Data Scientist (E-Commerce Team)

• Position: Data Engineer (E-Comm Team)

• 5 Work Days Per Week

• Office Near Tai Seng MRT, Singapore

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Background of E-Commerce Team

1. Our e-commerce platform focus on Reolink Official Website & Amazon for different region particularly for the Australia and Europes & United States. 
2. Degree in Marketing / Data Analyst / Mathematics or related background is required for this post.

Responsible driving business decisions through data analysis and visualization, job scopes include:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

• Driving actionable insights: Analyzing data to generate insights that improve performance, profitability, and guest experience across various e-commerce platforms.
• Data analysis and reporting: Building data pipelines, self-service dashboards, and developing new in-house API features to drive growth and extend reach into other ecosystems/platforms.
• Collaboration with teams: Working with product management, engineering, and design teams to ensure data-driven decisions align with business goals.
• Data quality and integrity: Validating data quality, investigating data issues, and collaborating with data engineering teams to improve data pipelines and definitions.
• Supporting business decisions: Providing professional data support for business product decisions in e-commerce scenarios and building an e-commerce product metric system.
• E-commerce Data Analysts play a crucial role in the e-commerce industry, leveraging data to enhance business strategies and drive growth

Skills

Developed growth strategies, Data Quality Checks, e-commerce expertise, Data Pipeline, AWS, E-commerce Solutions, Mathematics, Educational Background, Business Decision Making, Marketing, e-commerce environment, Data Engineering, Product Management, Profitability, Data Integrity, Reporting & Analysis