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Company Overview
A global e-commerce and technology organization is seeking a Business Intelligence Analyst II to support operational and strategic decision-making. The company focuses on delivering best-in-class customer experiences and operational excellence through data-driven insights across merchandising, supply chain, and fulfillment networks.
Our Opportunity
The Business Intelligence Analyst II will support Merchandising and Supply Chain leadership by owning operational metrics that manage Dropship performance and delivery experience outcomes. This role ensures leaders have accurate, timely, and actionable insights to run the business, connecting data to customer impact and operational tradeoffs while proactively identifying risks and opportunities across the Dropship network.
Responsibilities
Own analytics and operational metrics for the Dropship fulfillment channel, supporting leadership on vendor execution, delivery performance, and customer outcomes.
Investigate complex and ambiguous data questions, connecting vendor behavior to delivery and customer experience outcomes.
Translate findings into clear narratives that drive actionable business decisions.
Monitor data pipelines for accuracy, missing data, and enhancements; reconcile issues across multiple systems.
Develop and maintain dashboards and visualizations using tools such as Tableau to communicate insights effectively.
Lead quality control and testing initiatives for analytics deliverables.
Apply statistical techniques including hypothesis testing, correlation, classification, regression, and time series forecasting.
Use machine learning frameworks in R or Python to support process improvement initiatives.
Work with cross-functional stakeholders to define and document requirements for high-quality data products.
Develop and deliver communication and training plans on analytics capabilities, standards, and processes.
Evaluate, implement, and deploy emerging tools and technologies to improve productivity.
Stay updated on best practices in analytics, business intelligence, and data science.
Qualifications
Bachelor’s or Master’s degree in Information Technology, Engineering, Statistics, Computer Science, Business with analytics focus, or a related field, or equivalent experience.
4+ years of full-time experience in an analyst role, preferably in e-commerce or retail.
Advanced knowledge of SQL, data modeling, and performance tuning techniques.
Experience with ETL techniques and BI tools (Tableau, KNIME, Control M, SSIS, Alteryx).
Solid experience in data visualization using multiple data sources and dashboards.
Proven ability to interpret data, analyze results, and present insights to business partners.
Familiarity with Git, Jira, and Confluence for source code and project management.
Current permanent US work authorization is required.
Strong communication, collaboration, and problem-solving skills.
Passionate about leveraging data to drive innovation in a fast-paced, ambiguous environment.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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