Analytics Data Engineer

About Happyrobot

HappyRobot is a platform to build and deploy AI workers that automate communication. See a demo

Our AI workers connect to any system or data source to handle phone calls, email, messages…

We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.

We’re thrilled to share that with our $44M Series B, HappyRobot has now raised a total of $62M — backed by leading investors who believe in our mission and vision for the future.

We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.

About the Role

• Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.

• Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.

• Build and maintain robust data pipelines and models to ensure data quality.

• Partner with Product, Engineering, and Design teams to inform decisions.

• Translate complex data into clear, actionable insights for product teams.

• Love working with data. Love making product better. Love finding the story behind the numbers.

Responsibilities

• Define, build, and maintain product metrics, dashboards, and pipelines.

• Write SQL and Python code to extract, transform, and analyze data.

• Design and run experiments (A/B tests) to support product development.

• Proactively explore data to identify product opportunities and insights.

• Collaborate with cross-functional teams to ensure data-driven decisions.

• Ensure data quality, reliability, and documentation across analytics efforts.

Must Have

• 3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.

• Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).

• Advanced analytics experience: segmentation and cohort analysis.

• Proficiency in Python for data analysis and modeling.

• Excellent communication skills: able to explain complex data insights clearly.

• Curious, collaborative, and driven to make an impact in a fast-paced environment.

Nice to Have

• Experience in B2B SaaS or AI/ML products.

• Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).

• Exposure to machine learning concepts or AI-powered systems.

Why join us?

• Opportunity to work at a high-growth AI startup, backed by top investors.

• Fast Growth - Backed by a16z and YC, on track for double-digit ARR.

• Ownership & Autonomy - Take full ownership of projects and ship fast.

• Top-Tier Compensation - Competitive salary + equity in a high-growth startup.

• Comprehensive Benefits - Healthcare, dental, vision coverage.

• Work With the Best - Join a world-class team of engineers and builders.

Our Operating Principles

Extreme Ownership

We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.

Craftsmanship

Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling f