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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 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
✨Tip Number 1
Network like a pro! Reach out to people in the maritime tech industry on LinkedIn or at 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 related to maritime datasets. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've tackled complex datasets and turned them 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!
We think you need these skills to ace Senior Data Analyst - Maritime Technology
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 explain why you're passionate about maritime technology and how your background makes you a perfect fit for our team. Let us know what excites you about working at Pole Star.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving large datasets or AWS environments, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join 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
Be prepared to demonstrate your proficiency in Python, SQL, and Apache Spark. You might be asked to solve a problem or analyse a dataset during the interview, so practice coding challenges and be ready to explain your thought process clearly.
✨Understand the Business Context
Familiarise yourself with Pole Star’s mission and how they empower decision-making in the maritime industry. Think about how your analytical skills can directly impact their business goals and be ready to share your ideas on translating business questions into measurable analytics outputs.
✨Communicate Effectively
Since you'll be working with both technical and non-technical teams, practice explaining complex data concepts in simple terms. Prepare to discuss how you've managed stakeholder relationships in the past and how you ensure everyone is aligned on data definitions and metrics.