Job Responsibilities:
- Device Monitoring and Troubleshooting: Monitor, analyze, and troubleshoot bus and rail Automated Fare Collection (AFC) devices by reviewing device logs and data.
- Data Interpretation and Reporting: Use statistical techniques to interpret data, analyze results, and provide ongoing reports.
- Complex Data Handling: Identify, analyze, and interpret trends or patterns in complex data sets.
- Data Visualization: Create visual representations of data to derive insightful information.
- Predictive Maintenance: Analyze trends to detect system degradation and suggest predictive maintenance schedules.
- Clear Communication: Present findings clearly and translate data into understandable documents.
- Collaboration: Work with management to prioritize business and information needs.
- Strategic Development: Develop strategies to optimize statistical efficiency and quality.
- Process Improvement: Identify and define new opportunities for process improvement.
Requirements:
- Technical Skills: Expertise in data models, database design, data mining, clustering, and segmentation techniques.
- Tools and Programming: Proficiency with reporting packages (e.g., Cognos), databases (e.g., SQL), and programming languages (e.g., Python/R and ETL frameworks).
- Python Libraries: Experience with Python libraries such as Pandas, Numpy, Scikit-learn, Dash, Bokeh, and Matplotlib.
- Statistical Knowledge: Strong understanding of statistics and experience with statistical packages (e.g., Excel, SPSS, SAS, Python).
- Data Visualization: Ability to create dashboards using Tableau and PowerBI. Hands-on experience with Tableau Server (publishing workbooks and administration settings).
- Additional Skills: Knowledge of Java, C/C++, and RTOS QNX is a plus.
- Experience: Proven experience as a data analyst or business data analyst is preferred, but fresh graduates with relevant expertise and interests are also encouraged to apply.
- Education: Degree in Computer Science, Electrical/Electronic Engineering, Information Management, or Statistics.
