Amazon
Business Intelligence Engineer, Ring Data Science and Engineering
Amazon, Indiana, Pennsylvania, us, 15705
Business Intelligence Engineer, Ring Data Science and Engineering
Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important?ABOUT RINGWe started in a garage in 2012 when our founder asked a simple question: what if you could answer the front door from your phone? What if you could be there without needing to actually, you know, be there? After many late nights and endless tinkering, our first Video Doorbell was born.
That invention has grown into over a decade of groundbreaking products and next-level features. And at the core of all that, everything we’ve done and everything we’ve yet to build, is that same inventor's spirit and drive to bridge the distance between people and what they care about. Whatever it is, at Ring we’re committed to helping you be there for it.The Business Intelligence Engineer, Ring Data Science and Engineering BI team will develop models and tools, conduct statistical analyses, evaluate large data sets, and create tailored models and dashboards. Additionally, you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will be structuring ambiguous problems and designing analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements to marketing campaign optimization, customer servicing trending, and competitive research.Key job responsibilities
Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format.Work with the iOS and Android development and product teams to identify gaps and trends.Analyze large data sets using a variety of database query and visualization tools.Provide technical expertise in extracting, integrating, and analyzing critical data.Anticipate, identify, structure, and solve critical problems.Design and develop key performance metrics and indicators using standardized and custom reports.Perform ad hoc analysis to quickly solve time-sensitive operational issues and business cases.Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base.Partner with subject matter experts to document and translate business requirements into technical requirements.Manage multiple projects and proactively communicate issues, priorities, and objectives.Partner with BI architects to provide valuable inputs to remodel the existing data warehouse.BASIC QUALIFICATIONS
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.- Experience with data visualization using Tableau, Quicksight, or similar tools.- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).- Experience with scripting language (e.g., Python, Java, or R).PREFERRED QUALIFICATIONS
- Master's degree, or Advanced technical degree.- Knowledge of data modeling and data pipeline design.- Experience with statistical analysis, co-relation analysis.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.
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Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important?ABOUT RINGWe started in a garage in 2012 when our founder asked a simple question: what if you could answer the front door from your phone? What if you could be there without needing to actually, you know, be there? After many late nights and endless tinkering, our first Video Doorbell was born.
That invention has grown into over a decade of groundbreaking products and next-level features. And at the core of all that, everything we’ve done and everything we’ve yet to build, is that same inventor's spirit and drive to bridge the distance between people and what they care about. Whatever it is, at Ring we’re committed to helping you be there for it.The Business Intelligence Engineer, Ring Data Science and Engineering BI team will develop models and tools, conduct statistical analyses, evaluate large data sets, and create tailored models and dashboards. Additionally, you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will be structuring ambiguous problems and designing analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements to marketing campaign optimization, customer servicing trending, and competitive research.Key job responsibilities
Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format.Work with the iOS and Android development and product teams to identify gaps and trends.Analyze large data sets using a variety of database query and visualization tools.Provide technical expertise in extracting, integrating, and analyzing critical data.Anticipate, identify, structure, and solve critical problems.Design and develop key performance metrics and indicators using standardized and custom reports.Perform ad hoc analysis to quickly solve time-sensitive operational issues and business cases.Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base.Partner with subject matter experts to document and translate business requirements into technical requirements.Manage multiple projects and proactively communicate issues, priorities, and objectives.Partner with BI architects to provide valuable inputs to remodel the existing data warehouse.BASIC QUALIFICATIONS
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.- Experience with data visualization using Tableau, Quicksight, or similar tools.- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).- Experience with scripting language (e.g., Python, Java, or R).PREFERRED QUALIFICATIONS
- Master's degree, or Advanced technical degree.- Knowledge of data modeling and data pipeline design.- Experience with statistical analysis, co-relation analysis.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.
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