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Salary
≈ $41k – $100k per year (Estimated)
Location
In office (Singapore)

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Sep 11, 2026.

Overview
Company
Impact
Profile match
Reolink is a security technology company that designs and sells security cameras, video doorbells, floodlight cameras, network video recorders and cloud services for homes and small businesses, with AI detection and wireless and solar options. Founded in 2009 by a group of engineers, it sells online and through retailers such as Screwfix, Argos, Currys, B&Q and John Lewis, and reports millions of users in more than 110 countries and regions. It hires Java backend and senior software engineers, AI algorithm and site reliability engineers, ecommerce, advertising and key account managers, video editors, technical support staff, accountants and HR specialists.

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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