Ecommerce Analytics Engineer
Posted 9 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- People management
- Employment
- On-Site
Compensation
No salary listed for this role.
Role speciality
Data ModelingDigital AnalyticsEcommerce Analytics
Useful technologies
AlteryxdbtGoogle AnalyticsSQL
Required qualifications
Study levelBachelor's
Preferred qualifications
Study levelMaster's
- Collaborate with Ecommerce BI Analysts to understand business needs and translate them into efficient data structures.
- Enable analysts to focus on delivering insights by ensuring timely access to curated, high-quality datasets.
- Partner with Data Engineers to ensure data availability in staging environments.
- Own the transformation layer between staging and analytics-ready datasets, applying business logic to create trusted sources for analysis.
- Develop and manage layered transformation workflows that promote modularity, traceability, and alignment with governance and AI-readiness standards.
- Build and maintain structured, reusable datasets using dbt or similar transformation tools, applying scalable logic to support analytics across ecommerce products.
- Maintain documentation, testing protocols, and data quality standards.
- Ensure data and models from on-prem applications, Google Analytics and other sources support key ecommerce metrics related to site search, customer behavior, product performance, and other relevant measures.
- Lead development of scalable, modular data models (staging, intermediate, mart) that support traceability and reduce duplicative effort.
- Optimize transformation logic for performance and maintainability.
- Define and enforce documentation and lineage standards for analytics datasets.
- Work closely with cross-functional product teams to ensure data models align with customer experience goals and ecommerce KPIs.
- Experience supporting multi-domain and multi-language international ecommerce websites.
- Moderate SQL proficiency and understanding of data modeling principles.
- Experience with Alteryx or similar ETL platforms.
- Ability to optimize data models for performance and usability.
- Strong communication skills and ability to work cross-functionally.
- Advanced SQL skills and experience with performance tuning.
- Strong understanding of ecommerce metrics and digital product data needs.
- Ability to lead data modeling efforts and mentor junior engineers.
- Strong understanding of data governance and documentation best practices.
- Strong skills in mathematics.
- Strong attention to detail.
- Solid organizational skills, ability to handle multiple projects and meet deadlines.
- Good presentation, oral, and written communication skills.
- Communicate clearly and concisely with technical and non-technical stakeholders.
- Highly effective in working within teams with wide target audiences.