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Business Intelligence Engineer
1 month ago
Ring is seeking a highly skilled Business Intelligence Engineer to join our growing team. As a key member of our organization, you will work closely with executive, product management, engineering, finance, logistics, sales, and marketing teams to drive strategic company goals.
Key Responsibilities:
- Conduct in-depth analyses from multiple sources to present research in a clear and actionable format.
- Analyze large data sets using various query and visualization tools.
- Provide technical expertise in integrating and analyzing critical data.
- Anticipate, identify, structure, and solve complex 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.
- Provide mentorship and coaching for embedded analysts and other business teams.
- Clearly communicate any potential discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base.
- Work with subject matter experts to document and translate business requirements into technical requirements.
- Manage multiple projects and proactively communicate issues, priorities, and objectives.
About the Team
The RSS BI Team is focused on providing end-to-end data solutions for Ring subscriptions and product teams. Our goal is to provide data-driven solutions that will help our subscription and product teams roll out best-in-class services for our customers.
Requirements
- 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 in Statistical Analysis packages such as R, SAS, and Matlab.
- 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.
What We Offer
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.
Compensation
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.