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Analyze product, user, and business data to identify trends and build dashboards that drive actionable insights. Collaborate with product and engineering teams to define metrics, track experiments, and improve data infrastructure.
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.
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
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
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
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
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