5 часов назад
Senior Analytics & Intelligence Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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