Analytics Engineer

Regal

Analytics Engineer

Posted 12 Hours Ago

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New York NY USA

Hybrid

120-145K Annually

Mid level

Artificial Intelligence • Marketing Tech • Software • Conversational AI • Generative AI

Transform your customer experience with Voice AI Agents customized for your company

The Role

The Analytics Engineer will analyze large datasets develop reports and dashboards and collaborate with engineers and product specialists to improve AI agents and customer interactions.

Summary Generated by Built In

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 an Analytics Engineer 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 agents spend less time on manual tasks and more time engaging meaningfully with customers.

This role sits at the intersection of data product and AI—where your analysis will directly contribute to building more intelligent systems and better customer experiences at scale.

RESPONSIBILITIES:

Conduct deep dive analysis and develop internal reports and dashboards to inform key product and business decisions
Partner with Forward Deployed Engineers and AI Product Specialists to provide data-driven insights that inform how AI agents are built tuned and evaluated for individual customers
Inform how key metrics should be calculated and presented in the Regal app
Use AI coding agents to accelerate analysis and data discovery
Create and maintain documentation of business metrics and the data model

ABOUT YOU:

3+ years experience as an analytics engineer data analyst or management consultant
Fluent writing SQL and using dbt
Experience with any modern warehouse; ClickHouse/Snowflake are preferred
Comfortable working with Looker or a comparable dashboarding tool
Passionate about data access and empowering others to make decisions with data
Excited to work alongside AI tools - not just using them but improving their outputs by rigorously reviewing refining and iterating on AI-generated code and analyses
Enthusiastic about the fast-paced work environment of an early-stage startup
Excellent communication skills and ability to tell a story with data

BENEFITS/PERKS:

We care about your health!
Medical Dental and Vision plans - 80% covered by the company
Flexible PTO & 11 paid holidays/year
We care about future you!
401k Plan
Paid parental leave
Pre-tax commuter benefits
We care about connection!
In-office breakfast and snacks daily
Happy hours team outings & annual off-sites
Complete laptop workstation
& more to come!

POSITION LOCATION & OFFICE DETAILS:

This position is only available in New York City (HQ- Midtown). Hybrid roles are required in office T/W/TH and office optional M/F.

*If you think you’re missing relevant experience but you’re hungry and a fast learner (and can prove it) we want to hear from you!

Skills Required

3+ years experience as an analytics engineer data analyst or management consultant
Fluent writing SQL and using dbt
Experience with any modern warehouse; ClickHouse/Snowflake are preferred
Comfortable working with Looker or a comparable dashboarding tool

What the Team is Saying

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The Company

HQ: New York NY

80 Employees

Year Founded: 2020

What We Do

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. Our Values Customers are Royalty We serve our customers above all else. If we don’t earn their love someone else will. Fast Execution Wins We work with urgency and speed because by moving forward we learn more about how to solve the problem than by theorizing. Growth Mindset Your learning curve should be as steep as the company’s growth curve. Data Beats Opinion We make decisions based on analysis and data not anecdotes. Enjoy the Journey We bring our whole selves to work and build meaningful friendships. We appreciate and are kind to each other.

Why Work With Us

At Regal every team member makes an impact. We move fast solve complex challenges and build game-changing AI solutions—together. Our culture thrives on fast execution data-driven decisions and continuous learning. If you want to grow be challenged and work with brilliant motivated people Regal is where you want to be.