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3 часа назад

Data Analyst (Payments)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Poland
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 (Payments): Designing and delivering BI, reporting, and analytical solutions for Visa's internal clients with an accent on large-scale data processing, business intelligence, and stakeholder-driven insights. Focus on extracting data with SQL, automating analysis with Python, and translating complex payment and business data into measurable recommendations.

Location: Hybrid in Warsaw, Poland; requires attendance in the Warsaw office 3 days per week.

Company

hirify.global provides payment technology that connects consumers, merchants, financial institutions, and governments across more than 200 countries and territories.

What you will do

  • Extract, clean, manipulate, analyze, and visualize large volumes of data from multiple sources.
  • Design, develop, and implement BI, reporting, and analytical solutions for internal leadership and business units.
  • Maintain regular reporting and deliver bespoke analysis highlighting business performance and growth opportunities.
  • Translate complex analytics into actionable recommendations through visualization and storytelling.
  • Partner with stakeholders to understand business requirements, manage requests, and support data-driven decision-making.
  • Improve analytical methodologies, provide quality assurance for complex projects, and automate repeatable analysis.

Requirements

  • At least 4 years of experience applying analytical and statistical solutions to business problems.
  • Degree or equivalent experience in statistics, mathematics, operational research, computer science, economics, engineering, or a related quantitative field.
  • Understanding of payments and banking, data intelligence, and business intelligence.
  • Mandatory high proficiency in SQL for extracting data from multiple sources.
  • Strong Excel and BI tools skills, plus intermediate Python for ETL, analysis, and automation.
  • Experience with extremely large datasets, datamarts, data relationships, data processing, and Big Data tools such as Hadoop, Spark, or Hive.
  • Full professional proficiency in English.

Nice to have

  • Knowledge of payment network transactional data.

Culture & Benefits

  • Collaborative work with the CEE Internal Data & Analytics team, leadership, data science, and other business functions.
  • Opportunity to work on data solutions supporting strategic decisions and measurable business performance.
  • Full-time employment in a hybrid Warsaw-based role.

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