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 £200 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