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Regional Operations Data Analyst

SpringCube

Full time - Senior Associate/ Asst Manager

Retail & Ecommerce

Singapore ( Onsite )

Published 3 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 above to find your next career move.

Regional Operations Data Analyst

Company Overview:
A leading e-commerce platform in Southeast Asia and Taiwan, this organization is committed to providing a seamless online shopping experience through strong logistical and payment support. The operations team ensures an efficient end-to-end process for customers, encompassing everything from product search to order fulfillment. This platform’s regional logistics team combines technology and data-driven strategies to enhance delivery speed and reliability while optimizing costs and creating a streamlined logistics process across multiple markets.

Job Description:
As a Regional Operations Data Analyst, you will analyze logistics operations and user behavior datasets, create dashboards and visualizations, and use data models and statistical analyses to identify patterns and drive strategic insights. This role involves close collaboration with cross-functional teams, regular updates on data-driven initiatives, and the development of reliable data pipelines to improve data quality and accessibility.

Responsibilities:

  • Analyze dynamic datasets related to logistics operations and user behaviors to derive valuable insights.
  • Develop dashboards and visualizations to support data-driven decision-making.
  • Use advanced data models, algorithms, and statistical analyses to detect patterns and trends.
  • Track and assess the impact of initiatives and provide regular updates on outcomes.
  • Collaborate with cross-functional teams in a collaborative, inclusive environment.
  • Present findings and recommendations to stakeholders in a clear, concise manner.
  • Work with teams to build reliable data pipelines, ensuring data quality and exploring improvements in data management.

Requirements:

  • Bachelor’s degree in a STEM field, statistics, computer science, or a related discipline.
  • 1 to 4 years of relevant experience.
  • Proficiency in SQL, Python, R, or other data analysis and manipulation languages.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus but not required.
  • Strong communication skills for effective collaboration and presentation.
  • Eagerness to learn and adapt in a rapidly evolving field.
  • Ability to thrive in a collaborative and inclusive team environment.

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.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
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