Data and Insights Manager in Manchester

Data and Insights Manager in Manchester

Manchester Full-Time 37000 - 42000 £ / year (est.) No working from home possible
University Academy 92

At a Glance

  • Tasks: Transform complex data into insights that enhance student success and academic performance.
  • Company: UA92, a forward-thinking university co-founded by the Class of '92 and Lancaster University.
  • Benefits: Competitive salary, permanent contract, and a chance to shape higher education.
  • Other info: Join a diverse community committed to inclusion and continuous growth.
  • Why this job: Make a real impact on student outcomes and drive institutional decisions with data.
  • Qualifications: Experience in higher education data management and strong analytical skills required.

The predicted salary is between 37000 - 42000 £ per year.

At UA92, we’re deliberately different. Co-founded by the Class of ’92 and Lancaster University, UA92 was created to challenge what higher education can look like. We’re built around widening participation, social mobility, and allowing students from all backgrounds to succeed not simply in accessing higher education, but in thriving within it and beyond it. To do that well, we need to understand our students, our academic performance and where we can make the biggest difference.

We’re looking for a Data and Insights Manager who can turn complex higher education data into meaningful insight helping colleagues understand performance, strengthen student outcomes and make better-informed academic and institutional decisions.

The Role

Sitting within Registry and working closely with academic and professional services colleagues, this is a key role at the heart of how UA92 understands and uses its student data. You’ll lead our institutional approach to student data and reporting, with a particular focus on the measures that matter across higher education – continuation, completion, progression, student success and academic performance. You’ll interrogate the data behind those measures, identify patterns and trends and translate them into clear insight for colleagues and senior leaders. Whether looking at performance across teaching blocks, student demographics, attendance, enrolment or progression, you’ll help us move beyond reporting what has happened to understand what it means and where we should focus next.

There’s also an important regulatory dimension. Working closely with Lancaster University, you’ll oversee the preparation and quality assurance of student data supporting statutory and regulatory returns, including HESA, OfS, HESES, Student Finance and UKVI. As UA92 continues to develop, you’ll help shape our student systems roadmap and build our capability to independently manage statutory returns. You’ll also develop reporting and Power BI dashboards that put useful, accessible information into the hands of academic and professional services teams.

What You’ll Bring

You’ll already understand the higher education data landscape and the responsibility that comes with managing institutional student data. Experience working within Higher or Further Education in data, planning or a related role is essential, alongside a strong understanding of the regulatory environment and statutory reporting requirements, particularly HESA and OfS. You’ll be confident working with student record systems and large, complex datasets, with the technical ability to analyse, manipulate and visualise information using tools such as Excel and Power BI. Experience of statutory returns and transferring data into XML or equivalent formats will also be important. You’ll need to be curious about what the data is telling us and confident enough to ask the next question. You’ll be able to take complex information and turn it into something meaningful for different audiences from academic colleagues exploring student outcomes to senior leaders making institutional decisions. You’ll be educated to degree level, or bring equivalent professional qualifications or relevant experience within Computer Science, Data Analysis or a related area. A relevant Master’s qualification would be welcomed but isn’t essential. Above all, you’ll share our belief that data has its greatest value when we use it to make things better for our students.

The Particulars

  • Role: Data and Insights Manager
  • Salary: £37,000 – £42,000
  • Contract: Permanent, Full Time
  • Hours: 37.5 hours per week
  • Reporting to: Registrar
  • Location: UA92, Manchester

At UA92, you’ll join a university that is still growing, still evolving and still prepared to question how things have always been done. If you understand HE data, care about student outcomes and want the opportunity to shape how a developing institution uses evidence to drive academic performance and student success, we’d love to hear from you. Come and help us turn data into decisions that make a difference.

Equality, Diversity & Inclusion

UA92 is committed to building a diverse and inclusive community where everyone has the opportunity to fulfil their potential. We actively encourage applications from individuals from underrepresented backgrounds and those with non-traditional career paths. Additionally, we welcome candidates who have an understanding of inclusion. Applicants must have the right to work in the UK. UA92 cannot sponsor visas for this role.

Data and Insights Manager in Manchester employer: University Academy 92

University Academy 92 is an exceptional employer that values inclusivity and community engagement, making it a rewarding place for a Student Recruitment & Outreach Specialist. With a strong focus on professional development, employees benefit from a supportive work culture that encourages collaboration and innovation, alongside competitive salaries and opportunities for growth across multiple campuses. Join us to make a meaningful impact in the lives of students while working in a dynamic and inspiring environment.

University Academy 92

Contact Details:

University Academy 92 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data and Insights Manager in Manchester

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like University Academy 92!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data and Insights Manager at University Academy 92.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like University Academy 92.

Apply Directly through Our Website

When you find a suitable opening like Data and Insights Manager at University Academy 92, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data and Insights Manager in Manchester

Data Analysis
Statutory Reporting
HESA
OfS
Power BI
Excel
Student Record Systems

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at University Academy 92, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at University Academy 92. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at University Academy 92

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at University Academy 92!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.