Amazon
Business Intelligence Engineer, Alexa, Fire TV, Appstore, Luna
Amazon, Seattle, Washington, us, 98127
Description
Fire TV is reshaping the way millions of people watch, engage with, and enjoy entertainment content every day. We are seeking for an experienced Business Intelligence Engineer who is passionate about using data to surface customer insights that will influence the development of new and improved customer experiences on Fire TV. If you enjoy working with cross-functional teams to deliver robust and scalable analytics solutions to address complex problems, and thrive in a fast-paced, changing environment, then this opportunity is for you.
Our ideal candidate is someone who has experience instrumenting metrics and deep diving large and ambiguous datasets, is an expert in data querying languages such as SQL, PySpark, or Python, and has general data wrangling experience with ETL processes. The candidate should also have exemplary communication skills and business acumen, and be comfortable working with partners with varying levels of technical awareness.
Key job responsibilities
• Own the end-to-end delivery of reporting products including:
• Working with product stakeholders to gather
business requirements to define key performance
indicators
• Translating business requirements into
technical requirements that can be used by
software developers and data engineers to build
data pipelines
• Validating data and writing code logic to
instrument metrics
• Designing, implementing, and maintaining
ongoing reporting solutions such as
dashboards to drive key business decisions and
track overall business health and goals
• Performing analyses on large datasets to explain changes in customer engagement and feature performance trends
• Interfacing with other data teams to extract, transform, and load data from a wide variety of data sources
• Recognizing and adopting best practices in reporting and analysis to foster operational excellence (e.g., performing data integrity checks, gaining efficiencies in data processing capabilities, continuously improving reporting and analysis processes, and driving documentation processes)
• Managing multiple projects and proactively communicating to stakeholders status updates and shifts in priorities and objectives
• Contributing to defining the team's data vision and strategy
A day in the life
In this role you will help shape and implement the team's vison for data infrastructure and data models, reporting and deep dive artifacts, and self-serve data tools. You will help develop and maintain team mechanisms that ensure our data products hold a high bar for operational efficacy and accuracy. You will closely collaborate with product, engineering, and partner BI teams to define and instrument key performance indicators for the Fire TV business and ensure that these metrics are aptly represented and understood across orgs.
About the team
Our team is part of the Fire TV Experience org and is comprised of Business Intelligence Engineers and Analysts, Data Engineers, and Data Scientists. We take pride in building scalable, reliable, and trustworthy data products that empower our stakeholders to make data-driven decisions to improve the quality of the Fire TV and Alexa products they deliver to customers. We encourage leaders who foster cross-team collaboration and can drive consensus horizontally across teams. We are at our best when we have a deep understanding of how our data directly reflect customer experiences and can be used to surface customer needs.
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 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
Experience in Statistical Analysis packages such as R, SAS and Matlab
Bachelor's degree in sciences, engineering, finance or equivalent
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Fire TV is reshaping the way millions of people watch, engage with, and enjoy entertainment content every day. We are seeking for an experienced Business Intelligence Engineer who is passionate about using data to surface customer insights that will influence the development of new and improved customer experiences on Fire TV. If you enjoy working with cross-functional teams to deliver robust and scalable analytics solutions to address complex problems, and thrive in a fast-paced, changing environment, then this opportunity is for you.
Our ideal candidate is someone who has experience instrumenting metrics and deep diving large and ambiguous datasets, is an expert in data querying languages such as SQL, PySpark, or Python, and has general data wrangling experience with ETL processes. The candidate should also have exemplary communication skills and business acumen, and be comfortable working with partners with varying levels of technical awareness.
Key job responsibilities
• Own the end-to-end delivery of reporting products including:
• Working with product stakeholders to gather
business requirements to define key performance
indicators
• Translating business requirements into
technical requirements that can be used by
software developers and data engineers to build
data pipelines
• Validating data and writing code logic to
instrument metrics
• Designing, implementing, and maintaining
ongoing reporting solutions such as
dashboards to drive key business decisions and
track overall business health and goals
• Performing analyses on large datasets to explain changes in customer engagement and feature performance trends
• Interfacing with other data teams to extract, transform, and load data from a wide variety of data sources
• Recognizing and adopting best practices in reporting and analysis to foster operational excellence (e.g., performing data integrity checks, gaining efficiencies in data processing capabilities, continuously improving reporting and analysis processes, and driving documentation processes)
• Managing multiple projects and proactively communicating to stakeholders status updates and shifts in priorities and objectives
• Contributing to defining the team's data vision and strategy
A day in the life
In this role you will help shape and implement the team's vison for data infrastructure and data models, reporting and deep dive artifacts, and self-serve data tools. You will help develop and maintain team mechanisms that ensure our data products hold a high bar for operational efficacy and accuracy. You will closely collaborate with product, engineering, and partner BI teams to define and instrument key performance indicators for the Fire TV business and ensure that these metrics are aptly represented and understood across orgs.
About the team
Our team is part of the Fire TV Experience org and is comprised of Business Intelligence Engineers and Analysts, Data Engineers, and Data Scientists. We take pride in building scalable, reliable, and trustworthy data products that empower our stakeholders to make data-driven decisions to improve the quality of the Fire TV and Alexa products they deliver to customers. We encourage leaders who foster cross-team collaboration and can drive consensus horizontally across teams. We are at our best when we have a deep understanding of how our data directly reflect customer experiences and can be used to surface customer needs.
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 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
Experience in Statistical Analysis packages such as R, SAS and Matlab
Bachelor's degree in sciences, engineering, finance or equivalent
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.