Are you passionate about building business insights that drive decision making at the highest levels? Do you want to be a part of a fast-paced, ambiguous environment and contribute to Amazon Payments charter?
In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provided Data Analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker) to provide business metrics for senior leaders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, product managers, marketing, finance, operations, program managers and other data teams to build datasets that can be used for generating insights.
Key job responsibilities
As a business intelligence engineer, you will/may:
- Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
- Work with team leadership to understand the customer needs and concerns as well as define solutions.
- Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.
- Use analytical and statistical rigor to solve complex problems and drive business decisions.
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
- Design and drive experiments, A/B testing, outlier deep dives and form actionable recommendations. Manage the implementation of those recommendations.
- Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Monitor and troubleshoot operational or data issues in the data pipelines
- Review and audit existing ETL jobs and SQL queries.
About the team
Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
