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N-iX

N-iX

Senior Business Analyst (System Integration)

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Fully RemoteData & AIseniorArgentina

Salary

Not listed

Posted

2h ago

Source

himalayas

Senior Business Systems AnalystSenior IT Business AnalystSenior Business AnalystSenior Business AnalysisLead Business Systems Analyst

Role Overview

The Senior Business Analyst specializing in system integration will support the successful integration of business-critical systems by analyzing processes, reviewing technical documentation, and coordinating between technical and business teams.

What You Will Do

Business process analysis, documentation review, field mapping coordination, middleware logic design, testing & validation, documentation, stakeholder communication.

Why It Might Be a Fit

5+ years of experience as a business analyst, with at least 2 years focused on system integration, excellent analytical, documentation, and communication skills, strong organizational and stakeholder management abilities.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field
  • 5+ years of experience as a business analyst, with at least 2 years focused on system integration
  • Experience working with API specifications, data mappings, and middleware design
  • Familiarity with integration testing frameworks and methodologies
  • Excellent analytical, documentation, and communication skills
  • Strong organizational and stakeholder management abilities

Benefits

  • Flexible working format - remote, office-based or flexible
  • Competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

Before you apply

  • Confirm data stack maturity (warehouse, transformation, BI tooling)
  • Ask whether the role is analyst-leaning or ML/eng-leaning
  • Check data quality ownership — who owns the source-of-truth?

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