🛠 Tech Stack

💼 About This Role

You'll serve as the analytical engine behind smarter, faster decision-making across the business, owning the full lifecycle of insight delivery. You'll drive deep-dive analyses across revenue, product, customer, and operations. You'll establish metric definitions and reporting standards that scale with the function, leveraging AI tools to eliminate manual toil.

🎯 What You'll Do

• Own and develop dashboards, reports, and self-serve analytics.
• Conduct deep-dive analyses across revenue, product, and customer areas.
• Partner with Data Engineering to define metrics and validate data quality.
• Translate ambiguous business questions into structured analytical frameworks.

📋 Requirements

• 2–5 years in a data analyst role, preferably in SaaS.
• Advanced proficiency in SQL with cloud data warehouse experience.
• Experience with BI tools like Sigma, Looker, Tableau, or Power BI.
• Degree in Data Analytics, Statistics, Economics, Business, or Computer Science.

✨ Nice to Have

• Experience with Python or R for analysis.
• Familiarity with DBT or similar data modeling tools.
• Experience working with go-to-market, finance, or product data.

🎁 Benefits & Perks

• 🏖️ Three weeks vacation starting year one.
• 🏥 Wellness days and holidays to recharge.
• 👶 Parental leave and generous benefits package.
• 💻 Monthly tech stipend.
• 📈 Recognition and career development opportunities.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min