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5 часов назад

Senior Analytics & Intelligence Analyst (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
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
Senior Analytics & Intelligence Analyst (AI/Financial Analytics): Building and maintaining financial data products, including a Single Source of Truth, semantic layers, dashboards, automations, and AI-powered analytical experiences with an accent on SQL, dbt, GCP/BigQuery, and data governance. Focus on designing dimensional data models, supporting financial closing, enabling self-service analytics, and validating AI-assisted development outputs.

Location: Curitiba, Brazil

Company

hirify.global is a global digital payments company connecting international businesses with consumers in emerging markets across more than 29 countries.

What you will do

  • Own analytical products end to end, including their scope, evolution, quality, and long-term sustainability.
  • Develop and evolve the financial Single Source of Truth and Corporate semantic layer using dbt on GCP and BigQuery.
  • Create facts, dimensions, marts, automations, data apps, interactive dashboards, and AI-powered analytical experiences.
  • Support Finance during the monthly financial closing process by ensuring reliable and consistent financial data.
  • Enable self-service analytics through reusable tools, best practices, semantic structures, and governance standards.
  • Promote documentation, metadata, lineage, data quality, access control, and technical knowledge sharing within the team.

Requirements

  • Advanced hands-on experience with SQL and dbt, including dimensional modeling, incremental processing, testing, and documentation.
  • Experience with GCP, particularly BigQuery and Cloud Storage, and understanding of data warehouse and lakehouse concepts.
  • Ability to use Python or another programming language together with Git, code reviews, and automated testing.
  • Hands-on experience with AI-assisted development and the ability to critically validate generated outputs.
  • Knowledge of metadata management, data quality, lineage, documentation, and access control.
  • Comfortable using English in daily documentation, meetings, and communication with global teams.

Nice to have

  • Experience with financial data such as gross profit, P&L, budgeting, treasury, FX, or reconciliation.
  • Experience building data apps, working with semantic layers or MCP, or using specification-driven development.
  • Experience treating analytics solutions as products and evolving them based on user needs, impact, quality, and scalability.

Culture & Benefits

  • Annual performance bonus based on company results.
  • Monthly meal allowance and medical and dental plans with dependent coverage.
  • Financial assistance for undergraduate, graduate, and MBA programs.
  • Budget for courses, certifications, workshops, and language classes.
  • Semi-flexible working hours, an additional birthday day off, and physical and mental well-being programs.

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