Data Analyst

MSI GLOBAL PRIVATE LIMITED; Singapore; On-site; SGD 45,000 - 60,000; Full time

Job summary

A technology company in Singapore is searching for a skilled Data Analyst to manage and analyze data, creating visual reports to support business decisions. Candidates should have experience in data management, a strong understanding of Python and SQL, and proficiency in data visualization tools like Tableau and PowerBI. A degree in a relevant field and 2-3 years in a similar role are preferred, although fresh graduates with relevant skills are also welcomed. Please indicate your expected salary in the application.

Qualifications

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

Responsibilities

• Collect, sanitize, monitor, and analyze data from bus and rail AFC devices.
• Apply statistical techniques to analyze data and visualize insights.
• Identify, analyze, and interpret trends in complex data sets.
• Present findings clearly, translating data insights into recommendations.
• Collaborate with management to prioritize business needs.
• Continuously seek out opportunities for process improvement.

Skills

Data Management and Analysis

Data Visualization

Collaboration

Process Improvement

Python

SQL

Tableau

PowerBI

Frontend Development

Education

Degree in Computer Science, Electrical/Electronic Engineering, Information Management, Statistics, or related field

Tools

Cognos

Python Libraries (Pandas, NumPy, Scikit-learn, Python Dash, StreamLit)

Tableau Server

Job description

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 application 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.

Notes: Please indicate your expected salary, and reasons for leaving from your past employments.