DESCRIPTION

Job summary
Ring’s Community Support Ops Excellence Team is seeking Business Intel Engineers to support insight generation, analytical solution building and generate visualizations. This is an opportunity to help shape the business direction and analytical model of a rapidly growing organization with a growing global impact.

Key job responsibilities
The key responsibilities include analyzing data qualities using statistical methods, visualizing data using Tableau, QuickSight or by writing your own scripts in Python, devising methodologies to determine data accuracy and coverage.

A day in the life
As Business Intel Engineer, you will interact with Ring Devices platforms and datasets, understand the process flow and create various visualizations to report the data into actionable insights. You will be interacting with various teams who deal with different ecosystems of the Ring Devices, and bring together all the data together to create lifecycle, experience and journey metrics of our customers and CS associates. The problem statements have lot of opportunities for experimentation and business value addition.

About the team
Ring’s mission is to help make neighborhoods safer. We believe that stronger communities are key to safer neighborhoods. That’s why we’re driven to create products that help customers protect what matters most at home and empower them to connect with their neighbors

BASIC QUALIFICATIONS

B.S. degree in mathematics, statistics, computer science, finance, or a similar quantitative field
5+ years work experience in BIE in a big data environment
Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C/Python) and/or a scripting language (Perl, Unix shell) to process data for modeling
Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models
Ability to create usable tools in Tableau or similar program that allows others to fish for themselves

PREFERRED QUALIFICATIONS

Master’s or advanced technical degree with 5+ years of relevant experience in a business intelligence engineering role, including data warehousing and business intelligence tools, techniques and technology, and business analysis
Expertise in Statistical Analysis using Python, R, or Matlab
Experience with BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools)
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets
Ability to deal with ambiguity in a fast-paced environment
Excellent verbal/written communication skills and data presentation skills
Working knowledge in financial data and supply chain management is a plus