Business Intelligence Engineer, Ring

The Ring Data Science Insights and Innovation (CS DSII) Team aims to provide analytics and reporting at an enterprise level to help reduce operational costs and drive profitable growth. The primary role for the Business Intelligence Engineer is to provide technical and business expertise in integrating data from a variety of source systems and presenting it through an array of self-service applications. The BI Engineer will support all development efforts as well as the creation of interactive dashboards and data visualizations that are widely used throughout the organization. Additionally, the BI Engineer will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics.

Key job responsibilities
- Analyze large customer data sets using a variety of database query and visualization tools
- Create end-to-end source of truth data assets in the enterprise data warehouse
- Partner with key stakeholders to document and translate business requirements into technical requirements
- Produce and present daily, weekly and monthly customer focused executive reporting
- Design and develop key performance metrics and indicators
- Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases
- Develop an in-depth understanding and interpretation of all data contained within the various data warehouses
- 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
- Provide technical expertise in extracting, integrating, and analyzing customer critical data
- Architect technical solutions for new and existing reporting processes based on technical requirements, including table/view/package/ETL and report design across multiple source systems
- Ensure technical solutions are scalable and easily adaptable to change


About the team
The CS Data Science Insights and Innovation team supports data engineering, reporting, and data science innovation for the customer support organization of Ring. We are a fast paced, highly technical team with diverse skills that help create connective tissue between Ring data and business value.

We are open to hiring candidates to work out of one of the following locations:

Virtual Location - AZ | Virtual Location - FL | Virtual Location - GA | Virtual Location - NC | Virtual Location - PA | Virtual Location - SC | Virtual Location - TX

Basic Qualifications

- 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

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 https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.