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Searching for a Data Technician apprenticeship that gives you more? We’ve re-imagined our data analyst and data technician apprenticeship programmes, thinking bigger, and using the apprenticeship opportunity to deliver change. We have added new features, new team members, new tools, optional qualifications, and real-world insight.
Funding band – £12,000
This cost is paid by the employer, for SMEs there is up to 100% funding available. For Levy employers, you can find out more here. Apprentices will not contribute to this.
We are proud to work with:
As well as learning all of the above using leading VLE platforms, apprentices will attend a series of Masterclass modules, delivered live virtual by our expert tutor team.
Duration | 4 Days
+ Understanding the importance of Safeguarding & Prevent Duty awareness
+ Developing an awareness of Health, Safety & well-being in the workplace
+ Team Roles & Motivation
+ Developing communication skills
+ Business Etiquette
+ Equality, Diversity & Inclusion
+ British Values
+ Mental health & personal resilience
+ Developing your own professionalism
Duration | 4 Days
+ Digital Adoption: adoption models, benefits & challenges
+ Digital Careers – roles in industry; future-proofing careers; behaviours & standards expected
+ The World Wide Web – modern web technologies, Web 3.0, social & professional networking, communicating effectively
+ Internet Technologies – infrastructure; protocols; DNS; emails; cloud computing
+ Objects, Active Content & Languages – introductions to: C, C++, Java, Javascript, Python, PHP, CSS3, C#, R
+ Databases – data modelling, SQL
+ Emerging AI tools, benefits & risks
+ Cyber Security, data protection, secure protocols, ethical & legal issues, copyright
Duration | 4 Days
+ Learning how to cleanse and filter data with Power Query
+ Understanding the importance of data quality
+ Learning how to correctly format Excel data
+ Learning how to create and work with Power Pivot
+ Conducting statistical analysis using Pivot Charts
+ Relevant skills in presenting data and reports after advanced analysis
+ Using Excel shortcuts to become more productive with data
+ Using XLOOKUP with complex data arrays
Duration | 4 Days
+ Collaborating with internal and external leaders and influencers to understand the data objective
+ Business relationships and behaviours to improve stakeholder engagement
+ Understanding how algorithms can be used to improve data productivity
+ Introduction to Data Storytelling to identify business trends that influence strategic decisions with an organised approach
Duration | 4 Days
+ Introduction to relational databases and database design
+ Agile data modelling processes
+ Creating and editing tables in SQL
+ Introduction to Views and Stored Procedures
+ Understanding the basic methods and simple data modelling to extract relevant data
Duration | 4 Days
+ Project Management, Project life-cycle phases, goals, scope, budget, timelines; project planning, risks, benefits realisation
+ Managing tasks & resources efficiently, tracking progress, stakeholder management & effective communication
+ Agile Project Management methodology: Scrum, Kanban, digital tools, closing projects
+ Teams – motivation, groupthink, resolving issues/conflicts
+ Practical Application – apprentices will plan a small-scale theoretical project, relevant to their apprenticeship course. Working in small groups, they will produce a full project plan, presenting it at the end of the module to other attendees.
We’ve crafted the Level 3 Data Technician apprenticeship standard for Business Insights and Analytics, in close collaboration with employer partners seeking a program surpassing the Business Administrator apprenticeship. This apprenticeship equips learners to excel in data management, report accuracy, and data dashboard creation using Excel.
Enrollees in this NowSkills apprenticeship will undergo structured data and database sessions, learning essential techniques, and an intensive Excel training week covering advanced features like XLOOKUP, Pivot Charts, and Power Query. Upon completion, apprentices will adeptly manage data and tools, with potential progression to our Level 4 analyst program.
Employer-led and flexible, with no two apprenticeship journeys ever the same. We use a blended approach using the best live online and physical classroom teaching experiences supported with the latest self-paced e-learning. Our monthly 1:1 teaching sessions are flexible, delivered live online or in person, depending on what your organisation needs.
We include additional Social Enrichment Sessions and celebrated speakers join us monthly in our Expert Series. Your apprentices also have the opportunity to achieve industry recognised certifications, beyond the scope of the apprenticeship.
This apprenticeship emphasises tasks like data sourcing, collation, presentation, and analysis, supported by comprehensive behavioral development. It offers opportunities to work independently and collaboratively. Ideal for those who enjoy logical thinking and problem-solving, it leads to roles like Data Support Analyst, Technician, or Junior Analyst post-apprenticeship.
+ How to access data from a range of sources that are already identified.
+ How to compile and format data according to industry best practices.
+ Data formats and their importance for analysis.
+ Practical skills in communication methods, formats, and techniques.
+ How to combine a wide range of data from different sources.
+ Algorithms and how they function with a step-by-step solution to a problem, or rules to follow to solve the problem, as well as the possibility of applying automation.
+ How to filter details, focusing on information relevant to the data project.
+ Basic statistical methods and simple data modeling to extract relevant data and normalise unstructured data to make data-driven decisions
+ Different methods of validating data and understanding the importance of taking corrective action.
+ Understanding the range of common data quality issues that can arise e.g., misclassification, duplicate entries, spelling errors, and obsolete data.
+ Legal and regulatory requirements and how to ethically use data.
+ The role of data in the context of the digital world.
Apprentices must have:
(Entry requirements vary depending on the employer’s requirements.)
+ The right to work in the UK
+ Lived in the UK continuously for the past 3 years
+ GCSE English and maths minimum requirement at grade 4 or above (or equivalent)
Level 3 Data Technician Apprenticeship, awarded by the Institute for Apprenticeships and Technical Education
(The following optional certification exam may be taken following completion of all training sessions.)
Optional examination for MO-200: Microsoft Excel
+ Additional fee applies, an exam cannot be funded by an apprenticeship fee
Our partners & accreditations:
These take place monthly, either at the workplace or live online with the tutor.
+ Teaching delivery sessions, in areas of training need to be agreed upon with the tutor
+ Professional Development Reviews (PDRs), which employers must partake in
+ Updating of the Professional Development Plan (PDP)
+ Provision of ongoing career education, information, advice & guidance (CEIAG)
+ Feedback on an apprentice’s work from a skills coach
+ English, maths, and wider digital relevant skills development
In addition to tutor 1:1s, all apprentices and employers must also partake in a monthly Professional Development Review (PDR):
+ A meaningful discussion about the apprentice’s achievements
+ Identifying areas for improvement, and agreeing on a consequent target plan
+ Looking at progress made to date
Support in understanding and applying:
+ Safeguarding; fundamental British values; health, safety, & wellbeing; and equality, diversity, and inclusion
Apprentices will be guided by a NowSkills tutor and their workplace mentor throughout the duration of the Data Technician apprenticeship training. For a level 3 apprentice, this must be 6 hours of their working week and if they aren’t attending training in the centre, it may likely consist of:
+ Mentoring sessions with the nominated suitable employer mentor
+ Training in the workplace, relevant to the standard
+ Producing/collating evidence for the apprentice’s summative portfolio
+ Work shadowing
+ Industry visits
+ Attendance at competitions
+ Online learning
+ Studying or researching and teaching delivery
This is the period in which the apprentice crosses the threshold phase, from the learning and formative assessment period to the end-point assessment phase. This decision will be made by the employer, training provider, and apprentice based on the apprentice’s progress. To move onto the end-point assessment phase, it is essential to have passed all the knowledge modules and/or vendor qualifications or professional qualifications and to provide a portfolio of work.
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