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Senior data analyst

SpringCube

Full time - Senior Associate/ Asst Manager

Banking & Financial Services

Singapore ( Onsite )

Published 4 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Senior Data Analyst

Company Overview
This organization is a global leader in consumer internet services, focused on improving lives and businesses across Southeast Asia and Taiwan through innovative financial solutions. With digital services like mobile wallets, payment processing, and credit offerings, the organization operates under multiple brands recognized in the digital finance sector. Its mission is to drive financial inclusion and convenience through technology.

Job Description
As a Senior Data Analyst, you will collaborate closely with stakeholders to address business challenges by translating their needs into actionable analytics solutions. This role involves consolidating data from various sources, performing ad-hoc analyses, designing automated dashboards, and supporting marketing campaigns through data insights. A deep understanding of the banking business and expertise in data management are essential.

Key Responsibilities

  • Stakeholder Collaboration: Work with stakeholders to understand their needs and translate them into data analytics problems, delivering solutions that support business decision-making.
  • Data Consolidation: Serve as a subject matter expert on banking data, consolidating data from multiple sources for integrated insights.
  • Ad-Hoc Analysis: Conduct analyses and create visualizations to address specific business issues.
  • Dashboard Development: Design, automate, and maintain critical dashboards for business units using SQL and/or Pyspark.
  • Campaign Support: Support campaign events by managing audience selection, in-campaign tracking, and post-campaign evaluation.

Job Requirements

  • Education: Bachelor’s degree in Computer Science, Engineering, Business Analytics, Information Technology, Finance, Statistics, or a related field.
  • Experience: 3–7 years in analytical roles, with a strong command of Python and SQL.
  • Analytical Application: Experience incorporating analytical insights or predictive models into business processes is advantageous.
  • Passion for Data: Preference for candidates with a demonstrated interest in data analysis, evidenced by related coursework, DA/DS competition participation, or project development on GitHub.
  • Industry Experience: Background in business intelligence or marketing analytics in e-commerce or FinTech is a plus.
  • Skills: Strong project management and communication abilities.

Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
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