Data Science Analyst

XCELLINK PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading analytics firm in Singapore seeks a Data Analyst to analyze operational and market data. Responsibilities include gathering requirements, building data models, and collaborating with teams. Ideal candidates have a bachelor's in Data Science and 2+ years in analysis, with strong Python and SQL skills. This role offers exposure to complete solution development beyond data modeling.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, or a related discipline.
• Minimum 2 years’ experience in data analysis, preferably in a large organization.
• Strong programming proficiency in Python and SQL.

Responsibilities

• Gather business requirements from users.
• Develop front-end mock-ups and documentation.
• Analyze both internal and market datasets.
• Build and deploy data models for business problems.

Skills

Python proficiency

SQL proficiency

Machine learning knowledge

Data analysis

Problem-solving skills

Education

Bachelor's degree in Data Science or Computer Science

Tools

Machine learning libraries

Data visualization tools

Job description

In this role, you will be responsible for analyzing operational and market data, designing predictive models, and developing proof-of-concepts (POCs) and minimum viable products (MVPs) to address real-world challenges in the shipping industry. You will support the engagement team in defining functional and technical requirements to help transition POCs/MVPs into full-scale production solutions. This role offers exposure to end-to-end solution development beyond data science modeling.

Key Responsibilities

• Work with business users to understand and gather business requirements.
• Develop front-end mock-ups and prepare functional documentation for stakeholder validation.
• Collect, clean, process, and analyze both internal and market datasets.
• Build and deploy data models to tackle business problems in areas such as:
  Machine learning, deep learning, time-series analysis, anomaly detection, and generative AI.
  Operations research, including network optimization and maritime routing.
• Collaborate with Data Scientists and Solution Delivery teams to design complete IT solutions and ensure successful execution of POC/MVP projects.
• Conduct testing and facilitate user acceptance testing (UAT) with business stakeholders.
• Provide regular updates and maintain proactive communication with project leads and business teams.

Minimum Requirements

• Bachelor’s degree in Data Science, Computer Science, or a related discipline.
• Minimum 2 years’ experience in data analysis, preferably in a large organization bridging IT and business functions.
• Strong programming proficiency in Python and SQL.
• Hands-on experience with machine learning libraries and front-end development; knowledge of data visualization tools is a plus.
• Strong analytical and problem-solving skills, with the ability to translate complex business issues into data-driven solutions.
• Excellent communication skills to explain technical insights to non-technical audiences.
• Collaborative mindset and strong interpersonal skills.
• Ability to adapt to changing priorities in a dynamic work environment.