Data Analyst / Payment Products / Contract

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading staffing services provider in Singapore is seeking a Data Analyst to support payment product analysis and develop data-driven insights. Candidates should possess a bachelor's degree in a related field, with at least 5 years of experience in data analysis. Proficiency in SQL and familiarity with programming languages like C++, Java, or Golang is essential, along with experience in big data platforms such as Hive or Spark. A keen interest in data analysis and performance improvement is required.

Qualifications

• Minimum 5 years of experience in data analysis.
• Proficient in SQL; familiar with C++/Java/Golang.
• Experience in A/B testing and big data platforms.

Responsibilities

• Support analysis requirements for payment products.
• Find weaknesses in payment products using data-driven techniques.
• Build data products for customer insights.
• Cooperate with teams to define system requirements and improve product features.

Skills

SQL

Data Analysis

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

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.