Data Engineer (E-Commerce / Marketing Team)

INTELLIVISION TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Medical benefits

Yearly bonus

Performance bonus

5 work days per week

Office near Tai Seng MRT

Job summary

INTELLIVISION TECHNOLOGY PTE. LTD. in Singapore is seeking a Data Engineer for the E-Comm team to transform data into actionable insights for our online platforms. You will build data pipelines, dashboards and metrics to support decision making across product, marketing and operations, collaborating with cross-functional teams to improve guest experience and growth.

You will work five days a week in our Tai Seng area office, with medical benefits and performance incentives tied to results.

Qualifications

• Degree in Marketing, Data Analytics, Mathematics or related background.
• Experience analyzing data to drive business decisions.
• Experience building dashboards and data pipelines.
• Ability to collaborate with product, engineering and design teams.

Responsibilities

• Drive actionable insights by analyzing data to improve performance and guest experience across e-commerce platforms.
• Build data pipelines, self-service dashboards and in-house API features to support growth.
• Collaborate with product, engineering and design to align data decisions with business goals.
• Validate data quality and work with data engineering to improve pipelines and definitions.
• Provide data support for business/product decisions in e-commerce scenarios.

Education

Degree in Marketing / Data Analytics / Mathematics or related background

Job description

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

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

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:

• 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