At a Glance
- Tasks: Analyse data trends and create impactful reports for strategic decision making.
- Company: Award-winning City College Plymouth, known for its supportive culture.
- Benefits: 29 days holiday, career development, free meals, and pension contributions.
- Other info: Opportunities for growth in a vibrant educational environment.
- Why this job: Join a dynamic team and make a real difference in education.
- Qualifications: Strong analytical skills and a passion for data-driven decision making.
The predicted salary is between 36070 - 36070 £ per year.
Full Time | Permanent | £36,070 Per Annum
Who We Are
Winner of the Best Place to Work at the Tech South West Awards 2025, City College Plymouth offers a culture the College is proud of. Our core values of Respect, Ownership and Integrity help create an environment that supports a passion for teaching and learning. These values guide our work as we enrich our community through knowledge, experience and skills so every student can achieve their best. As one of the country’s largest providers of quality education and training, City College Plymouth is entering a period of transition to enable us to propel education into the future. We take pride in offering a learning environment and organisational culture that contribute positively to the health, wellbeing and sustainability of our community and enable all our students and staff to achieve their full potential.
The Role
The role of Data Analyst requires a dynamic and highly motivated individual, with responsibility for providing key data through reporting and dashboards to all stakeholders. The role will include analysing data for key trends and patterns to assist in the identification of positive impact for successful outcomes for the organisation and its learners. The post holder will be responsible for continually developing and improving the College’s data warehouse, sharing best practice, working with internal stakeholders to understand their data needs and develop solutions to meet those needs. Analysing key trends to generate actionable insights for stakeholders for informed strategic decision making. The role also includes maintenance and management of the college’s Management Information Software for data accuracy and efficient working practices within the MIS department and to support all services users. This position is based solely at our King’s Road Site. There will not be any provision for online hybrid working.
What Will You Bring To The Role
- Delivering: Ensure timely, secure and accurate data through reporting and dashboards to facilitate the monitoring and key performance outcomes.
- Analysing: Ensuring data and reporting is accurate, understandable to the customer and impactful for strategic decision making.
- Focused: Ensure that technical knowledge is up to date, researching new technologies and skills that can improve informed data and decision making.
- Interpreting Quantitative Data: Ability to analyse data to evaluate accuracy and/or changes in patterns that require attention.
Benefits
- Holiday: 29 days plus bank holidays and College Closure over Christmas.
- Career development opportunities.
- Generous contributions towards your pension.
- Free tea, coffee and lunch in our dedicated staff lounge.
How We Recruit
We aim to recruit based on potential, not experience. We are interested in seeing your behaviours in action and how they will help you become successful at City College Plymouth, giving everyone the opportunity to show their potential, regardless of background or experience. The College welcomes applications from service leavers and the Armed Forces community, and supports those service leavers who are Reservists in any of the Armed Forces. The College reserves the right to close this advertisement early if sufficient applications have been received.
Data Analyst in Plymouth employer: onlyFE
onlyFE is an excellent employer that values its staff and fosters a supportive work culture, particularly for those in the Education Cleaning Specialist role at our Poole campus. We offer competitive benefits, opportunities for professional growth, and a commitment to maintaining a safe and clean environment for both students and staff, making it a rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Plymouth
✨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 onlyFE!
✨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 Analyst at onlyFE.
✨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 onlyFE.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at onlyFE, 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 Plymouth
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 onlyFE, 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 onlyFE. 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 onlyFE
✨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 onlyFE!
✨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.
