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Senior Data Analyst (Finance)

Reads like a Data Engineer role: pipelines and data infrastructure.

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Translate finance business rules into scalable data solutions

  • Build and maintain data pipelines and validation routines

  • Support financial close, reconciliations, controls and regulatory reporting

  • Investigate data inconsistencies and find root causes

  • Implement data quality, monitoring and traceability controls

From the employer’s posting
translating them into scalable data solutions
Build and maintain data pipelines, transformation processes, and validation routines
Support critical Finance processes, including financial close, reconciliations, controls, and regulatory reporting.
Investigate data inconsistencies, identify root causes, and implement solutions
Implement data quality, monitoring, governance, and traceability controls.

What you’ll bring

All qualifications

Core experience

  • Strong hands-on SQL with data analysis and validation experience
  • Python or another programming language for analysis and automation
  • Experience with ETL/ELT pipelines, data integration and BI tools
  • Understanding of financial, accounting or operational processes
  • Knowledge of data quality, governance, security and traceability
Qualification wording
Strong hands-on experience with SQL, combined with practical experience in data analysis, transformation, and validation.
Knowledge of Python or another programming language
Experience working with ETL/ELT pipelines, data integration, and data processing, as well as notebooks, dashboards, or BI tools.
Familiarity with financial, accounting, or operational processes
Understanding of data quality, governance, security, and traceability principles.

About Exadel Inc (Website)

Our customer is a leading financial technology company in Brazil, operating at the intersection of Finance, Technology, and Data.

In the employer’s words · Read in context

Apply at Exadel Inc (Website)

Posting record

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Status in our records
Live
First seen by us
Oct 8, 202626 days ago
Recorded sightings
27
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 26

Similar jobs usually come down between day 6 and day 54.

From 10,782 similar postings that came down. Coming down is not always a hire.

Exadel Inc (Website) is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Databricks
  • Spark
Where the posting names them
- 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.
- 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.
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.
- 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.

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 details

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Pay

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Location & working pattern

São Paulo, Brazil

Intermediate/Upper-Intermediate Work Type: Hybrid Location: São Paulo, Brazil
More source context
- International projects - In-office, hybrid, or remote flexibility - Medical healthcare
Work authorization

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