Senior Analytics Engineer

About the Role

Key Responsibilities

• Design, develop, and manage advanced data pipelines for inventory tracking, financial reporting, and marketplace performance analytics for internal and client use.
• Transform complex inventory data, advertising spend, and sales performance metrics into actionable insights that optimize stock levels, improve margins, and maximize ROI.
• Build comprehensive financial dashboards, interactive reports, and executive visualizations tracking COGS, profit margins, advertising efficiency (ACOS/TACOS), inventory turns, and Amazon selling metrics.
• Develop sophisticated models, visualizations, and automated reports for demand forecasting, reorder point optimization, and trend analysis to prevent stockouts and overstock situations.
• Develop and uphold data standards specifically for SKU management, financial reconciliation, and marketplace data integrity across the organization.
• Guide junior team members on ecommerce analytics best practices and foster a high-performing, collaborative environment.
• Identify process improvements in inventory management and financial reporting workflows, stay current on ecommerce industry trends, and clearly present complex financial and operational concepts to all audiences.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field (or equivalent experience) with 5+ years specifically in ecommerce analytics/data engineering with inventory and financial data focus.
• Proven experience working with marketplace data, inventory management systems, ERP integrations, and financial reporting platforms.
• Deep understanding of ecommerce KPIs, unit economics, and inventory metrics.
• Strong background in creating client-facing dashboards and executive reporting.
• Experience with COGS tracking, margin optimization, advertising spend analysis, and financial reconciliation processes.
• Hands-on experience with inventory planning software, demand forecasting tools, warehouse management systems (WMS), and supply chain analytics.
• Proficiency in data visualization tools such as Tableau, Power BI, Looker, or similar.
• Expertise in SQL and Python (or similar languages) for building scalable data solutions.
• Proven experience using dbt for transformations and deploying solutions on Google BigQuery or similar platforms (AWS or Azure).
• Knowledge of data modeling, warehousing concepts, and ETL/ELT pipelines with ecommerce and financial data schemas.
• Familiarity with Git, version control, and Agile methodologies.
• Excellent mentoring, presentation, and communication skills, capable of explaining complex concepts to technical and non-technical audiences, including C-level executives.

Nice to Have

• Experience with BigQuery and dbt.
• Knowledge of marketplace APIs and financial data integration.
• Experience with supply chain analytics and inventory valuation methods.

Qualifications

• Bachelor's or Master's degree in relevant fields or equivalent experience.
• 5+ years of experience in ecommerce analytics or data engineering.

Benefits & Perks

• Competitive salary range of $120-140k.
• 100% onsite work in downtown San Diego.
• No C2C or sponsorship available.