About this opportunity
Ledgent Technology lists this Senior Analytics Engineer opportunity in san diego, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior/Staff Data Engineer (Fintech team) (Bangkok based, relocation provided)
Base pay range: $120,000.00/yr - $140,000.00/yr
Education & Experience - 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.
eCommerce Data Expertise - 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.
Financial Analytics Background - 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.
Inventory Management Systems - 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.
Visualization & Reporting Expertise - Strong proficiency in data visualization tools (Tableau, Power BI, Looker, or similar) with experience creating compelling dashboards, automated reports, and executive presentations that drive business decisions.
Technical Mastery - Expert in SQL and Python (or similar languages) for building scalable, efficient data solutions specifically for ecommerce and financial data pipelines.
dbt + BigQuery Expertise - Proven experience using dbt for transformations and deploying solutions on Google BigQuery or similar (AWS or Azure).
Data Engineering Skills - Strong knowledge of data modeling, warehousing concepts, and ETL/ELT pipelines with specific experience in ecommerce data schemas, marketplace APIs, and financial data integration.
Modern Development Practices - Familiar with Git, version control, and Agile methodologies.
Leadership & Communication - Excellent at mentoring, presenting insights, and explaining complex concepts to technical and non‑technical audiences, including C‑level executives and brand managers.
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.
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Worksite address
san diego, CA, 92189, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.