Job Description

DESCRIPTIONAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.Amazon Web Services, Inc. ("AWS") enables customers of all sizes to run their applications on Amazon\'s industry-leading cloud computing infrastructure. AWS is growing very rapidly with hundreds of thousands of companies in over 190 countries on the platform. This growth is driving the need for an experienced Analytics and Insights Lead. Amazon has a strong culture of data-driven decision-making; requiring timely, accurate, and actionable intelligence that delivers significant business value. We are looking for a hands-on and motivated self-starter who is passionate about using data to help us measure every area of the business and influence decision-making.In this role, the Analytics and Insights Lead serves as the subject matter expert to fulfil data-driven decision-making demands. As the successful candidate, you must be able to roll-up your sleeves and work directly with large and complex datasets. You will continuously evolve business reporting, conduct data analysis, build self-service reporting and analytical tools, and deliver business insights in an environment of rapid growth and increasing complexity.You will be passionate about your work, detail-oriented, analytical, and possess creative problem-solving abilities. You will need to demonstrate subject matter expertise in querying and extracting large datasets and the accompanying tools and programming languages needed to work with them. You will possess good communication and project management skills, is customer obsessed and able to communicate complex business insights; both verbally and in writing; in a clear and precise manner.Key job responsibilities
- Leads the development of self-service reporting and analysis by creating and owning business reports and insight products
- Conducts data analysis to solve business problems through the use of statistical and/or machine learning models
- Continuously sharpens skillsets by learning and maintaining knowledge of existing and emerging data and analytics tools
- Collaborates with the internal and global data engineering teams on the design, development and maintenance of data infrastructure including data models
- Collaborates with the internal and worldwide data science teams on the design, development and maintenance of statistical and/or artificial intelligence/machine learning (AI/ML) modelsAbout the team
About AWSDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there\'s nothing we can\'t achieve in the cloud.GSO2024We are open to hiring candidates to work out of one of the following locations:Singapore, SGPBASIC QUALIFICATIONS- 5+ years of work experience as a Business Analyst
- Bachelor\'s degree with emphasis on statistical and analytical skills
- Proficiency in relational databases (Redshift, SQL Server, MySQL, etc.) and SQL for querying and extracting data
- Proficiency in at least programming languages (Python, Java, etc.) for data gathering, data cleansing and statistical analysis
- Expertise in data visualisation software (QuickSight, Tableau, PowerBI, etc.) for effective data presentation to help make strategic business decisions and generate next best actionsPREFERRED QUALIFICATIONS- Experience working in the Information Technology industry is highly beneficial
- Proficiency in different types of databases (relational vs. non-relational, etc.) and their relevant use cases
- Experience working with Cloud Computing
- Experience in agile product management
- Experience in deploying artificial intelligence/machine learning (AI/ML) models into production
- AWS certified (AWS Certified Solutions Architect - Associate, AWS Certified Data Analytics, etc.)
- Creative and analytical thinking to answer business questions along with strong and effective written and oral communication to clearly convey data findings

Amazon