Data Analyst (Payment Products)

Manpower Staffing Services; Singapore; On-site; SGD 75,000 - 95,000; Full time

Job summary

A staffing services company in Singapore is seeking a Data Analyst to lead data-driven efforts in the payments domain. You will be responsible for supporting analysis requirements, improving payment products, and building data products that provide customer insights. The ideal candidate has a Bachelor's degree in a relevant field and at least 5 years of experience in data analysis, proficient in SQL and big data platforms like Hive and Spark. This role offers a unique opportunity to impact business values significantly.

Qualifications

• At least 5 years of experience in data analysis function.
• Background in internet companies or payments products is a plus.
• Keen interest in Data Analysis and Data Mining.

Responsibilities

• Support analysis requirements for payment products.
• Find weaknesses in payment products and implement improvements.
• Build data products to provide insights and best practices.
• Cooperate with teams to define system requirements.

Skills

Data analysis

SQL

Data mining

A/B testing

C++/Java/Golang

Education

Bachelor degree or above in Computer Science, Statistics, Mathematics or related majors

Tools

Hive

Spark

Job description

You'll join the Data Intelligence team and lead the efforts of discovering data-driven business values; collecting, visualising and mining generated data from the pipeline of the payments system.

Responsibilities:

• Responsible for supporting analysis requirements for payment products, such as ad-hoc analysis report, dashboards building, data tracking design, etc;
• Use data-driven techniques to find weaknesses in payment products and implement improvements proactively;
• Build data products to provide our customers with data insights and best practices in the payments domain;
• Cooperate with Products and Operation teams to define system requirements, build data products, improve and roll-out product features to support business.

Requirements:

• Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors;
• At least 5 years of experiences in data analysis function;
• Proficient in SQL, familiar with C ++/Java/Golang;
• Proficient in big data platforms such as Hive/Spark;
• Experience in A/B testing;
• Experience in supporting and optimising business needs with data analysis;
• Background in internet companies or participated in payments, buy now pay later products is a plus;
• Keen interest in Data Analysis, Data Mining.