Job Responsibilities

1. Data Management and Analysis: Collect, sanitize, monitor, and analyze data from bus and rail AFC devices, identifying trends and detecting anomalies.

2. Data Interpretation and Reporting: Apply statistical techniques to analyze data, provide ongoing reports, and visualize insights to inform business decisions.

3. Complex Data Analysis: Identify, analyze, and interpret trends and patterns in complex data sets to inform predictive maintenance and system optimization.

4. Data Visualization and Communication: Present findings in a clear and concise manner, translating complex data insights into actionable recommendations.

5. Collaboration and Prioritization: Work with management to prioritize business needs, develop strategies for process improvement, and identify opportunities for optimization.

6. Process Improvement: Continuously seek out new opportunities for process improvement, leveraging data-driven insights to drive business outcomes.

Technical Requirements:

1. Data Modeling and Analysis: Expertise in data models, data mining, clustering, and segmentation techniques.

2. Technical Skills:

- Proficiency in reporting packages (e.g., Cognos) and databases (e.g., SQL).

- Programming skills in Python and experience with ETL frameworks.

- Familiarity with Python libraries (Pandas, NumPy, Scikit-learn, Python Dash, StreamLit).

- Good understanding of cloud concepts and cloud deployments

- Familiarity with automation tools (e.g. power automate, N8N etc.)

- Frontend Development: Creating the client-side of applications, focusing on layout, design, and user experience.

3. Data Visualization: Expertise in creating dashboards in Tableau and PowerBI, with hands-on experience in Tableau Server (publishing workbooks, administration settings).

4. Additional Skills:

- Knowledge of Java is a plus

- Concepts and appliation of LLM & GenAI

Experience and Education:

1. Experience: 2-3 years of relevant experience as a Full Stack Developer, Data Analyst or Business Data Analyst. Fresh graduates with relevant expertise and interest will also be considered.

2. Education: Degree in Computer Science, Electrical/Electronic Engineering, Information Management, Statistics, or a related field.