Data Analyst

handoff Brazil
Relocation
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AI Summary

We're looking for a Data Analyst to help turn data into clear, actionable insights that drive product and business decisions. This role sits at the intersection of Product, Engineering, and GTM, partnering closely with teams to define metrics, analyze user behavior, and support experiments with real impact. The ideal candidate will have strong SQL expertise, experience building dashboards, and solid product and business intuition.

Key Highlights
Analyze product usage, funnels, retention, and business performance
Build, own, and iterate on dashboards
Support product and growth experiments
Key Responsibilities
Write and maintain high-quality SQL queries
Build, own, and iterate on dashboards
Support product and growth experiments
Translate ambiguous questions into structured analyses and clear, actionable recommendations
Technical Skills Required
SQL Looker Metabase Tableau Power BI
Benefits & Perks
Competitive salary in USD
Attractive stock options
Unlimited PTO
Relocation allowance
Top-notch equipment
Team offsites around the world

Job Description


Why join us?

Handoff is the AI agent that runs a construction company. We help remodelers automate estimating, streamline operations, and win more work - backed by real-time cost data, intuitive design, and workflows that “speak contractor.” With over 10,000 monthly active users and $6B in annualized project volume already flowing through our platform, we’re becoming the trusted partner for the people who build our homes.

We are backed by $25M+ raised from Y Combinator, Initialized, and Greycroft. Our team is distributed across hubs in Austin, São Paulo, and Buenos Aires, and we are deeply focused on building intuitive, high-impact solutions that make a real difference for our users.

Data Analyst at Handoff

We’re looking for a Data Analyst to help turn data into clear, actionable insights that drive product and business decisions. This role sits at the intersection of Product, Engineering, and GTM, partnering closely with teams to define metrics, analyze user behavior, and support experiments with real impact.

This is not a “just build dashboards” role. We’re looking for someone who’s curious, analytical, and comfortable owning questions from problem definition through insight and recommendation.

What you'll do

  • Write and maintain high-quality SQL queries to analyze product usage, funnels, retention, and business performance
  • Build, own, and iterate on dashboards that track core product, growth, and operational metrics
  • Support product and growth experiments by defining hypotheses, success metrics, and post-experiment analysis
  • Translate ambiguous questions into structured analyses and clear, actionable recommendations
  • Work closely with Data Engineering to validate data sources, improve data quality, and ensure metric consistency
  • Document metrics, dashboards, and analytical assumptions to build long-term trust and shared understanding
  • Present insights clearly to technical and non-technical stakeholders, focusing on impact and decision-making


About You

  • 4+ years of experience in data analytics or related roles
  • Strong SQL expertise with experience tuning queries and designing efficient schemas
  • Experience building dashboards and visualizations using tools like Looker, Metabase, Tableau, Power BI, or similar
  • Ability to break down ambiguous problems into clear questions, metrics, and analyses
  • Solid product and business intuition, understands how user behavior connects to outcomes
  • Strong communication skills, able to explain insights clearly and concisely
  • Comfort working cross-functionally with Product, Engineering, and GTM teams
  • Comfort working in a fast-paced environment with evolving data models


What We Offer

  • 💸 Competitive salary in USD
  • 💰 Attractive stock options
  • 🌴 Unlimited PTO
  • 🚛 Relocation allowance
  • 👨‍💻 Top-notch equipment
  • 🧳 Team offsites around the world - we've already been to more than 5 countries!


If you enjoy turning ambiguous questions into clear insights and want to influence decisions that affect customers daily, we’d love to hear from you.

Please note that we will only consider applications submitted in English.

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