During Your Programme

These web pages aim to provide a handy access point for information that you will need during your Junior Data Analyst apprenticeship programme.

On this page:

Your Tutors & Coaches

Owen Twidale

Owen Twidale
Tutor, Coach and Progress Advisor

I will be your Tutor, Skills Coach and Progress Advisor, supporting you throughout your apprenticeship journey.
 
 
 

Explaining the Roles

There are three key roles in the team which will support your apprenticeship. Some members of staff cover more than one of these.

Your tutor will lead you through your workshops or seminars and deliver a large proportion of the knowledge elements of your apprenticeship with you.

Your coach will meet with you each month to help develop and evidence your skills and behaviours within the workplace. Your line manager will attend part of this session. They will help you gather evidence to demonstrate your overall competency.

Your learner progress adviser will help provide additional support where needed and monitor your progress. You will meet with them, and your line manager, every three months.

Your E-Portfolio: OneFile

We use OneFile as our e-portfolio system. This is where your assignments will be set, you will submit your work and you will log your off-the-job training.

Your regular reviews will be stored on here as will some resources for your course. You will complete a learning journal, be able to monitor your progress towards your Knowledge, Skills and Behaviours and refer to your workplace development plan.

Our training video covers all the key features of OneFile you need to know. Visit the Support and FAQs page if you have questions or issues.

Knowledge, Skills and Behaviours

During your Junior Data Analyst apprenticeship, you will learn to demonstrate the following knowledge, skills and behaviours.

  • K1: Range of different types of existing data. Common sources of data – internal, external, open data sets, public and private. Data formats and their importance for analysis. Data architecture – the framework against which data is stored and structured including on premises and cloud.

  • K2: How to access and extract data from a range of already identified sources

  • K3: How to collate and format data in line with industry standards

  • K4: Data formats and their importance for analysis Management and presentation tools to visualise and review the characteristics of data Communication tools and technologies for collaborative working

  • 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

  • S1: Source and migrate data from already identified different sources

  • S2: Collect, format and save datasets

  • S3: Summarise and explain gathered data

  • S4: Blend data sets from multiple sources and present in format appropriate to the task

  • 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

  • B1: Manage own time to meet deadlines and manage stakeholder expectations

  • B2: Work independently and take responsibility

  • B3: Use own initiative

  • B4: A thorough and organised approach

  • B5: Work with a range of internal and external customers

  • B6: Value difference and be sensitive to the needs of others

Off-the-Job Training

You will need to dedicate around 20% of your working hours to your learning and development, which equates to around one day a week.

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How Can I Evidence My Learning?

Your coach and tutor will work with you to best gather evidence of your training. This can take various forms.

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Functional Skills

Apprentices aged 16-18 at the start of the apprenticeship need a level 2 qualifications in both English and maths to complete the course. If you can provide evidence of GCSEs at A*-C or 4-9 (or equivalent eligible qualifications) you will be exempt. Otherwise, you will need to complete a functional skills qualification. Apprentices aged 19 and over without level 2 English and/or maths can choose to study functional skills level 2.

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Helpful Tips, Tricks & Techniques

We’ve compiled resources to supercharge your apprenticeship journey. Delve into our “Helpful Tips, Tricks & Techniques” guide, covering everything from polished business documents to expert minute-taking. Level up your skills for ensure your success.

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Completing Your Apprenticeship

End Point Assessment (EPA) is the process at the end of your programme for you to demonstrate to a third party assessor that you have acquired the knowledge, skills and behaviours set out in the apprenticeship standard. This will only happen once yourself, your line manager and Skills Coach have agreed that you are ready.

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Safeguarding, Prevent, Welfare & British Values

Paula Wakelin
Paula WakelinSafeguarding & Prevent Officer
There is nothing more important than keeping you safe. If you or someone you know is at risk, click on the button to raise your concerns.

We are strongly committed to practices that protect you from the risk of abuse, neglect or significant harm. Our staff recognise and accept their responsibility to develop an awareness of the risks and issues involved in safeguarding. All staff and learners should have zero tolerance for abuse, bullying, neglect and violence.

Prevent is about safeguarding people and communities from the threat of terrorism. At the heart of Prevent is safeguarding children and adults and providing early intervention to protect and divert people away from being drawn into terrorist activity.

We provide expert support to help you on your apprenticeship journey. This includes mental health and neurodiversity, careers guidance and academic and financial challenges.

We want to help you achieve your full potential. We offer careers consultancy to ensure you have impartial and constructive information and guidance to help you decide and then to action your career decisions.

We aim to create an equal, diverse, inclusive and respectful culture. All of us contribute towards this culture through our actions and words. JGA aims to address any barriers to equality in our systems, policies and decision making as well as in our behaviour and ways of working.

The Fundamental British Values underpin what it is to be a citizen in a modern and diverse United Kingdom, valuing our community and celebrating diversity.

There is a code of conduct which applies to you and all learners on our programmes. This lays out the expectations for your behaviour whilst on the apprenticeship.