Analytics Engineer
Core
Own analytics across consumer sales (e-commerce, marketplaces, wholesale) to provide a consistent view of revenue, units, and margin; measure marketing performance and campaign impact using causal inference; model customer value (LTV) to inform marketing ROI decisions.
Role type
Senior Analytics Engineer (Data Team)
Builds
Data models (dbt/Snowflake), Tableau dashboards, and performance measurement frameworks for sales and marketing operations.
Domain
Web3 / Digital Assets / Consumer Sales & Marketing
Deliverable
dashboards & analysis
Required skills
SQL, dbt, Snowflake, Python, Tableau, Causal Inference, Marketing Analytics (GA4, Google Ads, Amazon Ads), Data Modeling
Preferred skills
LLM-based workflows, Experience with Salesforce data models
Technologies
Snowflake, dbt, Tableau, GA4, Google Ads, Amazon Ads, Claude
Responsibilities
Develop and improve data models across varied data sources; Build and maintain Tableau dashboards for business stakeholders; Measure performance marketing channels (SEM, affiliation, retargeting); Model customer value (LTV, repurchase behavior) and feed into marketing ROI decisions; Create presentations turning complex analyses into clear recommendations for stakeholders.
Seniority
Mid-Senior, hands-on IC
