Data Intern – Product Analytics

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Collaborate with members of the Product Analytics and Data Science teams alongside product partners to establish questions, success metrics, and measurement strategies.

• Examine product usage and telemetry data to uncover trends, opportunities, and areas for enhancement.

• Share insights through written analyses, presentations, and recommendations tailored for both product and cross-functional teams.

• Develop or refine dashboards, reports, and self-service analyses utilizing SQL, Looker, Amplitude, and Hex.

• Ensure data quality and validate telemetry to guarantee that product data is trustworthy and comprehensible.

⛳️ Requirements

• Must be currently enrolled at an educational institution (e.g., college, university, bootcamp).

• Residency and legal authorization to work in the United States or Canada are required.

• Confidence: A readiness to embrace new challenges and follow them through to completion.

• Humility: Willingness to ask questions and acknowledge mistakes, as long as there is a commitment to learning from them.

• Curiosity: A drive to seek out improved methods and solutions.

• Teamwork: A collaborative spirit that emphasizes collective success.

• Basic knowledge of machine learning or advanced statistical techniques is advantageous.

• Familiarity with SQL is considered a plus.

• Experience in using Python or R for data analysis is a beneficial asset.

• Knowledge of product analytics or business intelligence tools such as Amplitude, Looker, or Hex is a bonus.

• Coursework or practical experience in statistics, experimentation, or A/B testing is favorable.

• Successful candidates will need to undergo a background check.

🏝️ Benefits

• Generous paid time off policy - 2.08 days per month (equivalent to 1.5 working weeks per 4-month term).

• Company-wide wellness days (one per quarter).

• Employee-driven inclusion and belonging initiatives and ERGs.

• Remote-first working environment.

• Recognition among peers through Bonusly.

• Access to 1Password University and associated learning sessions.

• Monthly events and social gatherings for interns.

• Opportunities for travel to engage in person, including annual department-wide offsites, team meetings, and customer or industry events.