Quantum Labs with 9 jobs · Website ↗
Data Engineer (Data & Analytics)
Description
Intro
As a Data Engineer at Quantum Labs, you'll join a Data & Analytics team that cares about doing the work well, not just doing it fast.
You'll work closely with partners across the company, contributing to decisions that shape both the team and the product.
You'll work closely with partners across the company, contributing to decisions that shape both the team and the product.
About the team
The team is a mix of senior and mid-level practitioners who collaborate daily and review each other's work closely.
The team is a mix of senior and mid-level practitioners who collaborate daily and review each other's work closely.
Candidate Responsibilities
- Write and optimize complex SQL queries
- Partner with stakeholders to define metrics and KPIs
- Build and maintain dashboards for key business metrics
- Design and run experiments to inform product decisions
- Build and maintain data pipelines
Candidate Profile
- 3+ years of experience in a data-focused role
- Strong SQL skills
- Experience with a BI tool (Looker, Tableau, or similar)
- Comfort working with large, messy datasets
Nice to have
- Familiarity with data warehouse tools (BigQuery, Snowflake)
- Experience with experimentation/A-B testing frameworks
- Experience with Python or R for analysis
Recruiting Process
Our hiring process starts with a short online screening test tied to this posting — usually under 29 minutes — so you can demonstrate your skills directly instead of relying on a generic application.
If you pass the test(s) attached to this role, your application moves straight to our hiring team for review, typically within 4 business days.
From there, expect two to three conversations with the team and hiring manager, followed by a decision and offer. We aim to keep the whole process under 4 weeks from start to finish.
Screening tests
SQL & Data Analysis Fundamentals Assessment
19 min
Product Management & Agile Fundamentals Assessment
27 min
Sales Process & Negotiation Fundamentals Assessment
28 min
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