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Junior Data Analyst

Samuel Torres

Full-time · Junior · Chicago

About the role

We make project management software for architecture firms. It's not the most glamorous product category in tech, but architecture practices are genuinely underserved by good software, and the firms that use us tell us it changes how they run their business. We have about 4,000 paying customers, a small data team of three, and a pipeline full of product questions we don't have enough analytical bandwidth to answer. Which features predict whether a trial converts to a paid plan? Which usage patterns appear in the weeks before a customer churns? Are firms in certain geographies using the product differently, and does that suggest a localisation opportunity? These are answerable questions. We just need someone with good SQL, genuine curiosity, and enough Python to pull and explore data without needing a senior analyst to set everything up each time. If you've just graduated, just finished a bootcamp, or completed a personal project involving real data analysis, we'd like to hear from you. The role is junior. The questions are real.

Responsibilities

  • Answer ad-hoc product questions with SQL queries and written summaries for the product and growth teams
  • Build and maintain dashboards for product, sales, and customer success
  • Conduct cohort analysis on trial conversion and customer churn with senior guidance
  • Clean and validate data from multiple sources: product database, Stripe, and third-party integrations
  • Work with senior analysts to scope, execute, and present longer analytical projects

Requirements

  • SQL you can write from scratch — joins, aggregations, GROUP BY, window functions — without a template
  • Python for data work: Pandas, Matplotlib, basic exploratory analysis
  • Basic statistics you actually understand: what a conversion rate is, why sample size matters, and what a confidence interval tells you
  • Any experience with a BI tool — Looker, Tableau, Power BI, or even Google Data Studio
  • Clear written communication — your analysis summaries should be readable by a non-technical product manager
  • A personal project, university thesis, or any analytical work you can walk through in an interview

Benefits

  • Small team, real ownership of analytical questions from your first week
  • Full remote
  • $52,000 – $67,000 base salary
  • $500 annual learning budget
  • Genuine junior-level expectations — we ask what you know and teach what you don't

Job Type

Full-time

Level

Junior

Language

English

Salary Range

$52,000 – $67,000

AI Expertise

data science & analytics

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