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Reolink

Data Analyst (E-Commerce Team)

Reolink Singapore, Singapore

Computers and Electronics Manufacturing · 501-1,000 employees

3 h ago
data-analyst Mid (2-5 yrs) Full-time Singapore
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About the role

The role involves driving business decisions through data analysis, visualization, and the development of self-service dashboards. You will also collaborate with engineering and product teams to maintain data integrity and build e-commerce product metric systems.

What they look for

Data analysis Data visualization E-commerce Data pipelines Dashboard development API development Data quality Metric system design Business intelligence Product management collaboration

Requirements

The position requires a strong background in e-commerce data analysis and the ability to build data pipelines. Candidates should be capable of working effectively with cross-functional teams to align data-driven insights with business goals.

Benefits

Medical benefits Yearly bonus Performance bonus

Full description

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

  • Position: E-commerce Data Analysts

• 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

  • Our e-commerce platform focus on Reolink Official Website & Amazon for different region particularly for the Australia and Europes & United States.

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

  • 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

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