Data Analyst (Payment Products)

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading staffing services firm in Singapore is seeking a Data Analyst to lead efforts in discovering data-driven business values related to payment products. The ideal candidate has over 5 years of experience in data analysis, is proficient in SQL, and familiar with big data platforms like Hive and Spark. This role offers the opportunity to build data products and improve payment features to support business needs.

Qualifications

• At least 5 years of experience in data analysis.
• Proficient in SQL and familiar with programming languages.
• Experience in A/B testing and big data platforms.

Responsibilities

• Support analysis requirements for payment products.
• Identify weaknesses in payment products and implement improvements.
• Build data products for customer insights.

Skills

Data analysis

SQL

Data visualization

Problem-solving

Education

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

Tools

Hive

Spark

C++

Java

Golang

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.