Data Analyst in Salford

Data Analyst in Salford

Salford Full-Time 36900 - 45100 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse data, create reports, and support decision-making across the University.
  • Company: Join the Strategy and Data team at the University of Salford.
  • Benefits: Competitive salary, 32 days leave, wellbeing support, and lifestyle discounts.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Kickstart your career in data analysis and make a real impact on students' lives.
  • Qualifications: Recent graduates or those with relevant training in data analysis.

The predicted salary is between 36900 - 45100 £ per year.

Are you a recent graduate with a passion for data, analysis and problem-solving? We are looking for a Data Analyst to join our Strategy and Data team and help deliver high-quality insight that supports decision-making across the University. This is an excellent opportunity to develop your analytical, reporting and data management skills in a supportive environment while working with real institutional data. You'll contribute to reports, dashboards and analysis that inform operational and strategic decisions, while gaining experience with modern analytical tools and techniques. We're looking for someone who is curious, evidence-driven and keen to build a career in data and analytics. Applications are welcomed from graduates and those with relevant training seeking their first professional role in data analysis.

Key Responsibilities

  • Produce regular and ad hoc reports using institutional data to support decision-making across the University.
  • Analyse data to identify trends, patterns and areas for improvement, translating findings into clear and accessible insights.
  • Support the development and maintenance of dashboards, reports and management information tools.
  • Assist with data preparation, validation and quality assurance to ensure accuracy and consistency in reporting.
  • Work collaboratively with colleagues across the University to improve reporting processes, solve business problems and develop analytical capability.

About the Department

In the Strategy Directorate, we play a central role in supporting the University of Salford's strategic ambitions through evidence-based decision-making, planning and performance management. Our Directorate’s responsibilities include the University's strategic and operational reporting, providing insight that informs decision-making at all levels of the institution, as well as strategic planning, policy analysis, corporate risk management and statutory returns. The analytics team delivers data, reporting and insight to support planning, performance monitoring and continuous improvement. We are committed to developing modern analytics approaches, improving access to high-quality management information and helping colleagues use data effectively to drive positive outcomes for students and the wider University community.

As a Data Analyst, you'll join a small, specialist team with the opportunity to learn from experienced analysts while contributing to meaningful projects that make a real impact across the University.

What's in it for you?

  • Competitive salary - and excellent pension scheme
  • An impressive 32 days leave - plus bank holidays, additional time off at Christmas and the opportunity to buy even more!
  • Our community - there's a real sense of belonging here at Salford. We value diversity, in backgrounds and in experiences. Our difference makes us stronger, and together we share a passion for improving students' lives
  • The Perks! - MySalford, our online employee portal offers a wide range of lifestyle benefits and discounts
  • Wellbeing support - all our people are important to us and we have services and facilities dedicated to your mental and physical health, ranging from an Employee Assistance Programme and counselling, to sports and fitness facilities including discounted gym memberships
  • Greater Manchester - live and work in one of the most vibrant regions in the UK, a hot spot of digital innovation, excellent schools and colleges, and with affordable city, suburban and rural living options to suit a wide range of lifestyles

Please note this opportunity may close early depending on applicant volume.

Data Analyst in Salford employer: University of Salford

As a Senior Lecturer in Forensic Psychology at Salford, you will join a vibrant and supportive community dedicated to shaping the future of health professionals and social leaders. With competitive salaries, an impressive 32 days of leave, and a strong emphasis on professional development, Salford fosters a culture of flexibility and inclusivity, ensuring that every employee feels valued and empowered to reach their full potential. The university's commitment to collaboration and diversity enhances the work environment, making it an exceptional place for meaningful and rewarding employment.

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Contact Details:

University of Salford Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in Salford

Get Involved in Data Science Meetups

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Show Off Your Projects

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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 of Salford.

Apply Directly through Our Website

When you find a suitable opening like Data Analyst at University of Salford, 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 Analyst in Salford

Data Analysis
Reporting Skills
Dashboard Development
Data Management
Quality Assurance
Problem-Solving Skills
Collaboration

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 of Salford, 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 of Salford. 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 of Salford

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 of Salford!

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.