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BI Tech Lead - (Hybrid), Bellville

BI Tech Lead - (Hybrid), Bellville
Description
POSITION: BI Tech Lead - (Hybrid)
LOCATION: Bellville
REPORTING TO: Head of Tech Innovation

1. Role Purpose
  • The BI Tech Lead is responsible for leading the design, development, and evolution of the organization’s data and analytics capability. This role will establish a scalable data foundation, drive the delivery of insights and predictive analytics, and enable both internal reporting and client-facing intelligence through digital platforms.
  • The role combines technical leadership, data architecture, and business insight generation, ensuring that data is transformed into a strategic asset.

2. Key Responsibilities
2.1 Data Architecture & Engineering
  • Design and implement scalable data warehouse architecture.
  • Defining and managing data structures, data models, and data governance standards.
  • Oversee data collection, integration, and transformation across multiple sources.
  • Ensure data quality, consistency, and reliability.

2.2 Data Analytics & Data Science
  • Lead the development of predictive models, analytics, and insight generation.
  • Identify opportunities to leverage data for decision-making and optimization.
  • Translate business requirements into analytical frameworks and outputs.
  • Ensure effective use of data across operational and strategic functions.
 
2.3 Business Intelligence & Reporting
  • Own and manage the organization’s Power BI environment.
  • Design and deliver interactive dashboards and management reports.
  • Replace and modernize legacy Excel-based reporting.
  • Improve accessibility and usability of data across the business.
 
2.4 Cloud & Data Integration
  • Support transition to cloud-based data infrastructure.
  • Implement and manage API / OData-based data integration.
  • Develop scalable data pipelines to support reporting and analytics needs.
 
2.5 Client-Facing Data & Platform Integration
  • Collaborate with product teams to deliver data-driven insights within digital platforms.
  • Enable visibility, analytics, and reporting capabilities for clients.
  • Support the development of features that provide value-added insights to customers.
 
2.6 Team Leadership & Management
  • Lead and manage a team consisting of:
  • Data Scientists (Junior & Intermediate).
  • Data Analyst.
  • Provide technical guidance, mentorship, and development support.
  • Establish best practices, standards, and ways of working.
  • Drive a culture of innovation, curiosity, and continuous improvement.

3. Key Deliverables
  • Implementation of a robust and scalable data warehouse.
  • Delivery of accurate, timely, and actionable business intelligence.
  • Development of predictive models and analytical outputs.
  • Modernization of reporting (transition from Excel to Power BI and cloud-based solutions).
  • Establishment of efficient data pipelines and integration frameworks.
  • Delivery of client-facing insights and analytics capabilities.
  • High performance, aligned, and continuously improving data team.
 
4. Qualifications
  • Bachelor’s degree in:
  • Data Science.
  • Computer Science.
  • Information Systems.
  • Engineering or related field.
  • Relevant certifications (advantageous):
    • Microsoft Certified: Data Analyst / Azure Data Engineer.
    • Cloud certifications (Azure, AWS, or similar).

5. Experience
  • 5+ years’ experience in:
  • Business Intelligence / Data Engineering / Data Analytics.
  • Proven experience in:
  • Designing and implementing data warehouses.
  • Developing data models and analytics solutions.
  • Working with BI tools (Power BI preferred).
  • Experience leading or mentoring a team.
  • Experience working in Agile or product-driven environments (advantageous).
  • Exposure to logistics, supply chain, or operational environments (advantageous).
 
6. Technical Skills
  • Strong SQL and database management skills.
  • Experience with Power BI (dashboarding, data modelling, DAX).
  • Data warehousing and ETL/ELT processes.
  • Understanding of cloud data platforms (Azure, AWS, or similar).
  • Experience with API / OData integrations.
  • Knowledge of data science tools and techniques (Python, R, or similar).
  • Data modelling, data structures, and pipeline design.
 
7. Soft Skills / Competencies
  • Strong analytical and problem-solving ability.
  • Ability to translate complex data into clear business insights.
  • Strong communication skills across technical and non-technical stakeholders.
  • Leadership and team development capability.
  • High attention to detail and quality.
  • Innovative mindset with a focus on challenging the status quo.
  • Ability to work in a fast-paced, evolving environment.
  • Strategic thinking with a hands-on approach.
 
8. Success Measures
  • Adoption and effectiveness of BI and reporting tools.
  • Quality and impact of insights delivered to the business.
  • Efficiency and scalability of data architecture.
  • Reduction in manual / legacy reporting processes.
  • Delivery of data-driven features within digital platforms.
  • Team performance, growth, and alignment.

 
Highlights
  • Company name
    Synergy Jobs (Pty) Ltd
  • Job position
    BI Tech Lead - (Hybrid)
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