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Business Operations, Analytics Engineer

Build data infrastructure to support strategic decision-making in a high-impact role at Decagon.

Location
San Francisco, United States
Compensation
Not disclosed
Level
mid
Type
full time · On-site

Posted by employer 12 hours ago

First seen on Joblaze 5 hours ago

Last verified on the company career page 5 hours ago

Apply at Decagon → Save job Scanned from decagon.ai

Skills & Technologies

What you'll build

  • Build data infrastructure
  • Partner with engineering
  • Translate business scenarios into data problems
  • Improve data infrastructure
  • Work with complex Engineering and AI logs

Must have

  • 3+ years of data experience
  • Expert in SQL
  • Experience with BI tools
  • End to end technologist mentality

Nice to have

  • Experience with Clickhouse
  • Built custom data connectors
  • Optimized database performance

Requirements

Experience
3+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

Take what you need vacation policy Daily lunches and snacks Retirement Plan Disability benefits Wellness Stipend Fertility and family building benefits Health Insurance Parental Leave Life Insurance

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

Quick facts

Is the Business Operations, Analytics Engineer role remote?
No — this is an on-site role in San Francisco, United States.
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, United States.
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 Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

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

Benefits

We proudly offer the following benefits for our full-time employees:

  • 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 to keep you at your best

  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

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