Analytics Engineer for DTC E-commerce Brand (Remote, SEA)

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About Our Clients

Our client is a growing direct-to-consumer e-commerce brand focused on delivering high-quality products and strong customer experiences. As the business scales, they are looking for a Analytics Engineer to build and own our data foundation end-to-end.

This role is responsible for designing data pipelines, managing the data warehouse, and creating reliable, structured datasets that power decision-making across marketing, product, and operations. This is not a reporting-only role. The focus is on building scalable data systems that ensure accuracy, consistency, and a single source of truth across the business.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines from multiple data sources (Shopify, Meta, Google, CRM, etc.)
• Own and manage the data warehouse (e.g. BigQuery, Snowflake, Redshift)
• Ensure reliable, scalable, and efficient data flow across systems
• Monitor and improve pipeline performance, cost, and reliability
• Build and maintain data models (dbt or equivalent)
• Structure raw data into clean, business-ready datasets (fact/dimension tables)
• Define and standardize core business metrics across teams
• Enable a consistent single source of truth
• Implement validation checks and monitoring to ensure data accuracy
• Identify and resolve discrepancies across platforms
• Maintain documentation for data definitions and logic
• Improve overall trust in data across the organization
• Support dashboarding and reporting (Looker, Power BI, etc.)
• Partner with marketing, product, and ops teams to deliver clean datasets
• Enable faster and more accurate analysis across the business

Requirements:
• Strong SQL (advanced level)
• Experience building data pipelines (ETL/ELT) using Python, dbt, Airflow, or similar tools
• Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, etc.)
• Experience in data modeling (dbt, star schema, or similar)
• Experience working with multiple data sources (APIs, SaaS tools, databases)

Nice to have

• Experience with D2C / eCommerce data (Shopify, Meta Ads, Google Ads, etc.)
• Experience with BI tools (Looker, Tableau, Power BI)
• Familiarity with marketing metrics (CAC, LTV, ROAS)
• Experience in high-growth startup environments

Benefits:
• Remote flexibility – Work remotely while collaborating with a globally distributed team.
• Earn between $48,000 to $84,000 per year, depending on experience and expertise.
• Strategic leadership role – Direct exposure to executive leadership and key decision-making processes.
• Opportunity to build and scale the company’s data strategy and infrastructure from the ground up.