Business Intelligence Engineer , WW Ops Finance S&A
Amazon.com
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 fast-paced, 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 world-class business intelligence. Find out more about us in this video: https://www.youtube.com/watch?v=zt1qWl379rM
The Worldwide Operations Finance Standardization & Automation (S&A) team is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer (BIE) to join the team.
The role demands a comprehensive grasp of data and reporting, requiring an individual with strong analytical capabilities and exceptional business acumen. 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 fast-paced, dynamic environment, embodying a creative and analytical problem-solving approach, aligning with the Amazon motto to "Work Hard. Have Fun. Make History.".
Key job responsibilities
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Ensure data accuracy by validating data for new and existing tools.
- Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses.
- Collaborate on the design, development, maintenance, and delivery/presentation of forecasting models, metrics, reports, analyses, tools, and dashboards.
- Respond to a variety of on-demand ad-hoc analytical requests as needed.
- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
If so, your search ends here! Join us to innovate and deliver world-class business intelligence. Find out more about us in this video: https://www.youtube.com/watch?v=zt1qWl379rM
The Worldwide Operations Finance Standardization & Automation (S&A) team is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer (BIE) to join the team.
The role demands a comprehensive grasp of data and reporting, requiring an individual with strong analytical capabilities and exceptional business acumen. 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 fast-paced, dynamic environment, embodying a creative and analytical problem-solving approach, aligning with the Amazon motto to "Work Hard. Have Fun. Make History.".
Key job responsibilities
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Ensure data accuracy by validating data for new and existing tools.
- Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses.
- Collaborate on the design, development, maintenance, and delivery/presentation of forecasting models, metrics, reports, analyses, tools, and dashboards.
- Respond to a variety of on-demand ad-hoc analytical requests as needed.
- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
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