6 дней назад
Senior Data Analyst (Finance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Finance) (SQL/Python): Building scalable data solutions, pipelines, dashboards, and automations for financial operations with an accent on data quality, validation, governance, and traceability. Focus on translating finance processes into technical logic, investigating data inconsistencies, and supporting financial close, reconciliations, controls, and regulatory reporting.
Location: Hybrid in São Paulo, Brazil
Company
is an AI-first global technology company delivering engineering, AI, and digital transformation solutions for enterprise clients.
What you will do
- Partner with Finance teams to translate business processes, rules, and requirements into scalable data solutions.
- Develop SQL queries, analyses, notebooks, dashboards, and automations for Finance decision-making.
- Build and maintain data pipelines, transformations, validation routines, and traceability controls.
- Support financial close, reconciliations, controls, and regulatory reporting.
- Investigate data inconsistencies, identify root causes, and improve data reliability and process efficiency.
- Collaborate with Finance, Engineering, Product, Data, Risk, and Audit teams while driving deliveries end-to-end.
Requirements
- Strong hands-on experience with SQL, data analysis, transformation, and validation.
- Knowledge of Python or another programming language for analytical solutions and process automation.
- Experience with ETL/ELT pipelines, data integration, data processing, notebooks, dashboards, or BI tools.
- Ability to translate financial and operational requirements into technical logic and data solutions.
- Understanding of data quality, governance, security, and traceability principles.
- Intermediate to Upper-Intermediate English and strong analytical, communication, problem-solving, and stakeholder management skills.
Nice to have
- Experience in Controllership, Accounting, FP&A, Tax, Treasury, or Regulatory Reporting.
- Knowledge of IFRS, financial close processes, regulatory reporting, ERP systems, general ledgers, or subledgers.
- Experience with Databricks, Apache Spark, cloud platforms, APIs, data lakes, automated testing, CI/CD, or pipeline monitoring.
- Experience in regulated and audit-driven environments.
Culture & Benefits
- International projects and collaboration across enterprise technology initiatives.
- Hybrid, in-office, or remote flexibility depending on location and contract type.
- Medical healthcare, well-being support, learning reimbursement, and sports compensation.
- Team events, recognition programs, referral bonuses, and equipment provision.
- Culture centered on trust, respect, open dialogue, creative freedom, and mentorship.
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