Senior Data Analyst

Lloyd’s Register

Location: Constanta, Romania

 

What we’re looking for

The purpose of this role is to turn large, complex maritime datasets into clear, defensible analysis that informs advisory engagements and supports our data products. AIS and other spatio-temporal data sit at the centre of the work, and most projects begin with an ambiguous question, so we are looking for someone who can frame the problem, build the pipeline, run the analysis, and state plainly what the results do and do not support. The role spans the full analytics lifecycle: you will not work separately as an “analyst” and an “engineer”, but will access and model the data, interrogate it, and produce the output yourself, whether that is a quick extract, a map, a dashboard, or a written deliverable a client will act on. As the team moves towards automation and self-service, the role also carries a build dimension: codifying repeatable analyses into reusable components rather than rebuilding them each time.

 

What we offer you

The chance to join an organization with a clear sense of purpose, a values-based culture, and programs that support colleagues’ professional and personal growth.

Full-time

 

The role

  • Frame ambiguous, open-ended business questions into a clear analytical approach, then build the pipeline, run the analysis, and produce the output.
  • Work across the full analytics lifecycle without handing off between analyst and engineer: access and model the data, interrogate it, and produce the deliverable, whether that's an extract, a map, a dashboard, or a written output a client will act on.
  • Codify repeatable analyses into reusable components and tooling to support the team's move towards automation and self-service.
  • In the first few months, become productive in Databricks and contribute to live project work, producing outputs that hold up to technical and client scrutiny.
  • Within the first year, take a loosely defined question and return an answer that is reproducible, well-validated, and clearly caveated, with minimal rework.
  • Ensure your analysis is reliable, defensible, and reproducible, so that clients can act on it directly.
  • Raise the technical standard around you through peer review, mentoring, and ownership of specific data products or workstreams.

 

What you bring

  • Advanced reasoning skills, with a history of converting vague, open-ended questions into well-supported answers instead of simply running predefined reports.
  • Proficiency in SQL and Python for analysis.
  • Experience with large datasets, and the judgement to know when an approach will not scale.
  • A working grasp of data quality, validation, and reproducibility as habit.
  • Comfort with ambiguity and incomplete requirements, and the discipline to state what the data does and does not support.
  • Experience with Git and collaborative development.
  • Clear written and verbal communication in English with non-technical stakeholders.
  • A quantitative or analytical degree, or equivalent demonstrable experience.

 

Nice to have

  • Production Databricks experience (Delta, medallion, job orchestration), or solid evidence of fast ramp on an equivalent distributed platform.
  • Spatial analysis at scale: PySpark, Spark SQL, Spark spatial SQL, H3 indexing, or comparable distributed geospatial work.
  • Familiarity with AIS or comparable spatio-temporal data (positions, port calls, voyages, activity states).
  • Ingestion from heterogeneous sources: SQL/Postgres, web scraping, and third-party APIs.
  • Exposure to serving layers: natural-language-to-SQL (Genie or similar) or lightweight data-product apps.

 

You are someone who

  • Is keen to take accountability and ownership for delivering customer needs
  • Is able to self-manage and prioritize tasks towards reaching goals
  • Is effective at solving problems, trouble-shooting and making timely decisions
  • Is ready and eager to take initiatives
  • Communicates in a structured way and has ability to present technical ideas in user-friendly language
  • Displays a team spirit, particularly in a multicultural environment
  • Responds positively to learning opportunities and is comfortable stepping out of own comfort zone

 

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