Amazon
Business Intelligence Engineer, Selling Partner Support Engagement
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Selling Partner Support Engagement
Job ID: 2840062 | Amazon.com Services LLC Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? In this position, you will directly support the creation of a global product that evolves the support experience for our Selling Partners.
Data driven approach is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will work closely with product managers, SDEs, data engineers, operations teams, and senior management to define new metrics and project requirements and provide inputs towards defining solutions to business problems.
You will learn and understand our global operations, database infrastructure, and existing system functionalities. After establishing this knowledge, you will need to develop a robust set of metrics and reporting solutions to help uncover opportunities, prioritize fixes, and influence leadership to help drive investments that reduce waste. Some of these metrics do not exist, requiring critical thought and data/metrics design. This will include complex analytics, mapping systems and datasets together, developing scalable reporting solutions, and producing narratives/documents outlining key insights and trends meant to drive investment as well as measuring the efficacy of solutions implemented over time to attribute success and impact. You'll build sustainable, scalable and automated analytics that help the organization understand opportunities for efficiency and performance improvements. With stakeholders across multiple teams, there will be frequent opportunities to influence significant decisions.
RESPONSIBILITIES:
Analyze large datasets using SQL, Excel, and other data manipulation tools to answer key business questions and influence product roadmaps. Design, develop, and manage scalable solutions for metrics, reports, and dashboards to support business needs. Identify data sources, build data pipelines, and perform comprehensive analyses to address business problems. Work autonomously to deliver results that align with team and organizational goals. Drive process simplification, automation, and standardization to improve efficiency and expand impact on customer experience. Effectively communicate complex insights to stakeholders through verbal presentations, written reports, and data visualizations. Conduct statistical analyses, including hypothesis testing and A/B testing, to support data-driven decision-making. Innovate new methodologies and approaches to understand and improve customer experiences, leveraging both existing and new data sources. A day in the life You will work closely with product, program, and tech teams in order to stay connected to the ongoing feature launch roadmaps. The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. You will build a variety of analytics and visualization solutions to support our product features. You will autonomously perform deep dives, uncovering new trends/areas that may need attention. You will also work closely with our product team to help design experiments and look for new opportunities. 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 Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Posted:
November 14, 2024 (Updated about 5 hours ago) Posted:
December 14, 2024 (Updated about 13 hours ago) Posted:
December 14, 2024 (Updated about 22 hours ago) Posted:
December 13, 2024 (Updated 1 day ago) Posted:
December 13, 2024 (Updated 1 day ago)
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Job ID: 2840062 | Amazon.com Services LLC Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? In this position, you will directly support the creation of a global product that evolves the support experience for our Selling Partners.
Data driven approach is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will work closely with product managers, SDEs, data engineers, operations teams, and senior management to define new metrics and project requirements and provide inputs towards defining solutions to business problems.
You will learn and understand our global operations, database infrastructure, and existing system functionalities. After establishing this knowledge, you will need to develop a robust set of metrics and reporting solutions to help uncover opportunities, prioritize fixes, and influence leadership to help drive investments that reduce waste. Some of these metrics do not exist, requiring critical thought and data/metrics design. This will include complex analytics, mapping systems and datasets together, developing scalable reporting solutions, and producing narratives/documents outlining key insights and trends meant to drive investment as well as measuring the efficacy of solutions implemented over time to attribute success and impact. You'll build sustainable, scalable and automated analytics that help the organization understand opportunities for efficiency and performance improvements. With stakeholders across multiple teams, there will be frequent opportunities to influence significant decisions.
RESPONSIBILITIES:
Analyze large datasets using SQL, Excel, and other data manipulation tools to answer key business questions and influence product roadmaps. Design, develop, and manage scalable solutions for metrics, reports, and dashboards to support business needs. Identify data sources, build data pipelines, and perform comprehensive analyses to address business problems. Work autonomously to deliver results that align with team and organizational goals. Drive process simplification, automation, and standardization to improve efficiency and expand impact on customer experience. Effectively communicate complex insights to stakeholders through verbal presentations, written reports, and data visualizations. Conduct statistical analyses, including hypothesis testing and A/B testing, to support data-driven decision-making. Innovate new methodologies and approaches to understand and improve customer experiences, leveraging both existing and new data sources. A day in the life You will work closely with product, program, and tech teams in order to stay connected to the ongoing feature launch roadmaps. The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. You will build a variety of analytics and visualization solutions to support our product features. You will autonomously perform deep dives, uncovering new trends/areas that may need attention. You will also work closely with our product team to help design experiments and look for new opportunities. 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 Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Posted:
November 14, 2024 (Updated about 5 hours ago) Posted:
December 14, 2024 (Updated about 13 hours ago) Posted:
December 14, 2024 (Updated about 22 hours ago) Posted:
December 13, 2024 (Updated 1 day ago) Posted:
December 13, 2024 (Updated 1 day ago)
#J-18808-Ljbffr