At a Glance
- Tasks: Lead data-driven decisions in the Marine sector and manage customer survey data.
- Company: Join a forward-thinking organisation committed to marine data excellence.
- Benefits: Enjoy flexible working, private healthcare, and 28 days holiday plus more.
- Other info: Be part of a disability confident employer with a focus on inclusivity.
- Why this job: Shape the future of marine data and make a real impact on strategic initiatives.
- Qualifications: Experience in data management and strong communication skills are essential.
The predicted salary is between 59877 - 70000 £ per year.
Purpose of Role: The Marine Data Manager holds a critical role in shaping data-driven decision-making within Marine with responsibility for customer survey data within the Marine Data Exchange (MDE). This position focuses on defining our strategy to collecting and assessing data required from customers to support strategic choices and inform the future shaping of the Marine Data Exchange. By standardising data, conducting thorough assurance, and undertaking gap analysis, the Marine Data Manager ensures the availability of reliable data for effective decision‑making. This role is instrumental in fostering key data stakeholder and customer relationships.
- Lead and manage the delivery of the Marine Data Exchange (MDE), including system development, survey data management, and ensuring a seamless customer journey.
- Define data requirements tailored to Marine customers, contributing to robust decision‑making processes.
- Cultivate and nurture essential relationships with key data stakeholders and customers, ensuring a deep understanding of data needs and priorities.
- Spearhead the standardisation of data collection processes, ensuring uniformity and dependability of data across Marine operations.
- Conduct comprehensive assurance and gap analysis to enhance data quality.
- Oversee specific data and digital tools (in particular the development of the Marine Data Exchange), working with Digital to manage their deployment, maintenance, and optimisation to enable informed data‑driven decisions within the Marine sector.
- Utilise Marine data science expertise to analyse collected data, generating valuable insights that empower evidence‑based strategic initiatives.
- Engage with external stakeholders effectively, collaborating with industry partners and organisations to advance data‑related endeavours including through MEDIN and Offshore Energy Digital Strategy Group.
Demonstrated proficiency in data management, analysis, and stakeholder engagement within Marine. Sound understanding of data gathering, reporting, and marine evidence collection, coupled with expertise in marine data science and analytical techniques. Strong grasp of technology insights, sector knowledge, and data standardisation to drive data‑driven decision‑making practices, collaborating seamlessly with TCE. Excellent communication and interpersonal skills, facilitating effective engagement, relationship management, and internal communication.
As well as a competitive salary, pension and performance related bonus offering, we have a wealth of benefits available: flexible working, market leading family policies and shopping discounts in the West End, private healthcare, life and critical illness cover, 28 days holiday with the option to buy more.
Disability Disclaimer: We are a proud disability confident employer and operate the offer of interview scheme. We are happy to offer alternative application methods or formats and can be flexible on our process to enable you to have the best opportunity. If you have any questions about our recruitment process or would like to talk about adjustments, please contact us directly, or at careers@thecrownestate.co.uk.
Marine Data Manager employer: Women in Data®
Women in Data® is an exceptional employer that champions diversity and innovation within the tech industry. With a strong commitment to employee growth, you will benefit from generous annual leave, ongoing development opportunities, and a collaborative work culture that values mentorship and technical excellence. Join us in a role that not only enhances your career but also contributes to meaningful initiatives in data and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Marine Data Manager
✨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 Women in Data®!
✨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 Marine Data Manager at Women in Data®.
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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 Women in Data®.
✨Apply Directly through Our Website
When you find a suitable opening like Marine Data Manager at Women in Data®, 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 Marine Data Manager
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 Women in Data®, 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 Women in Data®. 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 Women in Data®
✨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 Women in Data®!
✨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.
