At a Glance
- Tasks: Use data and tech to enhance student experiences and improve employment outcomes.
- Company: Join Imperial Business School, a world-leading institution with a mission for humanity.
- Benefits: Enjoy 41 days of annual leave, flexible working, and a generous salary package.
- Other info: Be part of a collaborative culture with excellent career growth opportunities.
- Why this job: Make a real impact in a diverse community while developing your data skills.
- Qualifications: Strong analytical skills, experience with data collection, and proficiency in Excel, SQL, and Python.
The predicted salary is between 40000 - 50000 £ per year.
Ready to use your data skills to make a real impact? Join Imperial Business School as a Data & Technology Coordinator, where you’ll use data, technology and innovation to help personalise the student experience, improve reporting on employment outcomes, and generate insights that support the School’s ambitious strategy. This is an exciting opportunity to shape a cutting‑edge, data‑driven service supporting a diverse global community of students and alumni.
Responsibilities
- Reporting to the Head of Data and Technology to drive the employment outcomes data collection for 18 programmes at the Business School covering outcomes of 3,000+ MSc and MBA students a year.
- Collaborate with colleagues across the Business School and proactively contact students and alumni to support the gathering of key employment data using a range of methods and channels; maintain and update annual planners to support this activity.
- Develop, embed and coordinate the use of key online platforms used by the Careers & Student Life division including leading and maintaining Symplicity, a world‑leading careers management system and reporting tool.
- Work with the Head of Data and Technology to produce employment reports for our MSc and MBA Programmes and to report data for external School and programme ranking submissions.
- Champion the use of Power BI dashboards for key stakeholders to access information to inform strategic decisions and planning.
Qualifications
- Good administration skills and a high degree of accuracy and attention to detail.
- Strong analytic and technology skills including advanced Excel skills, SQL and Python.
- Experience of gathering/participating in data collection.
- Experience and evidence of using data to produce reports and analysis with Power BI.
- Experience of creating data pipelines from a third‑party software into dashboards or equivalent.
- Able to operate autonomously.
- A sensitivity to different cultures and employment practices between the UK and elsewhere, with a proven commitment to equality of opportunity.
- Educational technology experience.
Benefits
- The opportunity to continue your career at a world‑leading institution and be part of our mission to use science for humanity.
- Benefit from a sector‑leading salary and remuneration package (including 41 days’ annual leave and generous pension schemes).
- Access to a range of workplace benefits including a flexible working policy from day one, generous family leave packages, on‑site leisure facilities and cycle‑to‑work scheme.
- Interest‑free season ticket loan schemes for travel.
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
This is a full‑time, open‑ended position based at South Kensington campus (hybrid).
Data and Technology Coordinator, Careers and Student Life employer: SONICOM
Imperial Business School is an exceptional employer, offering a dynamic work environment where data and technology play a pivotal role in enhancing the student experience. With a commitment to diversity and inclusion, employees benefit from a generous remuneration package, including 41 days of annual leave, flexible working arrangements, and access to on-site leisure facilities. Join us at our South Kensington campus to be part of a forward-thinking institution dedicated to using science for humanity while enjoying ample opportunities for personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Technology Coordinator, Careers and Student Life
✨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 SONICOM!
✨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 Technology Coordinator, Careers and Student Life at SONICOM.
✨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 SONICOM.
✨Apply Directly through Our Website
When you find a suitable opening like Data and Technology Coordinator, Careers and Student Life at SONICOM, 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 Technology Coordinator, Careers and Student Life
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 SONICOM, 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 SONICOM. 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 SONICOM
✨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 SONICOM!
✨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.
