At a Glance
- Tasks: Drive data-informed decisions and analyse user engagement for product innovation.
- Company: Join ShipIn, a leader in maritime AI-powered solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities to work across diverse teams.
- Why this job: Make a real impact in the maritime industry with cutting-edge technology.
- Qualifications: 4-6 years in product analytics; strong SQL and analytical skills required.
The predicted salary is between 49500 - 60500 £ per year.
- Senior Product Analyst
- About Ship In
Ship In Systems is redefining how the maritime industry understands, manages, and reduces operational risk.
Our AI-powered visual fleet intelligence platform connects onboard video with shore-based teams, turning everyday vessel operations into actionable insight that helps prevent incidents before they escalat.
We work with many of the world’s leading shipowners and operators to bring greater visibility, accountability, and learning into daily operations at sea.
The result is safer crews, stronger performance, and smarter decision-making across global fleets.
If you’re drawn to complex, real‑world industries and want to build technology that changes behavior and improves safety at scale, join us.
About the role
As Ship In’s first Product Analyst, you will play a central role in driving data-informed decisions at Ship In.
This position combines hands‑on product analytics with strategic research for product innovation in the maritime and insurance domains.
The Analyst will support both product performance validation and discovery of new opportunities, ensuring that Ship In’s insights and scores deliver measurable value to customers and insurance partners.
You’ll report directly to the VP of Product while working with Product Managers, Data, AI/ML Engineers, Customer Success, and other key stakeholders.
Collaborate across disciplines - from Data Science and Maritime experts to Insurance partners - to transform insights into clear product strategies.
Key Responsibilities
- Serve as the go‑to person for product data analysis, validation, and reporting.
- Analyze user engagement across Ship In’s applications (onboard and shore personas) to understand adoption, workflows, and value extraction.
- Build dashboards and reports to track KPIs, risk scores, and product usage across customers and fleets.
- Partner with Product Managers, Designers, and Engineers to identify bottlenecks, validate hypotheses, and optimize product performance.
- Ensure data quality and consistency across internal analytics sources.
- Conduct data-driven research on emerging product opportunities, identifying trends and correlations within Ship In’s insights and risk scores for maritime insurance.
- Provide recommendations for new modules, features, or risk engineering tools tailored to the Maritime trends and needs.
Qualifications
- 4‑6 years of experience in product analytics, BI, or data research roles, in Saa S, AI/ML-driven products, or data‑rich enterprise applications.
- Hands‑on expertise with SQL and product analytics tools (e. g., Looker, Mixpanel, Amplitude, Tableau, or similar); comfort with Python/R for deeper analysis.
- Strong analytical skills with the ability to translate raw data into business insights.
- Ability to design and track KPIs, funnels, and cohort analyses.
- Bachelor’s degree in a quantitative field (Data Science, Statistics, Engineering, Economics, or similar). Advanced degrees (MSc, Ph D, MBA) are a plus.
- Strong communicator able to tell a story with data for both technical and business audiences.
- Curiosity and a proactive mindset in exploring patterns, anomalies, and new opportunities.
- Detail‑oriented, highly analytical, and structured.
- Ability to work cross‑functionally and balance execution with strategic thinking.
- Nice if you have
- Familiarity with maritime, industrial, Banking risk management or insurance industries is an advantage.
- Understanding of AI/ML concepts and risk scoring frameworks.
- #J-18808-Ljbffr
Senior Product Analyst employer: ShipIn
At ShipIn Systems, we pride ourselves on being an innovative employer that champions a collaborative and dynamic work culture. As a Senior Product Analyst, you will have the unique opportunity to shape the future of maritime safety through data-driven insights while working alongside industry experts in a supportive environment that fosters professional growth. Our commitment to employee development, coupled with our cutting-edge technology and focus on real-world impact, makes ShipIn an exceptional place to advance your career.
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We think this is how you could land Senior Product Analyst
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Product Analyst
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!
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Craft a Tailored Cover Letter:For a full-time role at ShipIn, 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 ShipIn. 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 ShipIn
✨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 ShipIn!
✨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.
