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About Ring
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.
- 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
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