Regal

Data Engineering

AnalyticsEngineer

$0–145k New York, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Analytics Engineer at Regal. Skills: SQL, dbt, Analytics Engineer. Conduct deep dive analysis. develop internal reports”

Industry & Context.

Data Engineering
Problems you'll solve

data discovery; reviewing; refining; iterating on AI-generated code

What They're Looking For.

Must Have

3+ years experience as an analytics engineer, data analyst or management consultant, Fluent writing SQL, using dbt

Nice to Have

Experience with any modern ClickHouse/Snowflake, Comfortable working with Looker or a comparable dashboarding tool

What You'll Do.

Conduct deep dive analysis

develop internal reports

inform key product decisions

inform business decisions

Partner with Forward Deployed Engineers

Partner with AI Product Specialists

provide data-driven insights

inform how AI agents are built

inform how AI agents are tuned

inform how AI agents are evaluated

Inform how key metrics should be calculated

Inform how key metrics should be presented

accelerate data discovery

maintain documentation

documentation of business metrics

documentation of the data model

How You'll Work.

Team & Collaboration

Partner with Forward Deployed Engineers; Partner with AI Product Specialists

Communication Scope

ability to tell a story with data

Full Job Description

## Description ABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue.    Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital.   Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings!   We’re moving fast, and the numbers speak for themselves: - Partnered with enterprise brands like Google, AAA, Ro, Coursera - Raised $82M (top tier investors including Emergence & Homebrew) - Completed 250M+ calls - Driven $7B revenue for customers - Scaled to $## ARR - Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: One of the most exciting parts of Regal is the massive dataset we are building. Our Voice AI agents power millions of real-time customer interactions every day, generating a uniquely deep dataset of behavioral signals, conversation patterns, and outcomes. As a Data Analyst, you won’t just report on this data—you’ll help shape how it’s used to drive smarter decisions across the business.    Your work will directly influence how our platform determines next-best actions, improves agent performance, and continuously evolves the customer experience. You’ll also analyze how human agents interact with our product, uncovering opportunities to improve workflows, inform new feature development, and increase efficiency across both AI and human teams. The insights you generate will play a key role in helping ag

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