Overview
Do you want to work hard, have fun, and make history? We are seeking a creative, goal-oriented and highly technical person to join our exciting and fast-paced team. Our vision is to be the provider of the most innovative, secure and customer friendly payment options to customers in LatAm, providing access, driving engagement and increasing affordability through the value-added benefits and seamless experience that our products offer. We are looking for a dynamic and innovative BI Engineer that will enable Amazon Brazil growth through implementation and support of business intelligence solutions for payments products and programs. She/he will bring insights to the businesses teams and drivers for decision making, will support Payments Team growth by owning complex reporting and managing structural changes in tables and concepts. This role is both a strategic and hands-on role. It requires
Full job description
Full Job Description
Do you want to work hard, have fun, and make history? We are seeking a creative, goal-oriented and highly technical person to join our exciting and fast-paced team. Our vision is to be the provider of the most innovative, secure and customer friendly payment options to customers in LatAm, providing access, driving engagement and increasing affordability through the value-added benefits and seamless experience that our products offer. We are looking for a dynamic and innovative BI Engineer that will enable Amazon Brazil growth through implementation and support of business intelligence solutions for payments products and programs. She/he will bring insights to the businesses teams and drivers for decision making, will support Payments Team growth by owning complex reporting and managing structural changes in tables and concepts. This role is both a strategic and hands-on role. It requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as good business acumen and the ability to work with quantitative and business teams. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.
In this role you will be responsible for solving complex and analytical challenges that produce critical business insights. The ideal candidate has a deep business acumen, an a deep analytical background with business understanding, and earns trust by delivering results.
Key job responsibilities
- Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
- Work closely with the team to understand business challenges and provide data/analysis for better decision making.
- Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.
- Build self-service reporting platforms, establishing automated processes for large scale data analysis.
- Understand and write high quality queries to retrieve and analyze data.
- Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve productivity.
- Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate.
Basic Qualifications
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
Preferred Qualifications
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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Requirements & qualifications
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R)
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