Data Analyst (SQL, A/B Testing )

Manpower Staffing Services; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A staffing agency seeks a Data Intelligence professional in Singapore to enhance payment products through data analysis. Responsibilities include building data products and collaborating with teams to support business needs. Ideal candidates hold a Bachelor's degree in relevant fields and possess at least 2 years of experience in data analysis, with skills in SQL and familiarity with programming languages like C++, Java, and Golang.

Qualifications

• Proficient in SQL.
• Familiar with C++, Java, Golang.
• Solid data analysis capabilities.
• At least 2 years of experience.

Responsibilities

• Support analysis requirements for Global Payments.
• Identify weaknesses in payment products using data-driven techniques.
• Build data products for customer insights.
• Work with Products and Operation teams on system requirements.

Skills

SQL

C++

Java

Golang

Data Analysis

Data Mining

Education

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

Tools

Hive

Spark

Job description

Responsibilities

The Data Intelligence team in Global Payments leads the efforts of discovering data-driven business values for Global Payments, by collecting, visualising and mining generated data from the pipeline of whole Global Payments system. The outcomes include optimising the key business metrics, improving Global Payments products and user experiences, risk management through data intelligence, predicting the trends from historical data, etc.

• Responsible for supporting analysis requirements for Global Payments, 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.

Qualifications

• Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors.
• Proficient in SQL, familiar with C ++, Java, Golang.
• Proficient in big data platforms such as Hive, Spark.
• Solid data analysis capabilities.
• Experience in supporting and optimising business needs with data analysis.
• At least 2 years of experience and above.
• Background in internet companies or payments is plus.
• Deep interest in Data Analysis, Data Mining is plus.