DTC Analytics Engineer for US E-commerce Brand (Remote, Worldwide)
Paired • Philippines
Posted: April 16, 2026
Job Description
Paired is a global recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located.
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
- Experience with DTC / eCommerce data (Shopify, Meta Ads, Google Ads, etc.)
- 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)
- Experience with BI tools (Looker, Tableau, Power BI)
- Familiarity with marketing metrics (CAC, LTV, ROAS)
- Experience in high-growth startup environments
Additional Content
Paired is a global recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located.
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
- Experience with DTC / eCommerce data (Shopify, Meta Ads, Google Ads, etc.)
- 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)
- Experience with BI tools (Looker, Tableau, Power BI)
- Familiarity with marketing metrics (CAC, LTV, ROAS)
- Experience in high-growth startup environments