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Senior Data Analyst

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD

Singapore

On-site

SGD 70,000 - 90,000

Full time

Today
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Job summary

A leading staffing services agency in Singapore is looking for a seasoned data analyst to join their Data Intelligence team. The role involves supporting analysis for payment products, building data products, and collaborating with teams to enhance business features. 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.

Qualifications

  • 5+ years of experience in data analysis.
  • Proficiency in SQL and familiarity with C++/Java/Golang.
  • Experience with big data platforms like Hive/Spark.

Responsibilities

  • Support analysis requirements for payment products.
  • Build data products for customer insights.
  • Collaborate with teams to define system requirements.

Skills

Data analysis
SQL
Data visualization
Data mining
Problem-solving

Education

Bachelor degree in Computer Science, Statistics, Mathematics

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 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.
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