BIE II WW Ops Finance SA Field Finance
BIE II WW Ops Finance SA Field Finance
Posted on :
07-04-2025
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1 Vacancy
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Job Description
Are you enthusiastic about the standardization of data and the automation of Business Intelligence engineering processes to drive analytics and reporting Do you excel in fastpaced ambiguous environments Are you passionate about transforming data into actionable recommendations implementing data governance best practices and defining standards for data access quality and consistency If so your search ends here! Join us to innovate and deliver worldclass business intelligence. Find out more about us in this video: Worldwide Operations Finance Standardization & Automation (SnA) Tech team is looking for a customer focused analytically and technically skilled Business Intelligence Engineer (BIE) to join the team. As part of the transportation operation Amazon ships several millions of packages every year to customers on time with high customer excellence.
The role demands a comprehensive grasp of data and reporting requiring an individual with strong analytical capabilities and exceptional business acumen. As a valuable member of the growing BIE team within the central Tech organization supporting WW operations finance you will play a crucial role in shaping our strategic innovation program. Your contribution will empower project teams with insights into operational performance. The dynamic growth of the business and the evolving complexity of the global transportation network make this position both exciting and challenging. The ideal candidate will not only elevate the standard for data retrieval and analysis but will also exhibit a keen curiosity to understand the business holistically proactively delving into issues as they arise. Attention to detail proficiency and advanced skills in SQL/DWH/Python and a knack for solving data and reporting challenges are essential. Effective collaboration and clear communication with functional teams both regionally and globally are integral to the role. The ideal candidate thrives in a fastpaced dynamic environment embodying a creative and analytical problemsolving approach aligning with the Amazon motto to Work Hard. Have Fun. Make History..
Key job responsibilities
Key job responsibilities
The ideal candidate is a seasoned data professional with a strong bias for action possessing expertise in data modeling ETL SQL and scripting. Additionally they should have a passion for presenting data in a visually appealing and easily digestible manner. In this role you will play a key part in identifying complex business problems recognizing opportunities and implementing solutions to enhance Operations Financefacing systems processes and tools. The successful candidate will be a selfstarter and quick learner comfortable with ambiguity resultsoriented with a keen attention to detail. They must insist on high standards demonstrate decisionmaking abilities and be ready to adapt in a fastpaced everchanging business environment. Your responsibilities will include setting data modeling standards constructing complex data pipelines building and maintaining multiple databases identifying complex/abstract problems and uncovering insights through the use of statistical data mining and visualization techniques. Furthermore you will contribute to process automation by developing deepdive tools user interfaces (UIs) metrics and dashboards to communicate insights in realtime to business teams. Successful team members collaborate effectively with business customers and crossfunctional data management teams to solve problems and implement innovative solutions.
About the team
S&A WW Ops Finance Tech org started in Oct23 (Brand new org) and with very strong tech product road map upcoming year.
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
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
Experience with SQL
Experience in the data/BI space
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 largescale complex datasets
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The role demands a comprehensive grasp of data and reporting requiring an individual with strong analytical capabilities and exceptional business acumen. As a valuable member of the growing BIE team within the central Tech organization supporting WW operations finance you will play a crucial role in shaping our strategic innovation program. Your contribution will empower project teams with insights into operational performance. The dynamic growth of the business and the evolving complexity of the global transportation network make this position both exciting and challenging. The ideal candidate will not only elevate the standard for data retrieval and analysis but will also exhibit a keen curiosity to understand the business holistically proactively delving into issues as they arise. Attention to detail proficiency and advanced skills in SQL/DWH/Python and a knack for solving data and reporting challenges are essential. Effective collaboration and clear communication with functional teams both regionally and globally are integral to the role. The ideal candidate thrives in a fastpaced dynamic environment embodying a creative and analytical problemsolving approach aligning with the Amazon motto to Work Hard. Have Fun. Make History..
Key job responsibilities
Key job responsibilities
The ideal candidate is a seasoned data professional with a strong bias for action possessing expertise in data modeling ETL SQL and scripting. Additionally they should have a passion for presenting data in a visually appealing and easily digestible manner. In this role you will play a key part in identifying complex business problems recognizing opportunities and implementing solutions to enhance Operations Financefacing systems processes and tools. The successful candidate will be a selfstarter and quick learner comfortable with ambiguity resultsoriented with a keen attention to detail. They must insist on high standards demonstrate decisionmaking abilities and be ready to adapt in a fastpaced everchanging business environment. Your responsibilities will include setting data modeling standards constructing complex data pipelines building and maintaining multiple databases identifying complex/abstract problems and uncovering insights through the use of statistical data mining and visualization techniques. Furthermore you will contribute to process automation by developing deepdive tools user interfaces (UIs) metrics and dashboards to communicate insights in realtime to business teams. Successful team members collaborate effectively with business customers and crossfunctional data management teams to solve problems and implement innovative solutions.
About the team
S&A WW Ops Finance Tech org started in Oct23 (Brand new org) and with very strong tech product road map upcoming year.
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
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
Experience with SQL
Experience in the data/BI space
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 largescale complex datasets
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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