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ABOUT RING
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 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.
- 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)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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