Data Analyst (E-Commerce Team)
reolink Open · verified Oct 24, 2026 At a glance
Mid-level Data Analysis & BI role at reolink. Singapore.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Analyze platform data to find changes that can lift e-commerce performance, profitability and guest experience
- Create data pipelines and self-service dashboards, then add in-house API capabilities for wider platform reach
- Work with product, engineering and design teams to ground decisions in data and business goals
- Check data quality, trace issues and coordinate with data engineering on pipeline fixes and clearer definitions
- Help guide e-commerce product choices and establish a system for measuring product performance
What you bring
- You bring data analysis and visualization skills for guiding business decisions
- You can build data pipelines, self-service dashboards and in-house API features
Who this fits
This role suits a data analyst focused on e-commerce, covering Reolink’s official website and Amazon in Australia, Europe and the United States. The job is office-based near Tai Seng MRT in Singapore, five work days per week.
From the employer
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
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5 Work Days Per Week
- Office Near Tai Seng MRT, Singapore
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Medical Benefits Provided
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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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