data analyst in payments

HireHi

United States

Remote

USD 68,000 - 124,000

Full time

41 hours ago
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Benefits offered by this job

Provident Fund
Annual learning budget
Monthly Wolt allowance
SportsBenefits membership
Possible company car after one year
Office parking
25 Days vacation
Discount card and event tickets
Language classes
International company events

Job summary

HireHi ищет эксперта по данным для анализа платежей и построения дашбордов в BI. Роль предполагает работу с SQL-поиском, Python-аналитикой и взаимодействие с командой в европейском офисе/удаленно.

Кандидат будет подготавливать данные, автоматизировать отчёты и предлагать улучшения для минимизации рисков и оптимизации процессов. График гибкий, удалённая работа по Европе.

Qualifications

  • Уверенные навыки SQL, включая оконные функции и CTE.
  • Программирование на Python для анализа данных.
  • Опыт работы с PostgreSQL и аналитическими базами данных.
  • Опыт построения дашбордов в BI-инструментах.
  • Умение работать в ноутбуках JupyterHub/Jupyter.

Responsibilities

  • Изучать вопросы производительности платежей и объяснять падения коэффициентов одобрения.
  • Подготавливать наборы данных для анализа и валидировать их.
  • Применять статистические методы для выявления закономерностей и трендов.
  • Строить и поддерживать дашборды Superset и кубы Druid.
  • Формировать точные отчёты и автоматизировать повторяющиеся аналитические процессы.
  • Представлять результаты руководству понятным образом.

Skills

SQL-уровни
Python для анализа
PostgreSQL
BI-панели
Git
Jupyter
dbt
Apache Airflow
Cardinality & analytics

Tools

Superset
Druid
dbt
JupyterHub
Airflow

Job description

Описание: payabl. provides businesses with global payments and multi-currency accounts through its financial services platform, payabl.one.

Задачи:
  • Investigate payment performance questions end to end, explain approval rate drops and anomalies across gateways, issuers, and merchants
  • Prepare and validate datasets for analysis, including filtering and handling missing values
  • Apply statistical techniques to identify patterns, relationships, and trends and assess whether changes are real or noise
  • Build and maintain Superset dashboards and Druid data cubes used by stakeholders
  • Prepare accurate, traceable, and timely recurring reports for internal stakeholders and regulatory and scheme reporting requirements
  • Automate recurring analysis and reporting
  • Present evidence-based insights and recommendations clearly to stakeholders
  • Partner with other departments to understand data needs and translate open-ended business questions into answerable analytical questions
Требования:
  • Strong SQL skills, including window functions, CTEs, aggregation logic, and query performance reasoning on large datasets
  • Python for analysis, including pandas, a visualization library such as Matplotlib, Plotly, or Seaborn, and SciPy or an equivalent for statistical work
  • Experience with relational and analytical databases, including PostgreSQL
  • Experience building dashboards in a BI tool
  • Comfort working in notebooks such as JupyterHub or Jupyter for exploratory analysis and reporting
  • Comfort with Git-based workflows, including version control, merge requests, and code review
  • Ability to automate data reports efficiently and accurately
  • Excellent communication skills and ability to present clear, actionable analysis to audiences including senior decision makers
  • Ownership and end-to-end responsibility
  • Будет плюсом: Experience in fintech or payments and understanding of transactional data such as chargebacks, fees, interchange, acquiring, and settlement; regulatory or scheme reporting experience (card schemes, PSD2, AML, or similar); dbt; basic Apache Airflow knowledge; scheduling and automated report generation; event tracking, product events, and product analytics tools; practical use of AI tools in analytical work; machine learning applied to forecasting, anomaly detection, segmentation, fraud, or risk scoring
Условия:

Employment contract in Limassol, Cyprus, or service contract for remote work from Europe. Benefits listed apply to the Cyprus office only; benefits and contract type depend on location and will be discussed in the first interview.

  • Provident Fund after probation
  • Annual learning budget after probation €150
  • Monthly Wolt allowance
  • SportsBenefits membership
  • Possible company car after one year, subject to performance and availability
  • Complimentary office parking
  • 25 Days of vacation, public holidays, and 10 additional sick days
  • Local discount card and event tickets
  • Free Greek language classes twice a week
  • International company events and initiatives

A role-specific technical assessment may include a written exercise, case study, or task to be completed within a specified timeframe

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