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Business Intelligence Analyst

Job in Soweto, 1803, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Warehousing, Data Science Manager
Job Description & How to Apply Below

About the Role

Our client is seeking a detail-oriented Business Intelligence Analyst to join their analytics team in Soweto . This role is crucial for transforming raw data into actionable insights that drive strategic business decisions. You will be responsible for developing reports, dashboards, and data models, working closely with various departments to understand their analytical needs. This is an excellent opportunity for a data-driven professional to contribute to business growth and enhance data literacy within the organization.

Key Responsibilities
  • Design, develop, and maintain business intelligence reports and dashboards using tools like Power BI or Tableau.
  • Analyze complex datasets to identify trends, patterns, and key performance indicators (KPIs).
  • Collaborate with stakeholders to gather business requirements and translate them into data solutions.
  • Develop and manage data models to support reporting and analytical needs.
  • Ensure data accuracy, integrity, and consistency across all reporting outputs.
  • Present findings and insights to management and other stakeholders in a clear and concise manner.
Requirements
  • Bachelor's degree in Business Administration, Statistics, Computer Science, or a related field.
  • 2+ years of experience in Business Intelligence or Data Analysis.
  • Proficiency in data visualization tools such as Power BI , Tableau, or Qlik Sense.
  • Strong SQL skills for data extraction and manipulation.
  • Experience with data modeling concepts and ETL processes.
  • Excellent analytical, problem-solving, and communication skills.
Benefits
  • Competitive annual salary and potential for annual bonus.
  • Comprehensive health and retirement benefits.
  • On-site work environment fostering collaboration and team integration.
  • Opportunities for professional development and training in data analytics.
  • Chance to work with diverse datasets and business units.
  • Contribute to data-driven decision-making across the company.
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