Senior IT Business Analyst — Systems, APIs & Data

Optimal Growth Technologies

Johannesburg

On-site

ZAR 700,000 - 1,000,000

Full time

14 days+
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Job summary

Optimal Growth Technologies is seeking an experienced IT Business Analyst to analyse business needs, system requirements and technical specifications for delivering IT solutions. You will work with developers, architects, QA and stakeholders to ensure alignment with both business and technical objectives.

The role emphasizes a strong technical background, experience with APIs, data analysis, SDLC methodologies, and Agile/Waterfall environments to support complex IT projects such as digital

Qualifications

  • Bachelor’s degree in Information Systems, Computer Science, or related field.
  • 8+ years IT Business Analyst experience.
  • Strong technical background with APIs, data analysis, and SDLC knowledge.

Responsibilities

  • Gather and analyse business and technical requirements.
  • Translate needs into functional/non-functional specs.
  • Analyse APIs, integrations, data structures and system interfaces.
  • Document processes, data flows, use cases and user stories.
  • Support sprint planning, backlog grooming, and QA/UAT alignment.
  • Bridge communication between business users and technical teams.
  • Ensure traceability of requirements through the project lifecycle.

Skills

Requirements analysis
Technical analysis
SQL analysis
Data analysis
Agile
Waterfall
APIs
Integrations
SDLC
JIRA
Confluence
MS Visio
Figma
UML modelling

Education

Bachelor's degree in Information Systems/Computer Science

Tools

JIRA
Confluence
MS Visio
Figma
UML modelling tools

Job description

Optimal Growth Technologies is seeking an experienced IT Business Analyst to analyse business needs, system requirements and technical specifications for delivering IT solutions. You will work with developers, architects, QA and stakeholders to ensure alignment with both business and technical objectives.

The role emphasizes a strong technical background, experience with APIs, data analysis, SDLC methodologies, and Agile/Waterfall environments to support complex IT projects such as digital

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