ExecutivePlacements.com
BUSINESS INTELLIGENCE MANAGER
2 months ago
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Important information
Contract type:
Permanent
Location:
Kempton Park, South Africa
Work mode:
Onsite
Published on:
31 August 2026
What they need
Recruiter: Ad Talent
Job Ref: 727023
Date posted: Friday, August 21, 2026
Location: Kempton Park, South Africa
SUMMARY: POSITION INFO: Who we are Our client is a large, established organisation operating within a dynamic, customer-focused environment where data plays a critical role in business performance and strategic decision-making. They are looking for an experienced Business Intelligence Manager to join their team and lead the development of data-driven insights, analytics capabilities and reporting solutions that support business growth and enable informed decision-making across the organisation. This is a senior opportunity for a data and analytics professional who can combine strategic thinking with strong technical expertise and hands-on leadership. What are we looking for? We are looking for a commercially minded Business Intelligence Manager with strong experience across data analytics, business intelligence, data modelling and advanced analytics. You will lead a small team of data analysts while partnering closely with senior stakeholders and business units to turn complex data into meaningful, actionable insights. The ideal candidate is highly analytical, naturally curious about how data flows through systems and passionate about data quality, innovation and using technology to solve business problems. What will you do? Develop and implement data strategies that generate meaningful customer and business insights Partner with multiple business units to identify opportunities for growth and improved performance Oversee recurring business reporting, ensuring accuracy, consistency and data integrity Design and implement data models and analytical solutions to extract valuable insights from complex datasets Lead, mentor and manage a small team of data analysts Drive data and analytics projects from concept through to implementation Promote the adoption of advanced analytics, including machine learning and predictive modelling Enhance data visualisation and reporting capabilities to make insights more accessible and actionable Provide data-driven intelligence to support monthly, quarterly and annual business reviews and planning processes Identify opportunities to improve data quality and investigate the root causes of data-related issues Stay abreast of emerging data, analytics, AI and technology trends and identify opportunities for innovation Manage relationships with external data, analytics and technology partners Oversee website analytics and reporting to provide actionable insights across the organisation Support the transition towards AI-powered models and solutions Drive the integration of legacy systems with modern analytics platforms Work closely with senior management to translate complex data into clear business recommendations Act as a strategic data and analytics partner to the broader business What do you need? Bachelor's or Master's degree in Computer Science, Data Science, Statistics or a related field 7–10 years' experience within data, analytics or business intelligence At least 3 years' experience in a managerial or team leadership capacity Strong technical proficiency in SQL, Python, Tableau, Power BI and QuickSight Proven experience in data analysis, data modelling and data warehousing Strong understanding of data flows, data quality and data integrity Experience working with complex datasets and identifying root causes of data issues Exposure to machine learning, predictive modelling and/or advanced analytics Strong analytical, logical reasoning and problem-solving abilities Excellent communication skills, with the ability to translate technical insights into clear business recommendations Proven ability to lead and develop a high-performing analytics team Strong stakeholder management and relationship-building skills A goal-oriented mindset, strong work ethic and a genuine curiosity about data A proactive and innovative approach to leveraging technology and analytics to solve business challenges
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