Data Analyst Apprentice (University of Cambridge)
University of Cambridge
Cambridge (CB23 8AQ)
Closes in 16 days (Sunday 29 June 2025)
Posted on 10 June 2025
Contents
Summary
The Apprentice Data Analyst will support the team to meet the business requirements for student, course and enrolment data to assist in decision-making and strategic planning. This is a level 4 apprenticeship, where you will be able to learn on the job and be allocated 20% of paid study time to study towards the course.
- Wage
-
£21,610 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, Hybrid, working hours TBC
36 hours 30 minutes a week
- Start date
-
Friday 18 July 2025
- Duration
-
1 year 6 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
Data Collection:
- 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
- Collect, compile and, if needed, cleanse data, solving any problems that arise, to or from a range of internal and external systems
Data presentation:
- Produce performance dashboards and reports in the Visualisation and Model Building Phase
- Support the organisation by maintaining and developing reports for analysis to aid with decisions, and adhering to organisational policy/legislation
- Produce a range of standard and non-standard statistical and data analysis reports in the Model Building phase
- Provide regular reports and analysis to different management or leadership teams
Data analysis and interpretation:
- Identify, analyse, and interpret trends or patterns in data sets
- Draw conclusions and recommend an appropriate response, offer guidance or interpretation to aid understanding of the data
Stakeholder liaison:
- Liaise with the client and colleagues from other areas of the organisation to establish reporting needs and deliver insightful and accurate information
- Summarise and present the results of data analysis to a range of stakeholders, making recommendations
Storage and security:
- Ensure data is appropriately stored and archived, in line with relevant legislation e.g. GDPR, and the needs of the Institute
- Ensure data is used and represented ethically in line with relevant legislation (e.g. GDPR which incorporates Privacy by Design)
Ongoing development:
Practice continuous self-learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development
Where you'll work
Madingley Hall
Madingley
Cambridge
CB23 8AQ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
College or training organisation
FIREBRAND TRAINING LIMITED
Your training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Your training plan
More training information
Firebrand’s sector-leading Level 4 Data Analyst (L4DA) Apprenticeship Programme develops apprentices to extract, manipulate, model, visualise and present data to provide business insight.
Our programme gives apprentices a thorough understanding of how data is integrated to allow the application of statistics and modelling to make better predictions from data. Data story telling runs throughout the programme inspired by Gestalt Principles & Cognitive Load theory to reinforce concepts around effective visualisation.
Firebrands course is delivered either Online (online live instructor led), or face to face in the classroom environment (your choice). Our Subject Matter Experts (SMEs), Learning Mentors (LMs) and world-leading trainers prepare apprentices to work across multiple sectors.
Key areas covered are:
- Analytics Lifecycles
- Data Democratisation
- SQL Data Extraction
- Advanced Data Joins
- Advanced Visualisation of Data
- Statistical Programming Languages
- Predictive Modelling & Forecasting
- Statistics in Analysis
- Creating & delivering a great Data Product
Requirements
Essential qualifications
A Level in:
A levels (grade (A*-C/9-4 or equivalent))Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
- Communication skills
- Organisation skills
- Problem solving skills
- Analytical skills
- Logical
- Team working
- Initiative
- Computer literate
- Written communication skills
- Ability to prioritise tasks
- Able to manage own workload
- Able to work independently
- Collaborative
- Ability to show resilience
Other requirements
ICE is supportive of hybrid working, the current arrangements have staff working 2 days on site in Maddingly Hall and 3 days worked remotely, for those working Monday to Friday and where the role allows. These arrangements are subject to change and will not form part of the terms and conditions of employment. Other Information: • Defined benefits pension schemes • Flexible working options • Family-friendly initiatives • Career and Professional development opportunities • Support for health & mental wellbeing • Discounts on shopping • Rental deposit scheme • Public transport season ticket loans
About this company
The Institute's mission is to enable professional and continuing education throughout life, and to widen access to higher education. We design, deliver and curate a portfolio of world leading short courses and award bearing qualifications in a broad range of disciplines. The IT and Systems team supports the Institute by providing data-led flexible and efficient system solutions for its administrative and operational activities. Systems managed include the central operational system, the Institute website, and Salesforce (the Institute's Customer Relationship Management system). The team ensures robust and reliable integration between all systems whether internal, University-managed or external. Our activities primarily take place at Madingley Hall (a residential Grade I listed building), which provides facilities for conferences and events, and a full hotel service. Madingley Hall has 13 meeting rooms, 62 ensuite bedrooms, a bar and lounge, set in 8 acres of grounds (including Capability Brown designed gardens).
After this apprenticeship
The appointments will be made on a Fixed Term basis of 30 months. Appointments will be subject to satisfactory completion of a three-month probationary period.
Ask a question
The contact for this apprenticeship is:
FIREBRAND TRAINING LIMITED
Leia Knights
LeiaKnights@bpp.com
01133500333
The reference code for this apprenticeship is VAC1000325203.
Apply now
Closes in 16 days (Sunday 29 June 2025)
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After signing in, you’ll apply for this apprenticeship on the company's website.