Senior Data Analyst - Maritime Technology at Pole Star Global

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

65000.0

Posted On

16 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Apache Spark, Amazon QuickSight, Tableau, AWS, Geospatial Analytics, Data Modeling, Data Governance, Stakeholder Management, Time-series Analysis, PostGIS, H3, GeoParquet, QGIS, Data Quality Control

Industry

technology;Information and Internet

Description

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 vouchers Buy/Sell holidays Cycle to work scheme Medicash health cash plan Home and tech scheme Life insurance, company funded to 3x salary Employee assistance program 25 days annual leave 5 wellbeing days Volunteering leave (2 days annually) Up to a 5% matching pension Unlimited learning and development opportunities Refer-a-friend recruitment bonus

Responsibilities

Transform complex maritime data into actionable insights by building dashboards and analytical workflows. Partner with engineering and product teams to define data models and maintain the canonical source of truth for metrics.