Senior Data Analyst (Finance)

Exadel
São Paulo, Brazil
HybridCareer-pivot friendly

Who this role is best for

Geared toward candidates with finance domain expertise and a strong background in data pipeline development, comfortable with translating business needs into technical solutions.

Best fit for

  • Candidates with finance domain knowledge and experience in data pipeline construction
    — “operating at the intersection of Finance, Technology, and Data”
  • Individuals who can bridge technical and business stakeholders with clear documentation
    — “Document business rules, workflows, processes, and technical solutions to ensure knowledge is clearly maintained and shared.”
  • Professionals with a track record in data quality, validation, and governance
    — “Implement data quality, monitoring, governance, and traceability controls.”

Things to consider

  • English proficiency is a key requirement for communication with global stakeholders
    — “English level Intermediate/Upper-Intermediate”

How to stand out

  • Highlight experience in building data pipelines and improving process efficiency
    — “Build and maintain data pipelines, transformation processes, and validation routines, ensuring reliable and traceable data.”
  • Showcase ability to translate financial requirements into technical logic
    — “Strong ability to translate business rules and financial or operational requirements into technical logic and data solutions.”
  • Demonstrate collaboration across Finance, Engineering, Product, and Audit teams
    — “Collaborate closely with Finance, Engineering, Product, Data, Risk, and Audit teams.”
  • Emphasize hands-on SQL and Python experience with automation and analysis
    — “Strong hands-on experience with SQL, combined with practical experience in data analysis, transformation, and validation.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • scalable data solutions
  • reliable data pipelines
  • efficient data processes
Typical background
Strong hands-on experience with SQL, combined with practical experience in data analysis, transformation, and validation

Skills & requirements

Required

SQLData AnalysisEtl/elt PipelinesData TransformationData ValidationData Quality Controls

Preferred

PythonDatabricksApache SparkCloud PlatformsERP SystemsFinancial Processes

Stack & domain

SQLPythonEtl/elt PipelinesData IntegrationData ProcessingNotebooksDashboardsBI ToolsData QualityData GovernanceData SecurityData TraceabilityIFRSFinancial Close ProcessesRegulatory ReportingDatabricksApache SparkCloud PlatformsApisData LakesERP SystemsGeneral LedgersSubledgersAutomated TestingCI/CDData Pipeline MonitoringCommunicationProblem-solvingStakeholder ManagementFinanceData AnalysisData TransformationData ValidationData PipelinesFinancial CloseReconciliationsControls

About the role

Original posting from Exadel via Greenhouse

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our customer is a leading financial technology company in Brazil, operating at the intersection of Finance, Technology, and Data. The company leverages technology and data-driven solutions to build scalable financial operations and improve decision-making across the organization.

What You’ll Do

Partner with Finance teams to understand business processes, rules, requirements, and operational needs, translating them into scalable data solutions.

Develop SQL queries, analyses, notebooks, dashboards, and automations to support Finance activities and decision-making.

Build and maintain data pipelines, transformation processes, and validation routines, ensuring reliable and traceable data.

Support critical Finance processes, including financial close, reconciliations, controls, and regulatory reporting.

Investigate data inconsistencies, identify root causes, and implement solutions to improve data reliability and process efficiency.

Implement data quality, monitoring, governance, and traceability controls.

Document business rules, workflows, processes, and technical solutions to ensure knowledge is clearly maintained and shared.

Collaborate closely with Finance, Engineering, Product, Data, Risk, and Audit teams.

Manage priorities and drive deliveries end-to-end, from understanding the business need through implementation and continuous improvement.

What You Bring

Strong hands-on experience with SQL, combined with practical experience in data analysis, transformation, and validation.

Knowledge of Python or another programming language, with the ability to develop analytical solutions and automate processes.

Experience working with ETL/ELT pipelines, data integration, and data processing, as well as notebooks, dashboards, or BI tools.

Strong ability to translate business rules and financial or operational requirements into technical logic and data solutions.

Understanding of data quality, governance, security, and traceability principles.

Familiarity with financial, accounting, or operational processes and the ability to collaborate effectively with both technical and business stakeholders.

Strong analytical, problem-solving, communication, and stakeholder management skills.

Nice to have

Experience in Controllership, Accounting, FP&A, Tax, Treasury, or Regulatory Reporting.

Knowledge of IFRS, financial close processes, and regulatory reporting.

Experience with Databricks, Apache Spark, cloud platforms, APIs, or data lakes.

Knowledge of ERP systems, general ledgers, or subledgers.

Experience working in regulated and audit-driven environments.

Familiarity with automated testing, CI/CD, and data pipeline monitoring.

English level

Intermediate/Upper-Intermediate

Work Type: Hybrid

Location: São Paulo, Brazil

Legal & Hiring Information

Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more

Reasonable accommodations are available to enable individuals with disabilities to perform essential functions

Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Compensation details are shared with candidates at the early stage of the recruitment process.

The offer is not binding until a signed contract is in place.

Your Benefits at Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

International projects

In-office, hybrid, or remote flexibility

Medical healthcare

Recognition program

Ongoing learning & reimbursement 

Well-being program

Team events & local benefits 

Sports compensation 

Referral bonuses 

Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Source: Exadel careers (Greenhouse)

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