Business Operations, Analytics Engineer

The role

You will build 0 to 1 data infrastructure to enable strategic discussions. You will work in Python and SQL across multiple databases and parse complex Engineering and AI logs to construct datasets.

What you will do

• Partner with engineering to instrument new product surfaces and ensure clean, reliable event and usage data
• Translate ambiguous business scenarios into measurable data problems spanning Growth, GTM, Pricing, Deals Desk, Strategic Finance, and Product
• Continuously improve data infrastructure as the company and data volumes scale

Required qualifications

• 3+ years of data experience in an early stage or high growth environments
• Expert in SQL and BI (Hex, Looker or similar)
• Experience building tables and databases from scratch
• Owner and end to end technologist
• Do what it takes mentality

Nice to have

• Experience with Clickhouse and CDC
• Built custom data connectors and webhooks
• Optimized database and query performance

Benefits

• Medical, Dental, and Vision benefits for you and your family
• Life Insurance and Disability Benefits
• Retirement Plan (e.g., 401K, pension)
• Parental Leave
• Fertility and family building benefits through Carrot
• Monthly stipend to support your wellness, lifestyle, and work-life balance
• Daily lunches and snacks in the office
• Take what you need vacation policy

About the company

Decagon is a conversational AI platform that enables enterprises to deploy AI agents across various channels. The company is an in-office company driven by values like Just Get It Done and The Polymath Principle.