About the Role
The Workforce Data Team provides expert data analyses and reports to support workforce management and planning. As a team we aim to support our key stakeholders in the university by enabling evidence driven decision making through data and analytics.
Data Analysts within the team work across the following three functions:
•Report development – creating and maintaining reports and dashboards that enable effective operational processes, identify issues and evidence based action.
•Managing and servicing data requests – responding to specific requests for data and analysis where self-serve tools do not exist, including supporting response to Freedom of Information requests and creating selections and samples for communications and surveys.
•Strategic analysis – conducting deep dive pieces of analysis to provide insight into an identified business question including collaboratively forming recommendations for action.
This role sits in the Tuition Workforce Data team, who work closely with TXSS Tuition Planning and Delivery. The teams work together designing content to inform Associate Lecturer (AL) workload planning, AL budget management, tutor allocations and marking activities. Each individual team member has a different mix of skillsets, and project allocation is balanced to play to individual strengths whilst also offering the opportunity to develop and apply new skills over time.
Key Responsibilities
•Contribute to the development of coherent and relevant analytical frameworks which deliver actionable reports or business insights.
•Carry out robust analyses using a range of data sets, including both qualitative and quantitative data, and interpret findings to present appropriate conclusions or report/dashboard outputs, documenting the end-to-end process.
•Bring together the output from analyses into simple and persuasive stories and present these in visual reports (slide-decks or written) or dashboards.
•Engage with stakeholders to understand their reporting and data analysis needs.
•Produce dashboards which are fit for purpose and provide insight and narrative with recommendations to the end-users based on data and to support reporting to management groups.
•Evaluate and, where appropriate, constructively challenge requests for data and analysis from stakeholders and suggest additions or improvements.
•Ensure requests for data and analysis are completed in a timely manner, identifying where additional resource will be required or where the request should be directed elsewhere, and communicate effectively with colleagues within and outside the team to ensure expectations are fulfilled.
•Provide training, briefing and guidance on the use of reports, dashboards and tools to enable users to self-serve.
All staff are expected to:
•Take a proactive approach to work and be flexible and adaptable to meet the changing demands of the work and the University.
•Pay close attention to detail in all aspects of work to ensure a high standard of output.
•Ensure that all relevant data protection, information security and data retention policies are adhered to.
•Undertake any other duties which may reasonably be required.
•Demonstrate a strong commitment to the principles and practice of equality and diversity.
Skills and Experience
•Undergraduate degree / equivalent, or work experience at a comparable level, in a subject with a strong mathematics or statistics element
•Strong practical ability to manipulate and analyse large and complex datasets (SQL, M-Query or equivalent)
•Proven ability to understand business questions and contribute to the development of a coherent analytical framework which delivers insight into performance
•Experience of analysing complex data from a wide range of sources including both qualitative and quantitative data and interpreting outputs appropriately
•Ability to tell simple and persuasive stories using complex data or analysis aimed at a variety of stakeholders, including non-technical audiences, through effective visuals (using e.g. MS PowerPoint) or dashboards (using MS Power BI or similar tool)
•Ability to develop robust dashboard products using best practices (Microsoft Power BI Data Analyst certification desirable, or equivalent skills and experience with Power BI or similar tool)
•Excellent team working skills, with the ability to collaborate in multi-functional teams with other analysts, project managers and subject matter experts
•Excellent communication and presentation skills, both oral and written, with the ability to interact effectively with all levels within the organisation
•Able to work independently, prioritise workload, work well under pressure and respond to change in a flexible and positive manner
•Strong working knowledge of using Microsoft Office applications and specialist data visualisation applications to create visually impactful presentation of data analysis
Essential Requirements
As part of the application process, you will be expected to submit your CV and a Supporting Statement (maximum of 1000 words) that demonstrates how you meet the criteria listed above.
Flexible working
We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another working arrangement. Please reach out to us to discuss what may work for you and the role.
Early closing date notification
We may close this job advert earlier than the published closing date where a satisfactory number of applications are received. We would therefore encourage early applications.
It is anticipated that a hybrid working pattern can be adopted for this role, where the successful candidate can work from home and the office. However, as this role is contractually aligned to our Milton Keynes office it is expected that some attendance in the office will be required when necessary and in response to business needs. We anticipate this being once per month on average.
Interviews will be held on the 10th and 14th July, and will involve pre interview work, which will be sent 1 hour before the interview - and will then be followed by a 1 hour competency based interview via teams.
