Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли чёткий фокус на качестве данных, заметная зона ответственности и возможность развивать покрытие новых классов активов. Но зарплата не указана, а уровень Senior сочетается с требованием всего 2–4 лет опыта.
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Зарплата не указанаНеобычный уровеньСовременный стекПонятная зона ответственностиУзкая специализация
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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