Senior Analytics Engineer - Ecommerce & Finance Data

Ledgent Technology; San Diego (CA); On-site; USD 120,000 - 140,000; Full time

Job summary

A leading technology recruitment firm is seeking a Senior/Staff Data Engineer specializing in eCommerce and financial analytics. The role involves building scalable data solutions and creating impactful visualizations for business decisions. Candidates should have strong experience with data engineering and analytics, particularly in ecommerce and finance. Expertise in SQL, Python, and visualization tools like Tableau or Power BI is essential. The position is based in San Diego, California, with relocation support provided.

Qualifications

• 5+ years specifically in ecommerce analytics/data engineering with focus on inventory and financial data.
• Familiarity with accounting principles and financial statement analysis.
• Proven ability to translate financial data into clear visualizations.

Responsibilities

• Build scalable, efficient data solutions specifically for ecommerce and financial data pipelines.
• Create compelling dashboards and executive presentations that drive business decisions.
• Mentor and explain complex concepts to technical and non-technical audiences.

Skills

eCommerce Data Expertise

Financial Analytics Background

Inventory Management Systems

Visualization & Reporting Expertise

Technical Mastery in SQL and Python

dbt + BigQuery Expertise

Data Engineering Skills

Modern Development Practices

Leadership & Communication

Education

Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field

Tools

Tableau

Power BI

Looker

Google BigQuery

Job description

A leading technology recruitment firm is seeking a Senior/Staff Data Engineer specializing in eCommerce and financial analytics. The role involves building scalable data solutions and creating impactful visualizations for business decisions. Candidates should have strong experience with data engineering and analytics, particularly in ecommerce and finance. Expertise in SQL, Python, and visualization tools like Tableau or Power BI is essential. The position is based in San Diego, California, with relocation support provided.