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 Ring
Since its founding in 2013, Ring has been on a mission to make neighborhoods safer. From the first-ever video doorbell, to the award-winning DIY Ring Alarm system, Ring’s smart home security product line, as well as the Neighbors app, offer users affordable whole-home and neighborhood security. At Ring, we are committed to making home and neighborhood security accessible and effective for everyone -- while working hard to bring communities together. Ring is an Amazon company. For more information, visit www.ring.com. With Ring, you’re always home.
Ring is looking for an insightful and analytical Business Intelligence Engineer with strong business and technical skills to join our Business Intelligence team. In this role, you will partner with product management, engineering, quality assurance and other BI teams that power Ring. Your work will be instrumental to achieving its mission, be highly visible to Ring / Amazon leadership, and will drive key strategic company goals.
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
* nable 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 communicates issues, priorities, and objectives
* 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 BI architects to provide valuable inputs to remodel the existing data warehouse.
About the team
The Ring Data Science and Engineering (RDSE) Org is responsible for the data strategy, architecture, governance, science, and software services Ring teams use to inform business strategy or power experiences with data. The central Data Science and Analytics team (within RDSE and the team where this role is based) is responsible for core business metrics, shared data models, AI/ML models, business intelligence dashboards, and business analysis/science support.
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Knowledge of data warehousing and data modeling
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience building measures and metrics, and developing reporting solutions
- Experience with data visualization using Tableau, Quicksight, or similar tools
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