Business Intelligence Engineer
Amazon
- Taipei City
- Permanent
- Full-time
- Hands-on experience in writing complex and clean SQL queries.
- Demonstrated experience with data visualization using Quicksight, Tableau, or similar tools
- Strong verbal and written communication skills in English
- Experience working directly with business stakeholders to translate between data and business needs
- Ability and will to quickly and continuously learn new technologiesDESCRIPTIONAre you a passionate Business Intelligence Engineer (BI Engineer) who wants to make a real impact on a big business? Read on!We are looking for seasoned Business Intelligence Engineers to join a BI team in the AWS Support organization. AWS Support, despite the impression that its name “support” might give you, is not a typical reactive customer service, but an independent AWS business that provides industry-leading offerings way beyond just “break-fix”. The business has a self-standing P&L and has even yielded revenue larger than most AWS Services. Managing an organization that provides support for ever-expanding AWS product portfolio to millions of customers across the globe is not a simple task and leaders in all functions inevitably need reliable data for their day-to-day operations and strategic decision-makings. The BI team is an integrated core part of the AWS Support operations delivering robust and trustworthy infrastructure to the truly data-driven organization.As a BI Engineer, you will work closely with diverse internal stakeholders to analyze large data sets, prove and disprove hypothesis, use analytical rigor to solve complex problems, define key performance indicators (KPIs) through your deep understanding in data, business and operations, automate existing solutions and build data pipelines, and design and implement self-service dashboards/reports that allow quickly discovery of golden insights and drive the decisions made by senior leadership to serve AWS customers better. You will let the data answer questions such as “What is high/low quality means at support?”, “Is this particular customer happy with their support experience? “, and “How productive is this support agent versus other agents in the network?” The usage of the data that the AWS Support BI team publishes spans to other AWS teams outside of the organization. Support data serves as one of key leading indicators for new customer demands and for problems yet to be discovered. Such external usage might lead to “next big thing” launched by AWS!Key job responsibilities
- Understand the problem that's loosely defined or structured.
- Provides BI solutions for difficult problems and works on delivering large BI solutions.
- Provides solutions that drive team's business decisions and highlight new opportunities.
- Improves code quality and optimizes BI processes.
- Basic understanding of a scripting language. Knows how to model data and design a data pipeline. Able to apply basic statistical methods (e.g. regression) for difficult business problems.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.We are open to hiring candidates to work out of one of the following locations:Taipei, TPE, TWNPREFERRED QUALIFICATIONS- Cross-team collaboration skills, effective communication skills, and excellent data presentation skills when interfacing with stakeholders, peers and senior leadership.
- Experience in programming to extract, transform and clean large datasets
- Experience in architecturing and managing large scale reports and data pipelines.
- Experience in large scale workforce or operations.