Junior Engineer

PROXIMA BETA PTE. LIMITED; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading data solutions company in Singapore is seeking a data analyst to clean and analyze large datasets, create dashboards, and collaborate with teams to deliver data solutions. Candidates should have a Master's degree in a relevant field and proficiency in Python, SQL, and data visualization tools. Strong problem-solving and communication skills are essential. This role offers an opportunity to work in a dynamic environment with a focus on data-driven insights.

Qualifications

• Recently completed (or soon completing) a Master’s in Data Science, Computer Science, Statistics, or related field.
• Strong foundation in statistics and machine learning.
• Proficiency in Python or R, and SQL.
• Experience with data visualization tools (e.g., Matplotlib, Tableau).
• Excellent problem-solving and communication skills.

Responsibilities

• Clean, explore, and analyze large datasets to generate actionable insights.
• Create dashboards and reports to communicate findings to stakeholders.
• Collaborate with cross-functional teams to define problems and deliver data solutions.

Skills

Data analysis

Problem-solving

Communication

Statistics

Machine learning

Python

SQL

Communication

Education

Master's in Data Science, Computer Science, Statistics, or related field

Tools

Matplotlib

Tableau

AWS

GCP

Azure

Spark

Hadoop

Job description

Key Responsibilities

1. Clean, explore, and analyze large datasets to generate actionable insights.
2. Create dashboards and reports to communicate findings to stakeholders.
3. Collaborate with cross-functional teams to define problems and deliver data solutions.

Requirements

1. Recently completed (or soon completing) a Master’s in Data Science, Computer Science, Statistics, or related field.
2. Strong foundation in statistics and machine learning.
3. Proficiency in Python or R, and SQL.
4. Experience with data visualization tools (e.g., Matplotlib, Tableau).
5. Excellent problem-solving and communication skills.

Nice-to-have

1. Internship or project experience with real-world data.
2. Familiarity with cloud platforms (AWS, GCP, or Azure).
3. Exposure to big data tools (Spark, Hadoop) or MLOps.
4. Publications, Kaggle rankings, or domain knowledge in relevant industries.