Consumer Operations Data Analyst Intern

You will build and maintain Python scripts and automation pipelines to reduce manual work across customer support, fraud, and trust and safety operations. You will monitor automations, run ad-hoc analyses, build dashboards, set up alerting, translate data into clear recommendations, and document solutions for handover.

Responsibilities

Build and maintain Python scripts to automate manual tasks
Design and deploy workflow automation pipelines ensuring scalability and reliability
Monitor deployed automations and resolve failures proactively
Conduct ad-hoc data analyses on operational metrics including anomaly detection and resolution time trends
Build and maintain dashboards providing real-time visibility into key performance indicators
Set up alerting systems to surface operational issues
Translate complex data outputs into concise actionable recommendations for non-technical colleagues
Scope and prioritize data projects with the Trust & Safety Manager based on operational impact
Document automation workflows and analytical methodologies

Requirements

Currently enrolled in an engineering, computer science, data, or statistics program and seeking a final-year internship
Proficient in SQL with ability to write complex queries against large operational datasets
Proficient in Python for data manipulation, scripting, and automation
Able to take projects end-to-end from scoping to building monitoring and documentation
Strong analytical mindset with focus on root cause analysis
Fluent in English
Fluent in French
Experience with API integrations or workflow automation platforms (n8n, Make, Zapier) is a plus
Interest in cryptocurrency, blockchain, or the Web3 ecosystem is a plus

Benefits

Unlimited vacation policy
Unlimited books policy
Apple equipment
Learning and development opportunities
Meaningful equity
Work from Anywhere Policy allowing up to 20 days remote work per year