Business Intelligence Engineer II, Selling Partner Insights
Are you excited about driving business growth for millions of sellers through application of BI, Machine Learning and advanced computer science? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making, robust engineering, and sound scientific practices? We're looking for a proven Business Intelligence Engineer who can help take the Selling Partner experience to the next level:
developing scalable and reliable data systems and reports behind key Selling Partner tools and experiences, and enable business partners across the org to make high quality business decisions based on data, insights and reporting.
In this role, you will work closely with Applied Scientists, software engineers, senior leaders, stakeholders, and product teams across Amazon to build a variety of data solutions to make strategic decision making that directly impacts Selling Partner business growth.
As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments.
This role will have an opportunity to build our data infrastructure supporting reporting, work with emerging technologies such as Redshift, QuickSight, Andes, Sage Maker and EMR, while driving business intelligence solutions with end-to-end:
business requirement gathering, data pipelines and dashboard development.
The role requires someone who loves data, understands enterprise information systems, has a strong business sense.
Key job responsibilitieso Data Pipeline Development & Support:
Design, implement and support a scalable and reliable infrastructure for Data Pipelines supporting BI and Analytics use cases to drive key business decisions.
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.
to drive key business decisions.
o Data Collection and Analysis:
Gathering relevant data from various sources, such as databases, spreadsheets, and software systems, and organizing it in a structured manner.
Utilize tools like Python, SQL, Scala, Excel, or data visualization software like QuickSight to clean, transform, and analyze the data to identify patterns, trends, and insights.
o Report Development:
Creating reports and dashboards using various technologies (i.
e.
QuickSight, PHP, Python, Java, and AJAX) that effectively communicate data-driven insights to stakeholders.
Design and develop templates, charts, graphs, and visualizations that present information in a clear and understandable format.
o Data Interpretation:
Analyzing complex data sets, conduct deep dive analyses of business problems and translating them into meaningful conclusions and actionable recommendations to be presented to senior leadership.
o Report Automation:
Implementing automation processes to streamline data collection, analysis, and report generation.
Leveraging tools and technologies to automate repetitive tasks, reduce manual errors, and improve the efficiency of reporting processes.
o Data Quality Assurance:
Ensuring the accuracy, integrity, and consistency of data by performing regular data audits and validation checks.
Identify data discrepancies, resolve data-related issues, and collaborate with relevant stakeholders to improve data quality.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
developing scalable and reliable data systems and reports behind key Selling Partner tools and experiences, and enable business partners across the org to make high quality business decisions based on data, insights and reporting.
In this role, you will work closely with Applied Scientists, software engineers, senior leaders, stakeholders, and product teams across Amazon to build a variety of data solutions to make strategic decision making that directly impacts Selling Partner business growth.
As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments.
This role will have an opportunity to build our data infrastructure supporting reporting, work with emerging technologies such as Redshift, QuickSight, Andes, Sage Maker and EMR, while driving business intelligence solutions with end-to-end:
business requirement gathering, data pipelines and dashboard development.
The role requires someone who loves data, understands enterprise information systems, has a strong business sense.
Key job responsibilitieso Data Pipeline Development & Support:
Design, implement and support a scalable and reliable infrastructure for Data Pipelines supporting BI and Analytics use cases to drive key business decisions.
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.
to drive key business decisions.
o Data Collection and Analysis:
Gathering relevant data from various sources, such as databases, spreadsheets, and software systems, and organizing it in a structured manner.
Utilize tools like Python, SQL, Scala, Excel, or data visualization software like QuickSight to clean, transform, and analyze the data to identify patterns, trends, and insights.
o Report Development:
Creating reports and dashboards using various technologies (i.
e.
QuickSight, PHP, Python, Java, and AJAX) that effectively communicate data-driven insights to stakeholders.
Design and develop templates, charts, graphs, and visualizations that present information in a clear and understandable format.
o Data Interpretation:
Analyzing complex data sets, conduct deep dive analyses of business problems and translating them into meaningful conclusions and actionable recommendations to be presented to senior leadership.
o Report Automation:
Implementing automation processes to streamline data collection, analysis, and report generation.
Leveraging tools and technologies to automate repetitive tasks, reduce manual errors, and improve the efficiency of reporting processes.
o Data Quality Assurance:
Ensuring the accuracy, integrity, and consistency of data by performing regular data audits and validation checks.
Identify data discrepancies, resolve data-related issues, and collaborate with relevant stakeholders to improve data quality.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
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