Data Analyst (E-Commerce Team) at Reolink

<div class="content-intro"><p><strong>Reolink</strong>, 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.<br>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.</p></div><ul> <li style="font-weight: bold;"><strong>Position: <span class="gs_tkn">E-commerce&nbsp;</span><span class="gs_tkn">Data&nbsp;</span><span class="gs_tkn">Analysts</span></strong></li> <li> <p><strong>5 Work Days Per Week</strong></p> </li> </ul> <ul> <li style="font-weight: bold;"><strong>Office Near Tai Seng MRT, Singapore</strong></li> <li style="font-weight: bold;"> <p><strong>Medical Benefits Provided&nbsp;</strong></p> </li> </ul> <ul> <li style="font-weight: bold;"> <p><strong>Entitled to Yearly Bonus &amp; Performance Bonus&nbsp;</strong></p> </li> </ul> <p><span style="text-decoration: underline;"><strong>Background of E-Commerce Team</strong></span></p> <ul> <li>Our e-commerce platform focus on Reolink Official Website &amp; Amazon for different region particularly for the Australia and Europes &amp; United States.&nbsp;</li> </ul> <p><span style="text-decoration: underline;"><strong>Responsible driving business decisions through data analysis and visualization, job scopes include:</strong></span></p> <ol> <li>Driving actionable insights: Analyzing data to generate insights that improve performance, profitability, and guest experience across various e-commerce platforms.</li> <li>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.</li> <li>Collaboration with teams: Working with product management, engineering, and design teams to ensure data-driven decisions align with business goals.</li> <li>Data quality and integrity: Validating data quality, investigating data issues, and collaborating with data engineering teams to improve data pipelines and definitions.</li> <li>Supporting business decisions: Providing professional data support for business product decisions in e-commerce scenarios and building an e-commerce product metric system.</li> <li>E-commerce Data Analysts play a crucial role in the e-commerce industry, leveraging data to enhance business strategies and drive growth</li> </ol>