you will learn
K5: Communication methods, formats and techniques, including: written, verbal, non-verbal, presentation, email, conversation, audience and active listening Range of roles within an organisation, including: customer, manager, client, peer, technical and non-technical
K6: The value of data to the business. How to undertake blending of data from multiple sources
K7: Algorithms, and how they work using a step-by-step solution to a problem, or rules to follow to solve the problem and the potential to use automation
K8: How to filter details, focusing on information relevant to the data project
K9: Basic statistical methods and simple data modelling to extract relevant data and normalise unstructured data
K10: The range of common data quality issues that can arise e.g. misclassification, duplicate entries, spelling errors, obsolete data, compliance issues and interpretation/ translation of meaning
K11: Different methods of validating data and the importance of taking corrective action
K12: Communicating the results through basic narrative
K13: Legal and regulatory requirements e.g. Data Protection, Data Security, Intellectual Property Rights (IPR), Data sharing, marketing consent, personal data definition. The ethical use of data
K14: The significance of customer issues, problems, business value, brand awareness, cultural awareness/ diversity, accessibility, internal/ external audience, level of technical knowledge and profile in a business context
K15: The role of data in the context of of the digital world including the use of eternal trusted open data sets, how data underpins every digital interaction and connectedness across the digital landscape including applications, devises, IoT, customer centricity
K16: Different learning techniques, learning techniques and the breadth and sources of knowledge
At Completion of your Data Technician Apprenticeship, you will be able to:
S5 Manipulate and link different data sets as required
S6 Use tools and techniques to identify trends and patterns in data
S7 Apply basic statistical methods and algorithms to identify trends and patterns in data
S8 Apply cross checking techniques for identifying faults and data results for data project requirements
S9 Audit data results
S10 Demonstrate the different ways of communicating meaning from data in line with audience requirements
S11 Produce clear and consistent technical documentation using standard organisational templates
S12 Store, manage and distribute in compliance with data security standards and legislation
S13 Explain data and results to different audiences in a way that aids understanding.
S14 Review own development needs
S15 Keep up to date with developments in technologies, trends and innovation using a range of sources
S16 Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity
S17 Operate as part of a multi-functional team
S18 Prioritise within the context of a project
At completion, your skills and behaviours will include:
B5: Work with a range of internal and external customers
B6: Value difference and be sensitive to the needs of others
English and Maths
Overall, Level 2 English and Maths will need to be passed, if not already, prior to taking the end point assessment.
Overall, this Apprenticeship is recognised for entry onto the register of IT technicians confirming SFIA level 3 professional competence and also those completing the Apprenticeship are eligible to apply for registration.