Data Science BI Lead

Job Description

Job Design: BI Tech Lead Data & Analytics

1. Role Purpose

The BI Tech Lead is responsible for leading the design development and evolution of the organisations 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 a scalable data warehouse architecture
• Define and manage 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 optimisation
• 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 organisations Power BI environment
• Design and deliver interactive dashboards and management reports
• Replace and modernise 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
• Modernisation 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-performing aligned and continuously improving data team

4. Qualifications

• Bachelors 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