Beijing Century Joyo Courier Service Co., Ltd.

Business Intelligence, Business Intel Engineer, international stores

BusinessIntelligenceEngineer

$320–500k ~AI est. Shanghai, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Business Intelligence Engineer at Beijing Century Joyo Courier Service Co., Ltd.. Skills: Business Intelligence, Data Engineering, ETL, Data Visualization. Design data infrastructure. Develop data infrastructure”

What You'll Achieve.

Scale AGL's market adoption target; Automate growth workflows

Industry & Context.

Business Intelligence, Business Intel Engineer, international stores
Problems you'll solve

Identifying growth opportunity; Alerting risks; Data mining into GTM planning; Market competitiveness analysis; Product feature rampup validation

What They're Looking For.

Must Have

3+ years analyzing data with Redshift, Oracle, NoSQL, 2+ years Tableau Desktop, Quicksight or similar, Bachelor's degree or equivalent experience, Experience with data visualization, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience in Statistical Analysis packages, Experience using SQL to pull data, Scripting experience (Python) to process data, Experience using Python scripting

Nice to Have

Master's degree or above, Advanced Microsoft Excel knowledge, Experience with AWS solutions, Experience in data mining, Experience with ETL, Experience using databases with large-scale datasets, Experience developing new metrics

What You'll Do.

Design data infrastructure

Develop data infrastructure

Maintain data infrastructure

Support business intelligence initiatives

Create automated dashboard solutions

Partner with teams for data requirements

Implement BI solutions

Design AI/LLM-powered solutions

Automate human-in-the-loop tasks

Develop statistical analysis

Support business decision making

How You'll Work.

Team & Collaboration

Partner with Product teams; Partner with Technical teams; Partner with Business teams; Partner with Marketing teams

Full Job Description

Amazon has spent years building one of the world’s most efficient and optimized supply chains. Amazon Global Logistics (AGL) builds on that foundation with innovative distribution and end-to-end supply chain service for FBA sellers. As a Business Intelligence Engineer at Amazon Global Logistics (AGL), you will be the strategic insights provider driving the business adoption for a 30+ AGL shipping/storage product and solution portfolio for APAC sellers across multiple origins to marketplaces. You are responsible for identifying the growth opportunity and alerting risks with inputs from sales/product and GTM teams, data mining into actionable business GTM planning and campaigns, market competitiveness analysis and product feature rampup request validations proofs. Your mission is to scale AGL’s market adoption target through data-driven hypotheses, rigorous ROI governance, and the automation of growth workflows. Key job responsibilities - Design, develop, and maintain scalable data infrastructure and ETL pipelines to support business intelligence initiatives using automated dashboard solutions - Partner with Product, Technical, Business, and Marketing teams to understand data requirements and design scalable and user-friendly BI solutions - Design and implement AI/LLM-powered solutions to automate human-in-the-loop tasks - Design and develop statistical analysis to support business decision making using the AI infrastructure and company wide solutions Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience - Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data mo

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