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13 дней назад

Senior Data Analyst (Companies/Ownership)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Greece
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Analyst (Companies/Ownership) (Maritime Data): Maintaining and expanding trusted company, ownership, and vessel particulars datasets with an accent on data quality, maritime industry expertise, and business-rule modelling. Focus on investigating complex ownership structures, automating validation and enrichment workflows with SQL and Python, and translating data findings into platform and pipeline improvements.

Location: Greece; hybrid workplace

Company

hirify.global develops data products and platforms that support maritime, commodity, infrastructure, and related industry analysis.

What you will do

  • Own the quality, structure, and ongoing development of company, ownership, management, operator, corporate hierarchy, and vessel particulars datasets.
  • Research and validate vessel data from multiple sources, identifying gaps, anomalies, and root causes of quality issues.
  • Create SQL- and Python-based workflows for recurring data collection, cleansing, enrichment, and validation.
  • Develop dashboards and reports to monitor vessel data quality and provide vessel-level insights.
  • Support the integration of new data sources by scoping, testing, and validating incoming feeds.
  • Collaborate with Product, Engineering, Market Analysts, Data Analysts, and the Vessel Data Manager to improve platforms, pipelines, business rules, and data standards.

Requirements

  • 2–4 years of experience in data analysis, data quality, or data operations.
  • Practical experience with SQL for querying, cleansing, and analysing data.
  • Demonstrable knowledge of vessel data, maritime shipping concepts, and the maritime industry.
  • Experience working with large real-world datasets, particularly vessel particulars.
  • Experience with data validation, monitoring, and quality-improvement techniques.
  • Strong analytical, communication, ownership, prioritisation, and independent problem-solving skills.

Nice to have

  • Experience with data visualisation tools and dashboarding.
  • Practical experience with ETL processes, web scraping, APIs, or data pipelines.
  • Experience using Python for data analysis and automation.
  • Familiarity with maritime data sources.

Culture & Benefits

  • Hybrid work environment in Greece.
  • Collaborative work across Product, Engineering, Market Analysts, and Data teams.
  • Values focused on making things happen, building together, and helping colleagues.

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