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Business Intelligence & Analytics Analyst

Job in Kempton Park, 1618, South Africa
Listing for: Synergy Jobs (Pty) Ltd
Full Time position
Listed on 2026-08-09
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Warehousing
Job Description & How to Apply Below
Location: Kempton Park

Business Intelligence & Analytics Analyst

Kempton Park, Gauteng

Position:
Business Intelligence & Analytics Analyst

Location:

Kempton Park

PURPOSE OF THIS ROLE

The Business Intelligence & Analytics Analyst will be responsible for transforming data into meaningful business insights that enable informed decision-making across the company and its subsidiaries. The successful incumbent will develop and maintain business intelligence solutions, dashboards and reporting platforms, analyses trends and business performance, and partner with leaders across Finance, Sales, Supply Chain, Operations, Procurement, HR and Executive Management to improve business performance through data-driven decision‑making.

KEY

PERFORMANCE AREAS
  • Develop, maintain and continuously improve business intelligence dashboards, reports and KPI scorecards using Power BI to provide accurate, timely and actionable information for operational, tactical and strategic decision-making across the company
  • Analyze business data to identify trends, opportunities, risks and performance drivers across sales, finance, operations, supply chain, manufacturing, procurement, inventory and human resources, providing management with meaningful insights and recommendations.
  • Ensure the integrity, accuracy, governance and consistency of business data by maintaining data quality standards, validating information and integrating data from multiple business systems, including ERP, CRM, HRIS and financial platforms.
  • Partner with business leaders to understand reporting requirements, translate business needs into analytical solutions, develop customized dashboards and support strategic planning and continuous business improvement initiatives.
  • Design and maintain efficient data integration and automation processes that streamline reporting, reduce manual effort and improve the accessibility and reliability of business information.
  • Monitor and report on key business performance indicators, enabling management to measure organizational performance against strategic objectives and identify opportunities for operational improvement.
  • Drive the continuous enhancement of the organization’s business intelligence capability by improving reporting efficiency, adopting new analytical tools and technologies, promoting data‑driven decision‑making and increasing the maturity of business analytics across the Group
SKILLS & KNOWLEDGE Technical Competencies
  • Advanced Power BI
  • SQL
  • Excel (Advanced)
  • Data Modelling
  • DAX
  • Power Query
  • Data visualization
  • Business analytics
  • Dashboard development
  • ETL concepts
  • Data quality management
Advantageous:
  • Python
  • Azure Data Factory
  • Microsoft Fabric
  • SSIS
  • Power Automate
  • Azure SQL
  • Cloud platforms (Azure preferred)
  • AI-assisted analytics
  • Predictive analytics
Behavioral Competencies
  • Strong analytical thinking
  • Commercial awareness
  • Business acumen
  • Problem solving
  • Attention to detail
  • Strategic thinking
  • Critical thinking
  • Curiosity
  • Initiative
  • Collaboration
  • Planning and organizing
  • Adaptability
  • Integrity
  • Professional judgement
  • Continuous learning mindset
Qualifications Bachelor's Degree in:
  • Data Analytics
  • Computer Science
  • Information Systems
  • Statistics
  • Business Analytics
  • Industrial Engineering
  • Mathematics
  • Finance (with strong analytics experience)
  • A postgraduate qualification in Data Analytics or Business Intelligence will be advantageous.
Experience
  • 3–5 years' experience in Business Intelligence or Data Analytics.
  • Experience developing Power BI dashboards.
  • Experience working with SQL databases.
  • Experience analyzing business performance.
  • Experience supporting business leaders through data analytics.
  • Experience in agriculture, manufacturing or FMCG will be advantageous.
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