Data Analyst

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

Job summary

A leading financial institution in Singapore is seeking a data professional to develop business intelligence strategies and analytics solutions. The ideal candidate will have a strong background in data modeling, machine learning techniques, and experience in the Fintech domain. A bachelor's degree is required, and proficiency in tools like PowerBI and Python is preferred. Competitive compensation and growth opportunities are offered.

Qualifications

• Minimum 1-2 years of experience in a relevant field.
• Experience with BI and visualization tools preferred.
• Strong understanding of cloud technologies (AWS or similar).

Responsibilities

• Develop and implement business intelligence strategies.
• Build and maintain data models and reporting systems.
• Support data pipelines for automation of data processes.

Skills

Business intelligence strategies

Data modeling

Machine learning techniques

Coding in Python

Problem solving in Fintech

Python programming

ETL/ELT processes

Education

Bachelor's degree in Computer Science, Engineering, Data Science or related

Master's degree (preferred)

Tools

PowerBI

Tableau

Streamlit

Snowflake

Snowflake

Job description

Job Responsibilities

• Develop effective business intelligence strategies and analytics solutions to drive growth and manage risk.
• Apply supervised and unsupervised modelling techniques using structure and unstructured data to build predictive solutions in the areas of credit underwriting, income estimation, fraud detection etc.
• Build, develop, and maintain data models, reporting systems, data automation systems, and dashboards.
• Oversee the design and delivery of reports and insights that analyse business functions and key performance metrics.
• Translate business and technical requirements into data interfaces, data transformation jobs and design data models that powers self‑service analytics or AI projects.
• Support the data engineers, product managers and developers to develop data pipelines to automate data acquisition, cleansing and transformation for Data Lake and Data Marts.
• Interface with technology, product, credit, investor relations & other business teams to formulate solutions & drive product / process changes informed by your findings and business inputs / reality.
• Communicate results and business impacts of insight initiatives to stakeholders in various business units.
• Relentless effort to research and apply latest ML techniques, willing to share the best practices with team.

Qualifications

• Minimum BA / BS in Comp. Sci., Engineering, Data Sci., Statistics, Econometrics. Master's Degree is preferred.
• Minimum 1‑2 years of experience is preferred.
• Experience in problem solving especially in the Fintech and lending domain is preferred.
• Work experience and knowledge of more than one domain - Risk Analytics, Portfolio Analytics, Marketing Analytics will be a plus.
• Experience in BI and visualization tools : PowerBI / Tableau, Streamlit, is preferred.
• Coding and modelling skills in Python, MySQL, NoSQL as well as experience in ETL / ELT.
• Demonstrated track record of defining business objectives followed by formulating analytics problem statement to solve.
• Experience in collaborating with the data engineers for Data Lake (e.g. Snowflake) and Data Mart development would be a plus.
• Sound understanding of cloud technologies and infrastructure (AWS or others).
• Strong drive to build exceptional data assets.