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For Companies At a Glance
- Tasks: Transform complex maritime data into actionable insights and optimise reporting solutions.
- Company: Join Pole Star, a leader in maritime intelligence with a diverse global team.
- Benefits: Enjoy hybrid working, private healthcare, gym programs, and unlimited learning opportunities.
- Other info: Dynamic environment with excellent career growth and a supportive culture.
- Why this job: Make a real impact in maritime technology while working with cutting-edge data analytics.
- Qualifications: 7+ years in data analytics, strong Python and SQL skills, maritime tech experience preferred.
The predicted salary is between 60000 - 80000 ÂŁ per year.
About Pole Star
As the leader in maritime intelligence, Pole Star empowers better decision-making and protects clients’ business interests, assets, seafarers, vessels, cargo, infrastructure, investments, profitability, and reputation – through provision of high-performance, cyber-secure solutions underpinned by immense service and constant technological innovation. We have offices in London, USA, Singapore, Hong Kong and Panama, alongside presence in Australia. Teams are made up of over 19 nationalities, speaking 25 different languages.
The Opportunity
As a Senior Data Analyst, you will sit at the intersection of data engineering, product, and commercial teams, transforming complex maritime data into actionable insights for internal stakeholders and customers. You will work extensively with large-scale vessel, geospatial, and time-series datasets within AWS-based analytics environments.
Responsibilities
- Analyze and interpret large maritime datasets (vessel movement, position, compliance, risk, geospatial, time-series)
- Build, maintain, and optimize dashboards and reporting solutions for internal and customer‑facing use
- Develop analytical workflows using Python, SQL, and Spark within notebook‑based environments
- Partner with Data Engineers to define data models and analytics‑ready datasets that support reliable analytics and reporting
- Work closely with Product Managers and commercial teams to translate business questions into clear, measurable analytics outputs
- Monitor and validate data quality, accuracy, and timeliness; investigate anomalies and drive resolution with engineering teams
- Support ad‑hoc and exploratory analysis to inform product and operational decisions
- Accountable for Data "source of truth": define canonical metrics and rules, implement validation/monitoring, and align stakeholders on definitions, exceptions, and change impact.
Required Skills & Experience
- 7+ years’ experience in a data/analytics role
- Maritime technology experience and familiarity with maritime data concepts (AIS, vessel tracking, ports, sanctions, risk, compliance)
- Strong Python for data analysis (pandas and notebook‑based workflows)
- Advanced SQL (complex joins, window functions, performance tuning)
- Hands‑on experience with Apache Spark for large‑scale processing
- BI & visualization: Amazon QuickSight and/or Tableau
- Experience working with AWS environments/tools (S3, Athena, RDS, EMR or similar)
- Experience working with large‑scale time‑series and/or geospatial datasets
- Strong data governance and analytics best practices: metric/definition management, data quality controls (accuracy, completeness, timeliness), documentation, reproducibility, lineage awareness, and appropriate access/usage controls
- Strong stakeholder management and communication skills, able to work with technical and non‑technical audiences
Additional Skills
- Geospatial analytics tooling (PostGIS/H3/GeoParquet/QGIS)
- Experience with Meteorological and Oceanographic data
Education/Certifications
- Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering) or equivalent practical experience
- Relevant certifications are a plus (e.g., AWS Analytics, Tableau/QuickSight, Spark/Databricks, GIS)
Employee Benefits
- Hybrid/Flexible working
- Flexible Benefits Package Including Private healthcare, dental, optical
- Salary sacrifice schemes
- Gym and wellness programs
- Childcare
- Income protection, critical illness, etc.
- Prepaid Card for those little extra gifts (up to ÂŁ200 per year) for special moments
- Life insurance, company funded to 3x salary
- Discretionary Bonus
- Employee assistance program
- 25 days annual leave
- 5 wellness days
- Up to a 5% matching pension
- Refer-a-friend recruitment bonus
- Unlimited learning and development opportunities
Senior Data Analyst - Maritime Technology in London employer: Pole Star Global
Contact Detail:
Pole Star Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Maritime Technology in London
✨Tip Number 1
Network like a pro! Reach out to people in the maritime tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving maritime datasets. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios and maritime technology concepts. We want you to feel confident discussing how you can turn complex data into actionable insights.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Analyst - Maritime Technology in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with maritime data and any relevant tools like Python, SQL, and Spark. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about maritime technology and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving large-scale datasets or AWS environments, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Pole Star Global
✨Know Your Data Inside Out
Make sure you’re well-versed in maritime data concepts like AIS, vessel tracking, and compliance. Brush up on your experience with large-scale datasets and be ready to discuss specific examples of how you've transformed complex data into actionable insights.
✨Show Off Your Technical Skills
Prepare to demonstrate your proficiency in Python, SQL, and Apache Spark. Have a few coding examples or projects ready to share that highlight your ability to build analytical workflows and optimise dashboards, especially within AWS environments.
✨Communicate Clearly with Stakeholders
Practice explaining technical concepts in simple terms. You’ll need to work closely with both technical and non-technical teams, so being able to translate business questions into measurable analytics outputs is key. Think of scenarios where you’ve successfully done this before.
✨Emphasise Data Quality and Governance
Be prepared to discuss your approach to data quality controls and governance best practices. Highlight any experiences where you’ve monitored data accuracy and resolved anomalies, as this will show your commitment to maintaining a reliable 'source of truth' for the organisation.