Data Insights Analyst – Payments & Growth Optimization

Salt; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Salt in Singapore is seeking a Data Analyst for a 12-month renewable contract to inform product, operations and commercial decisions using data-driven insights, experiments, and metrics to improve payment experience, user growth and operating efficiency.

You will collaborate with product, operations, engineering and risk teams to translate questions into analyses, create actionable recommendations and support implementation of data-driven improvements.

Qualifications

• Proficiency in SQL to independently extract, clean and analyze data.
• Ability to design business metrics and identify key drivers.
• Knowledge of statistical analysis and experimental design.
• Capable of driving analysis projects and communicating findings clearly.
• Experience in payments, card issuing, or ecommerce growth.

Responsibilities

• Support data analysis for card issuing and payment solutions, providing insights to inform business strategy and product decisions.
• Develop and maintain business metrics to track performance, identify key drivers and uncover opportunities for improvement.
• Evaluate product, growth and operational initiatives through data analysis and experimentation, balancing outcomes and user experience.
• Work with cross-functional teams to translate business questions into analytical approaches and communicate findings.
• Improve analytical processes and data quality, exploring automation and AI to increase efficiency.

Skills

SQL

Metrics design

Experimental design

Cross-functional collaboration

Payments domain

Job description

Salt in Singapore is seeking a Data Analyst for a 12-month renewable contract to inform product, operations and commercial decisions using data-driven insights, experiments, and metrics to improve payment experience, user growth and operating efficiency.

You will collaborate with product, operations, engineering and risk teams to translate questions into analyses, create actionable recommendations and support implementation of data-driven improvements.