About this role
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 ClientsOur 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.
ResponsibilitiesDesign, 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 systemsMonitor and improve pipeline performance, cost, and reliabilityBuild 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 teamsEnable a consistent single source of truthImplement validation checks and monitoring to ensure data accuracyIdentify and resolve discrepancies across platformsMaintain documentation for data definitions and logicImprove overall trust in data across the organizationSupport dashboarding and reporting (Looker, Power BI, etc.)Partner with marketing, product, and ops teams to deliver clean datasetsEnable faster and more accurate analysis across the businessRequirements
Strong SQL (advanced level)Experience building data pipelines (ETL/ELT) using Python, dbt, Airflow, or similar toolsHands-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 environmentsBenefits
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.