Key Purpose<\/p>\n
\tTo 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.<\/p>\n
Areas of responsibility may include but are not limited to<\/p>\n
\tDevelop and manage BI dashboards and reports to monitor our telematics systems\u2019 performance and operational metrics.
\n\tExtract, analyse, and interpret complex engineering, software development, and operational data to support decision-making.
\n\tCollaborate with software developers and DevOps teams to develop and optimize data pipelines and automated reporting.
\n\tEnsure data security, integrity, accuracy, and accessibility for cross-functional teams.
\n\tRun with technical telematics projects from end to end
\n\tWork in a team environment
\n\tCommunicate effectively and manage technical telematics supplier teams
\n\tPerform root cause analysis on malfunctioning systems<\/p>\n
Skills<\/p>\n
\tDrive to learn new skills and concepts
\n\tAbility to manage multiple projects simultaneously
\n\tStrong problem-solving skills and data-driven mindset
\n\tStrategic thinking with a keen ability to translate business needs into data insights and actionable plans<\/p>\n
Education and Experience<\/p>\n
Education:<\/p>\n
\tMatric
\n\tBSc Engineering qualification
\n\tAWS Certification – Advantageous
\n\tMSc – Advantageous<\/p>\n
Minimum Experience: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 <\/p>\n
\t3+ years of experience in business intelligence and data analytics within an engineering or technology driven industry.
\n\tStrong technical project management skills with experience leading data-driven projects.
\n\tUnderstanding of software engineering principles and best coding practices.
\n\tProficiency in QuickSight (AWS), Power BI, Tableau, SQL, Python (Pandas, Numpy), or similar data analytics tools.
\n\tSolid knowledge of relational and non-relational databases.
\n\tHands-on experience with ETL processes, database management, and cloud-based analytics platforms.
\n\tFamiliarity with cloud environments such as AWS, Azure, or Google Cloud, including CI\/CD integration.
\n\tExperience with version control systems (Git) and automated deployment strategies.
\n\tFamiliarity with Unix\/Linux – Advantageous
\n\tAI and software disciplines – Advantageous<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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