Data Analytics Engineer for Financial Insights

GLOBAL WEALTH TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A financial technology company based in Singapore is seeking a Data Analytics Specialist to enhance data capabilities. This role involves analyzing financial and market datasets, developing dashboards, and building data pipelines. Candidates should have a degree in a related field, proficiency in data analysis tools like Python and SQL, and strong analytical skills. This position offers opportunities to work in a fast-growing environment with exposure to investment research and data-driven product development.

Benefits

Opportunity to work in a fast-growing financial technology company

Exposure to investment research and financial markets

Collaborative work environment

Opportunities for professional growth and development

Qualifications

• Strong analytical and problem solving skills with the ability to work with large datasets.
• Proficiency in data analysis tools and programming languages such as Python, SQL, or R.
• Good communication skills and ability to work collaboratively in a fast-paced environment.

Responsibilities

• Analyse financial market datasets to generate insights that support investment research.
• Design and develop dashboards and reporting tools.
• Build and maintain data pipelines for financial and user data.
• Automate data workflows to improve accuracy.

Skills

Analytical skills

Problem-solving skills

Proficiency in Python

Proficiency in SQL

Data visualization

Attention to detail

Communication skills

Education

Bachelor's degree in Data Analytics, Computer Science, Statistics, Finance, Economics or a related field

Tools

Power BI

Tableau

Job description

A financial technology company based in Singapore is seeking a Data Analytics Specialist to enhance data capabilities. This role involves analyzing financial and market datasets, developing dashboards, and building data pipelines. Candidates should have a degree in a related field, proficiency in data analysis tools like Python and SQL, and strong analytical skills. This position offers opportunities to work in a fast-growing environment with exposure to investment research and data-driven product development.