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Nitro

Senior Data Analyst, FP&A

Nitro

. Structure and standardize databases, financial models, KPIs, and business rules across the Chemical and Agribusiness operations.

Posted 10/16/2026full-timeSão Paulo • BrazilSeniorWebsite

Tech Stack

Tools & technologies
ERPPythonSQL

About the role

Key responsibilities & impact
  • Structure and standardize databases, financial models, KPIs, and business rules across the Chemical and Agribusiness operations.
  • Develop and improve data extraction, processing, consolidation, and updating routines.
  • Establish and perform validations, controls, and reconciliations across databases and data sources.
  • Monitor, update, and validate Artificial Intelligence models used by the department.
  • Document processes, business rules, calculation criteria, data structures, and information flows.
  • Act as a liaison between systems, financial databases, and business data sources for the Chemical and Agribusiness operations.
  • Ensure structured and reliable databases for budgeting, forecasting, results analysis, and management reporting.
  • Identify opportunities to simplify and automate processes and to enhance data processes and tools.
  • Availability for occasional travel.

Requirements

What you’ll need
  • Bachelor’s degree in Business Administration, Accounting, Economics, Engineering, Information Technology, Data Science, or a related field.
  • Solid experience in data analysis and structuring, preferably in FP&A, Finance, Controllership, or related areas.
  • Advanced Excel skills and experience with data processing and transformation tools, especially Power Query.
  • Experience with Power BI, including data modeling, KPI creation, and DAX.
  • Experience integrating databases from different systems, performing validations and reconciliations, and implementing data quality controls.
  • Ability to document processes, business rules, and data flows.
  • Knowledge of budgeting, forecasting, actuals versus plan, and key financial KPIs.
  • Knowledge of Python for automation and data processing.
  • Knowledge of SQL for data extraction, manipulation, joining, and validation.
  • Experience with Artificial Intelligence models applied to analytical processes, including monitoring, validation, and updating.
  • Experience with ERP systems, financial planning tools, and systems integration.
  • Experience with data standardization, governance, and financial automation projects.
  • Knowledge of the Chemical and Agribusiness sectors.

Benefits

Comp & perks
  • This position is also open to candidates with disabilities.
  • Professional training and development.
  • Career growth opportunities.
  • Investment in professional training and development.
  • Inspiring and dynamic work environment.