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.