Key Purpose

• To build on our current telematics reporting platform and enhance the features running with technical projects from end to end including design and implementation of the solutions. You will also be required to analyse large amounts of data to find key business value and insights.

Areas of responsibility may include but are not limited to

• Develop and manage BI dashboards and reports to monitor our telematics systems’ performance and operational metrics.
• Extract, analyse, and interpret complex engineering, software development, and operational data to support decision-making.
• Collaborate with software developers and DevOps teams to develop and optimize data pipelines and automated reporting.
• Ensure data security, integrity, accuracy, and accessibility for cross-functional teams.
• Run with technical telematics projects from end to end
• Work in a team environment
• Communicate effectively and manage technical telematics supplier teams
• Perform root cause analysis on malfunctioning systems

Skills

• Drive to learn new skills and concepts
• Ability to manage multiple projects simultaneously
• Strong problem-solving skills and data-driven mindset
• Strategic thinking with a keen ability to translate business needs into data insights and actionable plans

Education and Experience

Education:

• Matric
• BSc Engineering qualification
• AWS Certification – Advantageous
• MSc – Advantageous

Minimum Experience:

• 3+ years of experience in business intelligence and data analytics within an engineering or technology driven industry.
• Strong technical project management skills with experience leading data-driven projects.
• Understanding of software engineering principles and best coding practices.
• Proficiency in QuickSight (AWS), Power BI, Tableau, SQL, Python (Pandas, Numpy), or similar data analytics tools.
• Solid knowledge of relational and non-relational databases.
• Hands-on experience with ETL processes, database management, and cloud-based analytics platforms.
• Familiarity with cloud environments such as AWS, Azure, or Google Cloud, including CI/CD integration.
• Experience with version control systems (Git) and automated deployment strategies.
• Familiarity with Unix/Linux – Advantageous
• AI and software disciplines – Advantageous