Responsibilities
• Data Collection and Cleaning: Gather data from various sources and ensure its quality and integrity.
• Infrastructure: Ensure system/data communication on all network/hardware layers are handled properly
• Data Analysis: Use statistical methods and machine learning algorithms to analyze data and uncover trends, patterns, and insights.
• Model Development: Develop predictive models to support business objectives and improve decision-making processes.
• Data Visualization: Create clear and informative visualizations to communicate findings to stakeholders.
• Collaboration: Work with other team members, including data engineers, analysts, and business stakeholders, to understand data needs and deliver actionable insights.
Qualifications
• University degree (Bachelor or Master) in Computer Science, Electric Engineering, Mathematics, or a related field.
• Ability to work under pressure whilst maintaining accuracy at work.
• Familiar with automation technology (such as hardware, network and interfaces).
• Proficiency in Python, R, or similar languages.
• Strong understanding of statistical methods and their applications.
• Basic knowledge of machine learning algorithms and techniques.
• Experience with tools like Tableau, Power BI, or similar.
• Familiarity with SQL and database management systems.
• Ability to explain complex data findings in a clear and concise manner.
• Excellent communication and influencing skills, including spoken and written English.
• Proactive approach with the ability to work independently and flexibly, managing and prioritizing own workload.
• Strong problem-solving skills, attention to detail, and the ability to work well in a team environment.