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Luminize · 1 month ago

Sr. Analytics Engineer (Amazon Marketplace)

San Diego, CA

Full-time

Onsite

Mid, Senior Level

$120K/yr - $140K/yr

5+ years exp

Luminize is a full-service Amazon growth partner helping brands achieve next-level success in a competitive digital marketplace. They are seeking a strategic and experienced Senior Analytics Engineer with deep ecommerce and financial data expertise to build scalable data pipelines for inventory management and financial reporting, delivering actionable insights that impact profitability and operational efficiency.

AdvertisingE-Commerce PlatformsMarketing

Responsibilities

Build & Optimize – Design, develop, and manage advanced data pipelines for inventory tracking, financial reporting, and marketplace performance analytics for internal and client use

Drive eCommerce Intelligence – Transform complex inventory data, advertising spend, and sales performance metrics into actionable insights that optimize stock levels, improve margins, and maximize ROI

Financial Data Mastery – Build comprehensive financial dashboards, interactive reports, and executive visualizations tracking COGS, profit margins, advertising efficiency (ACOS/TACOS), inventory turns, and Amazon selling metrics

Inventory Analytics Leadership – Develop sophisticated models, visualizations, and automated reports for demand forecasting, reorder point optimization, and trend analysis to prevent stockouts and overstock situations

Champion eCommerce Data Governance – Develop and uphold data standards specifically for SKU management, financial reconciliation, and marketplace data integrity across the organization

Mentor & Collaborate – Guide junior team members on ecommerce analytics best practices and foster a high-performing, collaborative environment

Innovate & Communicate – 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

Qualification

ECommerce AnalyticsFinancial Data ExpertiseData Visualization ToolsSQLPythonInventory Management SystemsData Engineering SkillsDbt + BigQueryModern Development PracticesLeadershipCommunication

Required

Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field (or equivalent experience)

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

Strong experience with COGS tracking, margin optimization, advertising spend analysis, and financial reconciliation processes

Familiarity with accounting principles and financial statement analysis

Proven ability to translate financial data into clear visualizations and actionable reports

Hands-on experience with inventory planning software, demand forecasting tools, warehouse management systems (WMS), and supply chain analytics

Understanding of inventory accounting methods and valuation

Experience building automated inventory reports and performance dashboards

Strong proficiency in data visualization tools (Tableau, Power BI, Looker, or similar)

Experience creating compelling dashboards, automated reports, and executive presentations that drive business decisions

Expert in SQL and Python (or similar languages) for building scalable, efficient data solutions specifically for eCommerce and financial data pipelines

Proven experience using dbt for transformations and deploying solutions on Google BigQuery or similar (AWS or Azure)

Strong knowledge of data modeling, warehousing concepts, and ETL/ELT pipelines with specific experience in ecommerce data schemas, marketplace APIs, and financial data integration

Familiar with Git, version control, and Agile methodologies

Excellent at mentoring, presenting insights, and explaining complex concepts to technical and non-technical audiences, including C-level executives and brand managers