pythonsqldata analysisexcelproject managementdata qualitylean six sigmainvestment data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€30к-40к/год
€34к€44кмедиана€74к
По похожим ролям (25) ~ €44к/год
На СНГ рынке: $2.9к/мес ($1.4к - $4.3к)
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В Company hidden обязанности в сфере инвестиционных данных описаны понятно, а работа может помочь развить экспертизу в финансовых данных и улучшении процессов; график с четырьмя днями в офисе стоит учитывать при выборе.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Research Analyst (Korean Speaker) (Investment Data): Collecting, processing, and validating managed investment data across global markets with an accent on data quality, completeness, timeliness, and fund-company relationships. Focus on resolving complex data issues, improving analytical tools and processes, and translating client requests into detailed specifications and user stories.
Location: Madrid, Spain; hybrid work with four days in-office each week in most locations
Base salary: EUR 30,000–40,000 annually; 5% annual bonus target
Company
hirify.global provides investment data and related financial information services.
What you will do
Collect and process managed investment data using internal collection systems, ensuring completeness, accuracy, and timely delivery.
Collaborate with global data teams, local business representatives, internal clients, and fund companies.
Manage data coverage, acquisition channels, provider relationships, escalations, and production deadlines.
Evaluate procedures, improve analytical tools, and implement process improvement projects.
Track and resolve complex data issues using project management methodologies such as Lean Six Sigma.
Translate internal client requests into written specifications and user stories, and document client use cases for new functionality.
Requirements
Bachelor’s degree or equivalent.
Proficient written and spoken English and Korean are mandatory.
Ability to collaborate inclusively with team members from diverse backgrounds.
Client-centric approach and strong ownership of data issues through timely follow-up and resolution.
Solid understanding of the financial industry and interest in investment data.
Excellent organizational and time-management skills, including the ability to handle high data volumes and strict deadlines.
Proficiency in Microsoft Excel.
Nice to have
Experience with data methodology, data quality, and operational or performance data processes.
Previous project management experience.
SQL and Python skills.
Culture & Benefits
Hybrid environment designed for regular in-person collaboration with global colleagues.
Four days in-office each week in most locations.
Tools and resources to collaborate with global colleagues.
Additional benefits are available to support flexibility as needs change.
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