BI Tech Lead - (Hybrid)

Introduction

We are excited to present an excellent job opportunity for the position of BI Tech Lead - (Hybrid) based in Bellville. This role is for one of our esteemed clients, offering a rewarding career path. Synergy Jobs is your premier talent acquisition partner in the MS Dynamics ERP space. We specialize in connecting top talent with outstanding opportunities, helping skilled professionals find employers who value growth and excellence. Discover your potential and apply today through Synergy Jobs. Job Spec

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.

Salary

R 850000 - R 1400000