Sr. Business Intelligence Engineer, WWGS EM Central Ops
Amazon (Shanghai) International Trading Company Limited
Shanghai, China19h ago
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Skills
awsbusiness analysisbusiness intelligencedata miningdata scienceexcelmachine learningproduct launchprogram managementpythonscriptingsqlstatistical analysis
About the role
Amazon Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today, more than 50% of Amazon's total unit sales come from third-party selection. The Global Selling team in China is responsible for recruiting local businesses to sell on Amazon’s WW marketplaces, and supporting local Sellers’ success and growth on the Amazon. Our vision is to be the first choice for all types of Chinese business to go globally.
Amazon's Asia Global Selling Emerging Business team currently seeks a results oriented BIE, make high judgmental and strategic decisions based on in-depth data, and effectively influence worldwide senior leadership to drive complex initiatives and product launches to move the needle for business growth and improve seller experience. The ideal candidate should be able to deal with ambiguity with resilience, successfully influence diverse global senior leadership with holistic mechanism, manage and move forward complex initiatives/programs, and make strategic quality decisions and trade-offs based on data and resources. He/she should be a seasoned BIE/business analysis manager with effective communication skills while earning trust from others and with experienced program management skills on top of sharp business acumen. The experience of working autonomously across various level of experience from global leadership to local business teams in a fast-paced and ambiguous environment is highly preferred.
Key job responsibilities
• Handle large, complex data solution, conduct strategic analysis and insight generation, drive mid-to-long term initiatives to improve seller experience and to accelerate business growth for Global Selling Business.
• Establish the holistic and effective mechanism to cooperate with customers (sellers and business teams) to identify problems and successfully influence global senior leadership to drive scalable solutions and make measurable business impact timely.
• Closely work and review with worldwide counterparts, leadership and business teams for roadmap priority and resources allocation based on data-driven metrics; and relentlessly improve the existing process to ensure a seamless communication across global, emerging central ops team and local leadership team.
• Define and continuously shape the strategy based on data insight. Utilized Excel, SQL, Python and dashboard to manage data to determine target Sellers/Selection for new product/project adoption. Conduct forecasting by recognizing past data & trends.
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- 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
- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS technologies
- Experience with theory and practice of design of experiments and statistical analysis of results
Amazon's Asia Global Selling Emerging Business team currently seeks a results oriented BIE, make high judgmental and strategic decisions based on in-depth data, and effectively influence worldwide senior leadership to drive complex initiatives and product launches to move the needle for business growth and improve seller experience. The ideal candidate should be able to deal with ambiguity with resilience, successfully influence diverse global senior leadership with holistic mechanism, manage and move forward complex initiatives/programs, and make strategic quality decisions and trade-offs based on data and resources. He/she should be a seasoned BIE/business analysis manager with effective communication skills while earning trust from others and with experienced program management skills on top of sharp business acumen. The experience of working autonomously across various level of experience from global leadership to local business teams in a fast-paced and ambiguous environment is highly preferred.
Key job responsibilities
• Handle large, complex data solution, conduct strategic analysis and insight generation, drive mid-to-long term initiatives to improve seller experience and to accelerate business growth for Global Selling Business.
• Establish the holistic and effective mechanism to cooperate with customers (sellers and business teams) to identify problems and successfully influence global senior leadership to drive scalable solutions and make measurable business impact timely.
• Closely work and review with worldwide counterparts, leadership and business teams for roadmap priority and resources allocation based on data-driven metrics; and relentlessly improve the existing process to ensure a seamless communication across global, emerging central ops team and local leadership team.
• Define and continuously shape the strategy based on data insight. Utilized Excel, SQL, Python and dashboard to manage data to determine target Sellers/Selection for new product/project adoption. Conduct forecasting by recognizing past data & trends.
Basic qualifications
- 8+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- 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
Preferred qualifications
- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS technologies
- Experience with theory and practice of design of experiments and statistical analysis of results