Data Analyst

Manpower Singapore; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A recruitment agency in Singapore is seeking a data analyst to support payment products analysis. The role requires a Bachelor's degree in a relevant field and at least 5 years of experience in data analysis, with proficiency in SQL and big data platforms like Hive or Spark. Ideal candidates should have a strong interest in data analysis and experience in optimizing business needs through data insights.

Qualifications

• At least 5 years of experience in data analysis function.
• Familiar with business optimization using data.

Responsibilities

• Support analysis requirements for payment products.
• Use data-driven techniques to find weaknesses in payment products.
• Build data products for customer insights.

Skills

Data Analysis

SQL

Data Mining

Proactive Implementation

Education

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

Tools

Hive

Spark

C ++

Java

Golang

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 experience in data analysis function;
• Proficient in SQL, familiar with C ++/Java/Golang;
• Proficient in big data platforms such as Hive/Spark;
• Experience in supporting and optimising business needs with data analysis;
• Background in internet companies or participated in payments, buy now pay later products;
• Keen interest in Data Analysis, Data Mining.

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