Business Analyst II, Ops Analytics & Data Engineering
Core
Transform large datasets into actionable business insights and dashboards to support operational health, risk detection, and seller experience optimization.
Role type
Senior Business Analyst (Ops Analytics & Data Engineering)
Builds
Large-scale datasets, reports, dashboards, and metadata models for Operations and Partner trust teams.
Domain
E-commerce operations, seller experience, and financial analytics.
Deliverable
dashboards & analysis
Required skills
Data analytics, data extraction and transformation, root cause analysis, trend identification, dashboard creation, GenAI implementation, requirements gathering, query performance tuning, stakeholder management, Excel (VBA, pivot tables, array functions, Power Pivot), Tableau
Preferred skills
Data visualization (QuickSight, Power BI), written communication of analytical outcomes, modeling basics
Technologies
Excel, Tableau, QuickSight, Power BI, GenAI
Responsibilities
Design and manage extremely large datasets; create datasets, reports, and dashboards; tune query performance against complex data sets; implement GenAI technologies for analytics; translate analytic insights into concrete business recommendations; interact with product owners and technical teams to gather requirements and structure scalable data solutions.
Seniority
Mid-Senior, hands-on IC
