Business Operations Analytics Engineer
Decagon is a conversational AI platform for enterprises to build, operate, and optimize customer-facing AI agents across voice, chat, email, SMS, and other channels.
Funding history
Investors
About Decagon
Decagon provides an AI concierge platform for customer experience teams. Its Agent Operating Procedures (AOPs) use natural-language workflows to define agent behavior, while the platform supports agent development, testing, analytics, and omnichannel deployment.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build data infrastructure and reliable datasets using Python and SQL. You will work with engineering to instrument product surfaces, translate business questions into measurable data problems, analyze engineering and AI logs, and improve infrastructure as data volumes grow.
Requirements
- 3+ years of data experience in an early-stage or high-growth environment
- SQL expertise
- Business intelligence tool experience
- Experience building tables and databases from scratch
- Ability to work across engineering and business contexts
Responsibilities
- Build data infrastructure and reliable datasets
- Work with engineering to instrument product surfaces
- Ensure clean event and usage data
- Translate business scenarios into measurable data problems
- Improve data infrastructure as data volumes scale
Benefits
- Medical, dental, and vision benefits for employees and their families
- Life insurance and disability benefits
- Retirement plan
- Parental leave
- Fertility and family-building benefits through Carrot
- Monthly wellness, lifestyle, and work-life balance stipend
- Daily office lunches and snacks
- Flexible vacation policy