Analytics Engineer

You will own analytics for consumer sales across e-commerce, marketplaces, wholesale, and reseller channels. You will develop dbt and Snowflake data models, monitor data quality, build Tableau dashboards, and reconcile revenue, units, and margin data. You will measure marketing-channel performance and campaign impact, model customer value, contribute to data integrations, use AI-enabled analytics workflows, and present clear recommendations to senior stakeholders.

Responsibilities

• Own analytics across consumer sales channels, including e-commerce, marketplaces, wholesale, and resellers
• Develop and improve dbt and Snowflake data models across sales, marketing, and web analytics sources
• Co-own data-quality alerting for SKUs, refunds, and sales anomalies
• Build and maintain Tableau dashboards for business stakeholders
• Measure marketing-channel performance, attribution, ROAS, and CAC across analytics and advertising platforms
• Measure pricing, promotional, and marketing campaign impact using causal-inference methods
• Model customer lifetime value, repurchase behavior, and service attachment
• Contribute to cross-functional data projects and new data-source integrations
• Use AI tooling and LLM-based workflows to scale analytics delivery
• Create and deliver presentations with recommendations for senior stakeholders

Requirements

• Strong SQL and dbt skills with Snowflake
• Python for analysis and statistics
• Strong Tableau skills
• Familiarity with marketing and web analytics data, including GA4, Google Ads, Amazon Ads, and affiliation networks
• 3–4 years of experience in data analytics or analytics engineering
• Ability to challenge stakeholder methodology
• Excellent organizational skills
• Fluent English

Benefits

• Work from home up to 3 times per week under the hybrid policy
• Health and life insurance
• Employee shareholder opportunity
• Commuter allowance