Amazon (China) Holding Company Limited
Business Intelligence, Business Intel Engineer, international stores
Sr.BIEngineer(BI+DataEngineering)
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. BI Engineer (BI + Data Engineering) at Amazon (China) Holding Company Limited. Skills: Business Intelligence, Data Engineering, Data analysis. Identify opportunities and implement solutions to improve efficiency. Model complex/abstract problems”
Industry & Context.
Solve complex problems; Root cause analysis
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline, 8+ years of experience in using quantitative analysis, 10+ years of professional or military experience, 5+ years of SQL experience, Experience programming to extract, transform and clean large (multi-TB) data sets, Experience with theory and practice of design of experiments and statistical analysis of results, Experience with AWS technologies, Experience in scripting for automation (e. g. Python) and advanced SQL skills, Experience with theory and practice of information retrieval, data science, machine learning and data mining
Nice to Have
Master's degree in statistics, data science, or an equivalent quantitative field, Graduate degree in Engineering, Logistics, or another quantitative field, Experience working directly with business stakeholders to translate between data and business needs, Experience managing, analyzing and communicating results to senior leadership
What You'll Do.
Identify opportunities and implement solutions to improve efficiency
Model complex/abstract problems
Discover insights through statistical and visualization techniques
Develop metrics and dashboards to communicate insights
Perform deep-dives and root cause analysis to answer
Manipulate/mine data from database tables using SQL
Manipulate/mine data from log files by writing scripts
Develop analytical tools
Build and maintain databases
Create tools using software applications
Understand multiple programming languages
Use analytical and statistical rigor to solve complex
Drive business decisions
Develop analytical tools: deep-dive tools
Effectively communicate solutions and methodologies to senior leadership
Work with engineering teams to enable data capture
How You'll Work.
Team & Collaboration
Partner with stakeholders; Work across multiple disciplines; Work with product design; Work with frontend sales; Work with operations; Work with finance; Work with engineering teams
Communication Scope
English written and verbal; Communicate solutions and methodologies
Full Job Description
We are hiring a BIE to innovate the data practice for company strategic supply chain product, based in Shanghai. This is an critical position to partner with important stakeholders in Amazon organization, working across multiple disciplines including product design, frontend sales, operations and finance to understand foundational insights needs and building a plan to bring this new service to success. Key job responsibilities As a Business Intelligence Engineer with our team, you will help identify opportunities and implement solutions to improve the efficiency of supply chain network for the ultra-fast delivery programs. You will be responsible for modeling complex/abstract problems and discovering insights through the use of statistical and visualization techniques. Further, you will develop metrics and dashboards to communicate these insights to the Ops/Sales/Product teams. The complexity of research and skills for this role is well beyond basic data entry and research. It involves complex analysis and diving deep into key metrics based on requests, building and maintaining multiple databases, knowledge of software applications to create tools, and understanding of multiple programming languages. The following provides some detail of the job duties and responsibilities. Use analytical and statistical rigor to solve complex problems and drive business decisions. Manipulate/mine data from database tables (ex. Redshift, MySQL) using SQL. Manipulate/mine data from log files by writing scripts (ex. PERL, Python, UNIX) Develop analytical tools: deep-dive tools, UIs, metrics, and dashboards (Tableau/Quicksight) Perform deep-dives and root cause analysis to answer business questions Effectively communicate (English written and verbal) solutions and methodologies to senior leadership Work with engineering teams to enable the appropriate capture and storage of data. Key job responsibilities • Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or
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