At a Glance
- Tasks: Manage marine data and software solutions while supporting customer enquiries and invoicing.
- Company: Join the National Oceanography Centre, a leader in marine science and technology.
- Benefits: Enjoy hybrid working, flexible hours, and a supportive team environment.
- Other info: Part-time role with opportunities for professional growth and development.
- Why this job: Make waves in marine data management and collaborate with experts in the field.
- Qualifications: STEM degree and strong data skills required; experience with HubSpot and Unit4 is a plus.
The predicted salary is between 63000 - 77000 £ per year.
The National Oceanography Centre in Liverpool is seeking a part-time Business Data Manager to support commercial software and data products, manage customer enquiries, quotes and invoicing, and maintain relationships with diverse clients. Hybrid working with some home-based days is available.
You will collaborate with software developers, marine scientists and business staff, using HubSpot and Unit4, with a STEM degree and strong data skills to deliver reliable information and high-quality services.
Marine Data & Software Solutions Manager in Southampton employer: National Oceanography Centre
The National Oceanography Centre (NOC) is an exceptional employer, offering a unique opportunity to work on cutting-edge scientific research vessels while contributing to vital oceanographic studies. With a strong commitment to employee wellbeing, NOC provides generous benefits including a robust pension scheme, death in service cover, and access to mental health support, all within a collaborative and inclusive work culture that values diversity. Based in Southampton, employees enjoy the chance to engage in meaningful work that has a global impact, alongside opportunities for professional growth and development in the marine science sector.
Contact Details:
National Oceanography Centre Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Marine Data & Software Solutions Manager in Southampton
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like National Oceanography Centre.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at National Oceanography Centre and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Marine Data & Software Solutions Manager in Southampton
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at National Oceanography Centre aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at National Oceanography Centre
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with National Oceanography Centre.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to National Oceanography Centre.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at National Oceanography Centre, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at National Oceanography Centre will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
