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Data Analyst

The Open University

Milton Keynes

On-site

GBP 30,000 - 40,000

Full time

6 days ago

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Job summary

The Open University is seeking a Talent Acquisition Manager in Milton Keynes. This role involves leveraging data analysis to support workforce management, reporting, and decision-making. The successful candidate will have expertise in SQL and data visualization tools like Power BI, alongside strong communication skills to engage various stakeholders.

Qualifications

Experience with large and complex datasets.
Ability to interpret qualitative and quantitative data.
Strong communication and presentation skills.

Responsibilities

Develop analytical frameworks and actionable reports.
Engage with stakeholders for data needs.
Produce dashboards with insights and recommendations.

Skills

Data Analysis

SQL

Data Visualization

Team Working

Communication

Education

Undergraduate degree in a mathematics or statistics related field

Tools

Microsoft Power BI

MS PowerPoint

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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

The Open University is committed to equality, diversity and inclusion which is reflected in our mission to be open to people, places, methods and ideas. We aim to foster a diverse and inclusive environment so that all in our OU community can reach their potential. We recognise that different people bring different perspectives, ideas, knowledge, and culture, and that this difference brings great strength. We strive to recruit, retain and develop the careers of a diverse pool of students and staff, and particularly encourage applications from all underrepresented groups. We also aspire to make The Open University a supportive workplace for all through our policies, services and staff networks

Seniority level

Seniority level
Associate

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Higher Education

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