Data Analyst - Retail Finance Analytics & Dashboards

Monee SG Private Limited

Singapore

On-site

SGD 36,000 - 58,000

Full time

7 days ago
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Job summary

Monee SG Private Limited is seeking a talented analytics graduate to join our Retail Finance team in Singapore. You will work with cross-functional stakeholders to scope problems, automate processes, and build insightful dashboards that drive business decisions.

Ideal candidates have a strong foundation in SQL and Python, familiarity with data visualization tools, and an interest in finance/banking analytics. Graduation by July 2026 with joining by August 2026 is expected.

Qualifications

  • Bachelor’s degree and above in CS/Engineering/Analytics/IT/Finance/Statistics, with expected graduation by July 2026 and joining August 2026.
  • Relevant working experience in analytics related roles.

Responsibilities

  • Work closely with stakeholders to understand needs/pain points to scope up their problems and enhance internal processes through automation and improve productivity.
  • Critically evaluate and define business metrics; develop analysis that lead to actionable insights to support the continuous improvement of the Retail Finance business.
  • Be a subject matter expert in retail finance data. Consolidate data from multiple sources including operations, marketing and source databases to create integrated views that can be used to drive decision making.
  • Build and implement data visualisation of reports and dashboards for management and business users.

Skills

SQL
Python

Education

Bachelor’s degree or higher in CS/Engineering/Analytics/IT/Finance/Statistics

Tools

Data Visualization Tools

Job description

Monee SG Private Limited is seeking a talented analytics graduate to join our Retail Finance team in Singapore. You will work with cross-functional stakeholders to scope problems, automate processes, and build insightful dashboards that drive business decisions.

Ideal candidates have a strong foundation in SQL and Python, familiarity with data visualization tools, and an interest in finance/banking analytics. Graduation by July 2026 with joining by August 2026 is expected.

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