Amazon
Business Intelligence Engineer, GS S&O - ES Strategy, Operations, and Enablement
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, GS S&O - ES Strategy, Operations, and Enablement
Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? Enterprise Support is hiring!
You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root, stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area, you understand data resources and know how, when, and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems, you develop analyses (whether fully formed or exploratory) for the business’ sake, not for analyses’ sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value.
You will own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Redshift, Quicksights, etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills to define and measure critical metrics.
Key job responsibilities:
Build dashboards that enable business insights and support business review mechanisms, including building and designing back end architecture, data models, ELT jobs, etc. as needed.Work with business stakeholders to define business problems and deliver minimum lovable products in days and weeks.Deliver dashboards, analysis, and develop predictive models in an Agile development environment.Collaborate with business analysts, data engineering peers, Business Operations, finance, and internal customers to deliver scalable consumption of analytics insights and statistics.Support the analytical needs of the team inclusive of routine reporting, statistical inference, predictive modeling, simulation, and visualization.Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement.Retrieve and analyze data from database tables (ex. Redshift, Oracle), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.Analyze volumes of data to find the root causes behind variances and drive insights.Build new analytical tools, interfacing with business and technical stakeholders.Develop models and metrics providing insights on customer experience and business performance.
Minimum 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.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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.#J-18808-Ljbffr
Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? Enterprise Support is hiring!
You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root, stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area, you understand data resources and know how, when, and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems, you develop analyses (whether fully formed or exploratory) for the business’ sake, not for analyses’ sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value.
You will own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Redshift, Quicksights, etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills to define and measure critical metrics.
Key job responsibilities:
Build dashboards that enable business insights and support business review mechanisms, including building and designing back end architecture, data models, ELT jobs, etc. as needed.Work with business stakeholders to define business problems and deliver minimum lovable products in days and weeks.Deliver dashboards, analysis, and develop predictive models in an Agile development environment.Collaborate with business analysts, data engineering peers, Business Operations, finance, and internal customers to deliver scalable consumption of analytics insights and statistics.Support the analytical needs of the team inclusive of routine reporting, statistical inference, predictive modeling, simulation, and visualization.Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement.Retrieve and analyze data from database tables (ex. Redshift, Oracle), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.Analyze volumes of data to find the root causes behind variances and drive insights.Build new analytical tools, interfacing with business and technical stakeholders.Develop models and metrics providing insights on customer experience and business performance.
Minimum 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.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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.#J-18808-Ljbffr