Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткие задачи, цели на первые шесть месяцев и работа напрямую с руководством делают вакансию привлекательной, хотя роль объединяет управление данными, командой и клиентскими проектами.
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Широкая зона ответственностиАктуальные технологииФинансовые технологииПонятный стартБюджет на обучение
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data & Anaytisis Lead (Data Modeling/ETL): Leading a four-person data analysis and quality assurance team while designing data models, automating ETL pipelines, and managing data projects for banks and large companies with an accent on data quality, entity matching, and regulatory compliance. Focus on evolving relational and company entity-relationship models, reducing manual pipeline work, implementing quality metrics, and coordinating client delivery and team development.
Location: Athens, Attica, Greece; hybrid working
Company
Linked Business, a member of hirify.global, transforms public and corporate data into business intelligence products for banks and large companies.
What you will do
Lead the existing Data & Analysis team of four data analysts, QA specialists, and business consultants.
Design and evolve relational data models and company entity-relationship models as new products are introduced.
Organize and automate ETL pipelines with the CTO to reduce manual work.
Establish data quality checks, metrics, human-in-the-loop processes, and algorithm testing for entity matching.
Manage client projects from requirements analysis through delivery and ongoing support, primarily for banks and large companies.
Coordinate pre-sales and post-sales support, evaluate new data sources and analytical methods, and document models, processes, and team knowledge.
Requirements
4–7 years of experience in data analysis, data engineering, or business intelligence, including 1–2 years of team or project leadership experience.
Strong knowledge of data modeling and SQL, with experience designing and operating ETL processes.
Hands-on experience with data quality checks, metrics, and correction processes.
Proven project and client management experience, including planning, risk management, and stakeholder communication.
Confidence explaining data-related concepts to non-technical audiences in both Greek and English.
Nice to have
Python for data analysis or automation and experience with BI tools.
Experience with public registries and open data, KYC/AML, non-performing loans, or banking projects.
Experience with entity matching, graph data, or team training.
Culture & Benefits
Hybrid working in Athens.
Company car and meal allowance card.
Annual performance-linked bonus.
Dedicated training budget.
Genuine responsibility with direct access to senior management.
Hiring process
No specific hiring stages or application instructions are provided.
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