Analytics Engineer

The company is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.

We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies.

The company is looking for an Analytics Engineer to support our team.

This role will be a key part of the operations team, using the disparate data sources we have on our customer base, customer onboarding, and community intelligence to better understand our users, their needs and what we should do to better help our customers.

Things you'll do

• Iteratively refine our data, build models and help spread data throughout the team to enable self-service analytics
• Organize our datasets and do complex transforms using SQL & Python.
• Dig into data, answer questions
• Teach the others on your team to fish
• Collaborate day to day with business users, designers, product managers and engineers
• A bit of everything from data ingestion, modeling, analysis, science, and story telling.

Things we're looking for

• Strong data modeling or integration skills
• Extremely strong coding skills using SQL (100+ lines of complex SQL queries/models) or Python (1k+ lines of OOP scripts)
• Fluency in expressing business processes using models and charts
• 5+ years as an analytics engineer, data analyst, data scientist, data engineer or similar role
• BS in CS/CE, Math, Economics or equivalent technical degree preferred
• Experience a plus: B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), LLM/AI
• Candidates who operate in UTC-3 -- UTC-8

Compensation

The US base salary range for this role is $95.4K–$190K annually, plus equity and benefits.

Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors.

Benefits

We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment.

We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.

For U.S. applicants: the company participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.

E-Verify Participation Notice (English/Spanish)

Right to Work Notice (English/Spanish)