We’re looking for a Data Analyst to help us understand our products, users, and growth through data.

You’ll work closely with product, engineering, and business teams to turn raw data into clear insights and actionable decisions. You’ll help us understand what users are doing, identify opportunities, measure experiments, and build the analytics infrastructure needed as our products grow.

You’ll have high ownership, work across different products, and help answer important questions from idea to launch.

What you’ll do

• Analyze product, user, and business data to identify trends and opportunities

• Build dashboards and reports that help the team make better decisions

• Define and track key product and business metrics

• Write SQL queries to extract, clean, and analyze data

• Analyze user behavior, engagement, retention, and conversion

• Support product experiments and A/B testing

• Measure the impact of new features and product changes

• Build and maintain recurring analytics and reporting

• Work with product and engineering teams to improve data collection and tracking

• Identify data quality issues and improve the reliability of analytics

• Turn complex analysis into simple, actionable insights

• Prototype new ways to understand product and user behavior

• Help build a data-driven culture across the company

What we’re looking for

• Strong SQL skills

• Strong analytical and problem-solving skills

• Experience working with product, business, or user data

• Experience with data visualization and dashboards

• Good understanding of statistics and data analysis

• Ability to work with large and messy datasets

• Strong attention to detail

• Ability to communicate insights clearly to non-technical teams

• Comfortable working independently and taking ownership

• Curiosity about why users behave the way they do

• Someone who enjoys working in an early-stage, fast-moving environment

Nice to have

• Experience with Python for data analysis

• Experience with PostgreSQL, MySQL, or similar databases

• Experience with tools such as Metabase, Mixpanel, Amplitude, Looker, or Tableau

• Experience with product analytics

• Experience running or analyzing A/B tests

• Experience with statistics or experimentation

• Experience working with APIs or data pipelines

• Experience analyzing AI or SaaS products

• Experience with startups or consumer internet products

• Personal projects, dashboards, or data analysis work

What you’ll get

• Fully remote

• High ownership

• Work directly on new products from day one

• Small, fast-moving team

• Close collaboration with product, engineering, and design

• Freedom to experiment and explore new ideas

• Exposure to multiple products and business models

• The opportunity to work with real product and user data

• The opportunity to turn data into decisions that directly shape products