Payments Data Analyst

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

Job summary

Salt is seeking a Data Analyst in Singapore on a 12-month contract to translate data into actionable business insights. You will analyze payment and growth metrics, run experiments, and influence product, operations and commercial decisions.

You'll work with cross-functional teams to define metrics, validate data quality, and scale analytics processes using SQL and statistical methods. This role focuses on improving payment experiences, user growth, and operating efficiency while balancing costs.

Qualifications

• Proficiency in SQL and data extraction, cleaning and validation.
• Ability to design business metrics and identify key drivers.
• Knowledge of statistical analysis and experimental design.
• Ability to drive analysis projects and communicate findings across teams.
• Analytics experience in payments or e-commerce growth.

Responsibilities

• Support data analysis for card issuing and payment-related insights.
• Develop and maintain business metrics to track performance.
• Evaluate initiatives via data analysis and experiments.
• Collaborate with cross-functional teams to translate questions into analyses.
• Improve data quality and automate analytical processes.

Job description

We are looking for a Data Analyst for one of our social media client in Singapore for 12 months & renewable contract role. In this role you will use metrics, business insights and experiments to inform product, operations and commercial decisions, improving payment experience, user growth and operating efficiency while balancing costs and sustainable business outcomes.

What you’ll do

• 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 business outcomes, cost and user experience.
• Work with cross-functional teams to translate business questions into analytical approaches, communicate findings and support implementation.
• Improve analytical processes and data quality, exploring automation and AI to increase efficiency and support reliable decision-making.

What you’ll need

• Proficiency in SQL, with the ability to independently extract, clean and analyze data and validate data quality.
• Ability to design business metrics, break down business problems, identify key drivers and develop actionable recommendations.
• Knowledge of statistical analysis and experimental design, including control groups, uncertainty, bias and interpretation of results.
• Ability to independently drive analysis projects, communicate findings clearly and work with product, operations, engineering and risk teams to implement improvements.
• Analytics experience in payments, card issuing, financial services or e-commerce growth, with an understanding of transaction, conversion or profitability metrics.

CEI No: R1659595 / EA No: 07C3147