Business Data Manager in Liverpool

Business Data Manager in Liverpool

Liverpool Part-Time 31500 - 38500 £ / year (est.) Home office (partial)
The National Oceanography Centre

At a Glance

  • Tasks: Support customers with software and data products, ensuring excellent service and relationship management.
  • Company: Join the National Oceanography Centre, a leader in ocean research and innovation.
  • Benefits: Enjoy 30 days leave, pension contributions, and flexible working options.
  • Other info: Hybrid working available, with a vibrant community and opportunities for career growth.
  • Why this job: Make a real impact in marine science while developing your skills in a dynamic environment.
  • Qualifications: STEM background or equivalent experience, with strong data manipulation and communication skills.

The predicted salary is between 31500 - 38500 £ per year.

We are the National Oceanography Centre (NOC) - the UK’s leading institution for integrated coastal and deep ocean research. Through our ground-breaking research, collaboration, and game-changing innovation we work to gain a deeper understanding of our ocean, helping every living thing on our planet flourish. We are made up of a dynamic and vibrant community focused on solving challenging long-term marine science problems, underpinning international and UK public policy, business and societal outcomes. The ocean has the potential to provide the solutions to so many of the social, economic and environmental challenges we face worldwide. To truly harness the value of the ocean, we put ocean research, science and discovery at the heart of our culture. Join us in shaping the future of oceanographic research and contribute your unique perspective to our organisation.

About the role

The Commercial Software and Data Team (CSD) is a well-established team in NOCI – the trading subsidiary of the National Oceanography Centre. The team skills focus on the creation of professional software products for tidal prediction and analysis and in the use of these products in-house to provide a professional and efficient service offering data, consultancy and advice to private, public and academic sectors. This role will be supporting customers who enquire about our software and data products, from initial enquiries, quotes, preparing data and generating invoices whilst maintaining the excellent levels of customer service and support. The role will include, but is not limited to, the provision of accurate data and data products, setting up the software to suit each customer’s needs whilst maintaining excellent levels of customer service and support. You will maintain good customer relationships with face-to-face meetings, attend events to promote our products and gather customer feedback. You will contribute to discussions on future development making sure our products fully reflect NOC's excellence and expertise. You may create training videos, information sheets and other tools for Hubspot to complement our business offering.

About you

You are motivated to work within NOC-I to help deliver commercial value from NOC’s world-leading scientific research and have a desire to facilitate an efficient and professional service supplying reliable and comprehensive data/info to NOC Innovations’ customers. You have a flexible and organised approach to your work, with a keen eye for detail. You will be willing to both follow and enhance procedures to improve working methods. You have a background in a STEM subject to degree or equivalent level or have equivalent work experience in a technical environment. Through your career experience you are able to demonstrate that you have confidence in using MS Office and other platforms to perform a wide variety of tasks including manipulating data, analysis, and preparation of both reports and data for customers. You are equally comfortable working as part of a team or independently and capable of making informed decisions. You are able to communicate effectively at all levels of an organisation and build relationships with external customers across the world. Your excellent interpersonal and negotiation skills enable you to effectively communicate with a wide range of internal and external customers. You will contribute ideas into the team to support the ongoing income diversification challenge. You will be comfortable working with software developers, marine scientists and business development staff utilising customer feedback you have gathered to input into the design of our software products making sure products fully reflect NOC's excellence and expertise. You will be involved in the delivery of the existing suite of NOC’s commercial software products and services, including contractual work to the Environment Agency. You will thrive on the ability to promote our software, providing demonstrations, helping customers with set-up and providing support. You will have experience of HubSpot or a similar CRM, experience with Unit 4 would also be beneficial.

Why NOC?

  • 30 days contractual annual leave, plus 3.5 extra closure days and bank holidays
  • a 10% employer contribution pension scheme (with a 15% NI saving on employee contributions made above 5%, if in the salary sacrifice scheme)
  • Death in Service (3 times annual salary) provided by Aviva from day one of employment, plus access to a range of other Aviva wellbeing services
  • financial support for relocation
  • a salary sacrifice scheme for electric / hybrid vehicles (qualifying period applies)
  • access to our Employee Assistance Programme, offering free and confidential support on mental, physical, emotional, health and financial issues
  • access to a flexible benefits portal offering online discounts, cashback and eGift cards
  • a Cycle2Work scheme allowing employees to acquire bikes and accessories
  • a great working environment with a number of social events, including summer and Christmas celebrations
  • we are proud to be a Living Wage Employer

Location

This position will be based in Liverpool. The centre is part of the University campus and is only a short walk from the city centre and Lime Street station. We have a hybrid working approach where for most positions staff can work from home up to 2 days per week (pro-rated for part-time staff). If you are interested in this position, but require a more flexible working arrangement, please contact the recruitment team using the contact details below.

We are committed to fostering diversity and inclusion in our workplace. We actively encourage qualified candidates from all backgrounds to apply for this position, as we strive to create a supportive and equitable environment where all voices are valued and heard. Those seeking employment at NOC are considered solely on their qualifications, skills and experience, without regard to gender, gender identity, age, race, religion, disability, sex, sexual orientation, relationship status, family status (including pregnancy / maternity leave) or any other protected characteristic. There is a guaranteed interview scheme for candidates who meet the minimum criteria of the position and declare a disability.

Date advert posted: 21 August 2026. Closing date: 18 September 2026. This vacancy may close earlier depending on the number of applicants.

Business Data Manager in Liverpool employer: The National Oceanography Centre

The National Oceanography Centre (NOC) is an exceptional employer, offering a vibrant work culture that prioritises collaboration and innovation in oceanographic research. Employees benefit from a generous pension scheme, comprehensive wellbeing support, and opportunities for professional growth while contributing to meaningful scientific advancements aboard world-class research vessels. Based in Southampton, NOC fosters a diverse and inclusive environment, ensuring every team member's voice is valued as they tackle global marine challenges together.

The National Oceanography Centre

Contact Details:

The National Oceanography Centre Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Business Data Manager in Liverpool

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 The 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 The 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 Business Data Manager in Liverpool

Customer Service
Data Management
Software Setup
Interpersonal Skills
Negotiation Skills
MS Office Proficiency
Data Analysis

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 The 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 The 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 The 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 The 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 The 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 The 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.