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10 часов назад

Data Analyst (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analyst (Fintech): Developing statistics, reports, dashboards, and self-service analytics solutions from market and business data with an accent on stakeholder insights, data quality, and operational controls. Focus on automating analytics processes, supporting billing activities, and applying AI-powered tools to improve productivity and deliver innovative services.

Location: Porto, Portugal

Company

hirify.global is a pan-European exchange providing trading, clearing, listing, and market data services across financial markets.

What you will do

  • Deliver statistics, reports, analyses, and bespoke studies supporting business decisions.
  • Transform market and business data into actionable insights and recommendations for stakeholders.
  • Develop, maintain, and improve dashboards, reporting solutions, and self-service analytics tools.
  • Support billing and other business-critical processes with accurate controls and auditability.
  • Work with large and diverse datasets and explore AI-powered and emerging technologies for analytics services.
  • Collaborate with analysts and business teams to identify opportunities for data-driven value creation.

Requirements

  • 3 to 5 years of experience in data analytics, business intelligence, or a related field.
  • Proven experience partnering directly with business stakeholders and supporting decision-making through data-driven insights.
  • Experience working with financial data, ideally within financial services, capital markets, or a comparable data-intensive environment.
  • Ability to translate business questions into analytical approaches and communicate findings to technical and non-technical audiences.
  • Experience designing, developing, or maintaining reporting solutions, dashboards, and self-service analytics tools.
  • Experience working with large and diverse datasets while ensuring high data quality and reliability.
  • Strong hands-on experience with SQL, Python, and the Pandas data analytics library, including Jupyter Notebooks or Visual Studio.
  • Excellent written and spoken English.
  • Analytical, solution-oriented, organized, proactive, detail-oriented, and accountable approach with strong communication and prioritization skills.

Nice to have

  • Dataiku.
  • Power BI.
  • AI tools.

Culture & Benefits

  • International and diverse environment collaborating with more than 2,200 talents across Europe, the USA, and Asia.
  • Collaborative and inclusive workplace supporting professional growth, flexible career paths, and learning and development opportunities.
  • Agile, innovative, and dynamic environment.
  • Wellbeing program, equal opportunities, and an environment open to diversity.

Hiring process

  • Submit a CV in English.

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