Key Purpose of the Apprenticeship
Data Analysts have a highly transferable set of knowledge, skills and behaviours that can be applied in all sectors. The role may involve working independently or as part of a team and will involve developing, implementing, maintaining and improving administrative services. Business administrators develop key skills and behaviours to support their own progression towards management responsibilities.
Data Analysts provide insight to businesses through managing, cleansing, abstracting and aggregating data. Working across projects they are tasked with studying data and provide technical solutions to stakeholder and customer issues.
This programme has been designed to develop technical skills using a range of core technologies and platforms, it also supports the skills required to effectively analyse, extract and work with data to gain insights that ensure decisions made are effective and lead to positive change within the business.
The Course Structure
This apprenticeship is delivered through:
- 11 workshops
- Regular webinars
- Quarterly workplace performance reviews
- Online assessments
Read more about our innovative approach to teaching and learning on our Apprenticeship Training page.
Skills Coaching
Each of your apprentices is guided and mentored through the whole programme by their Skills Coach. Find out more about how this works here.
End Point Assessment (EPA)
This programme is continually assessed by our Tutors and Skills Coaches throughout. The final End Point Assessment (EPA) requires candidates to give a presentation and answer question on their work by an assessment panel and the completion of a work based research project.
Read through the course content below…
Duration
19 months
Level
4
Where?
Delivered remotely, or with cohorts of 12 or more in the same employer training can be delivered in person at a location that suits you.
When?
Available year round on request
Data Analyst Course Content
Duties
Duty 1
Identify data sources to meet the organisation's requirement, using evidence-based decision making to establish a rationale for inclusion and exclusion of various data sets and models
Duty 2
Liaise with the client and colleagues from other areas of the organisation to establish reporting needs and deliver insightful and accurate information
Duty 3
Collect, compile and, if needed, cleanse data, such as sales figures, Digital Twins etc. solving any problems that arise, to or from a range of internal and external systems
Duty 4
Produce performance dashboards and reports in the Visualisation and Model Building Phase
Duty 5
Support the organisation by maintaining and developing reports for analysis to aid with decisions, and adhering to organisational policy/legislation
Duty 6
Produce a range of standard and non standard statistical and data analysis reports in the Model Building phase
Duty 7
Identify, analyse, and interpret trends or patterns in data sets
Duty 8
Draw conclusions and recommend an appropriate response, offer guidance or interpretation to aid understanding of the data
Duty 9
Summarise and present the results of data analysis to a range of stakeholders, making recommendations
Duty 10
Provide regular reports and analysis to different management or leadership teams, ensuring data is used and represented ethically in line with relevant legislation (e.g. GDPR which incorporates Privacy by Design).
Duty 11
Ensure data is appropriately stored and archived, in line with relevant legislation e.g. GDPR
Duty 12
Practice continuous self learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development