Description

　　Amazon Advertising team seeks a talented business intelligence Engineer to support the APAC LCS Ads Finance team. The role will work closely with leadership in both finance and business teams. As APAC Finance BIE team, our mission is to enable our customers to obtain and dive deep on key business metrics by building, maintaining, streamlining business and finance relevant dashboards and analysis. We lean in providing insights & analytics to support APAC LCS Sales and Finance teams. If you enjoy using technical and analytical skills to shape strategy and influence revenue-driving initiatives from concept to full-scale operations, this role will be a perfect match.

　　Key job responsibilities

　　Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions.

　　Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

　　Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

　　Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.

　　Work with central and regional BIE team in global collaboration efforts

　　A day in the life

　　Use technical expertise to suggest ways to improve processes and incorporate operational excellence best practices

　　Use analytical and statistical rigor to answer business questions and drive business decisions

　　Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation

　　Meeting with business stakeholders, requestors and regional and WW team members for on-going projects and new intakes

　　About the team

　　APAC LCS CB Finance team supports ads team in China LCS cross border and APAC AM org. These are nascent, high growth and high visibility areas with stakeholders in China and Japan LCS sales team. Our Finance team is designed to be collaborative, although team members have clear ownership of an area(s), success typically involves partnering with others in the broader finance team.

　　We are open to hiring candidates to work out of one of the following locations:

　　Beijing, 11, CHN

　　Basic Qualifications

　　3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

　　Experience with data visualization using Tableau, Quicksight, or similar tools

　　Experience with data modeling, warehousing and building ETL pipelines

　　Experience in Statistical Analysis packages such as R, SAS and Matlab

　　Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

　　Preferred Qualifications

　　Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

　　Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets