Joblaze summary

The Business Operations, Analytics Engineer at Decagon focuses on developing data infrastructure that supports strategic decision-making across the organization. This role requires proficiency in Python and SQL, along with experience in building databases and working with complex data sets. Ideal candidates have a background in data roles within fast-paced environments and possess a strong ownership mentality, capable of bridging technical and business needs. The position offers high visibility and collaboration with leadership, contributing to the company's growth and operational efficiency.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 15, 2026. Last confirmed on Decagon's careers page October 31, 2026.
Python appears in 71.6% of 74 comparable mid data engineering roles in United States; Hex appears in 8.1% of 74 comparable mid data engineering roles in United States.

Quick facts

Is the Business Operations, Analytics Engineer role remote?: No — this is an on-site role in San Francisco.
How much experience is required?: At least 3 years of relevant experience for this Business Operations, Analytics Engineer role.
Where is the role based?: Decagon is hiring for this position in San Francisco.
What's the tech stack?: Joblaze extracted these technologies from the posting: ClickHouse, Hex, Looker, Python, SQL.
What seniority level is this role?: Decagon targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Business Operations, Analytics Engineer role at Decagon.

From the original posting

About the Team

The Founder’s Office is a unique and high visibility team whose work spans the entire business, so our Data and Analytics arm presents an opportunity for high ownership, visibility, and impact across the entire company. The team is highly collaborative and works directly with leadership to optimize operations and strategy across company growth strategy, partnerships, pricing, and cost optimizations.

About the Role

In this role, you will be responsible for building 0 to 1 data infrastructure that enables the company to make informed strategic discussions. Specifically, this means working in Python and SQL across multiple databases and parsing through complex Engineering and AI logs to construct trustworthy and reliable datasets that will enable intuitive and confident decision making.

In this role, you will:

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

Your background looks something like this

3+ years of data experience in an early stage or high growth environments, particularly if you worked on a lean data team
Expert in SQL and BI (Hex, Looker or similar), and have experience building tables and databases from scratch
You are an owner and end to end technologist and “do what it takes” mentality. Your work doesn’t begin or end with data pipelines. You can flex into engineering as well as business, from reading our codebase to turning the outputs into key findings for our leaders

Even better if you have

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

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

Standard company text repeated across Decagon's postings is omitted here.

Business Operations, Analytics Engineer

Similar positions