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Data Analyst Degree Apprentice

Employer
UNIVERSITY OF BIRMINGHAM
Location
Edgbaston, Birmingham, West Midlands, B15 2TT
Salary
£22,339.00 annually
Closing date
14 Jul 2022

View more

Specialism
Other
Sector
Unspecified
Role Type
Apprenticeship, Degree
Start Date
September
Duration
Permanent
What will the apprentice be doing?

Main duties the apprentice will learn to:
1. work with appropriate senior colleagues to support the development of targets, reports and scorecards to monitor institutional progress against its Strategic Framework.
2. help implement procedures to monitor institutional, College and School-level performance against B2030 goals and priorities.
3. undertake quantitative data manipulation, analysis and modelling on internal and external datasets. This will include the collating, interrogating and manipulating of large datasets in appropriate data packages.
4. present analysis and recommendations to a variety of audiences, ranging from the University Executive, to senior decision makers and Heads of Professional Services.
5. develop, maintain and publish usable, accessible and timely outputs for use by University managers in decision making processes, ensuring outputs are appropriate to the target audience.
6. Gather, understand and translate user needs into appropriate specifications for information and reporting provision
7. review information available and recommend improvements to maximise effectiveness and identify information gaps.
8. respond to requests from internal and external stakeholders for information and analysis and where more complex requests refer them onto more senior team members.
9. Support the development of processes and systems to collect, collate, and manage datasets to ensure appropriate coverage and quality to respond to internal and external reporting needs.
10. adopt a continuous improvement approach to your work, proactively recognising and effectively communicating risks to delivery, putting in place actions to mitigate risks or escalating as required, and recommending solutions to improve the team's efficiency and service.
11. develop strong working relationships with a range of individuals from across both Professional Services and the faculties, as well as with the senior management of the University.
12. provide training, advice and guidance to colleagues across the institution to promote increased understanding of internal and external datasets in support institutional planning and performance.
13. attend internal and external committees, project and working group meetings to ensure appropriate local or University issues are discussed, and to participate in University-wide activities as appropriate.
14. Promote equality and value diversity, acting as a role model and fostering an inclusive working culture.
15. Support the University's sustainability agenda through resource efficient working.
16. Any other duties commensurate with the grade.

What training will the apprentice take and what qualification will the apprentice get at the end?

Apprentices will achieve a BSc (Hons)Data Science

The development of automated systems and data gathering has meant that 'big data' and data sets are now the norm in many areas of industry, including the sciences, finance, retail, the digital economy and social media.

Designed in partnership with employers, our Data Scientist Degree Apprenticeship is a work-based programme that trains apprentices to understand and manage large data sets within their own organisations.

Apprentices will learn and apply specific data analysis techniques along with data science problem-solving skills, such as statistics, mathematical modelling, algorithm design and computer programming. This is complemented by key business skills, such as presentation and communication skills, team working and organising workloads.

Throughout the programme, apprentices are encouraged to look for opportunities, data and business questions within their organisation to apply the techniques learned. It enables apprentices to bring their real working life into projects, which contextualises the learning and makes it even more meaningful.

The programme - with its separate teaching and assessment blocks - is designed to give apprentices the opportunity to deepen their understanding of the learning and demonstrate their knowledge, skills and behavioural competence in their workplace.

What is the expected career progression after this apprenticeship?

At the end of the Apprenticeship you could move into roles such as:

· Senior (HE) Planning Officer

· Insight Analyst

· Senior Data and Insight Analyst

· Data Architect

· Data Engineer

· Analyst

· Technology Professional

· Data Scientist

· Data Engineer

Requirements and prospects

Desired skills and personal qualities

Communication skills, IT skills, Attention to detail, Organisation skills, Customer care skills, Problem solving skills, Presentation skills, Administrative skills, Number skills, Analytical skills, Logical, Team working, Initiative, Non judgemental, Patience

Qualifications

GCSE or equivalent English (Grade C or above (4-9)) Essential
GCSE or equivalent Maths (Grade C or above (4-9)) Essential
A Level or equivalent BBB-BBC at A-Level, with B in Maths or equivalent (Grade BBB-BBC at A-Level,) Essential

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