Data Analyst Intern supporting an AI-powered recruitment product by turning product and business data into insights that guide decisions across Product, Growth, and Engineering.

Responsibilities

Data preparation: collect, organize, and clean approved datasets; check missing, duplicates, inconsistencies.
Metrics tracking: monitor registrations, application/interview completion, recruiter activity, and feature usage.
Funnel analysis: analyze user journeys and conversion funnels to find drop-offs and improvements.
Experimentation support: assist Product Managers with A/B tests and product experiments analysis.
Experiment design support: help define objectives, hypotheses, success metrics, and target segments.
Reporting support: report on marketing campaigns, events, and Talent Vault sign-ups.
Dashboards and documentation: create dashboards, summarize findings, and document sources, metrics, methods.

Required Qualifications

Currently pursuing a degree in Statistics, Mathematics, Data Science, Business, CS, or related field.
Strong interest in product management, product analytics, experimentation, or data-driven product development.
Comfortable with Microsoft Excel or Google Sheets: formulas, pivot tables, and charts.
Basic understanding of data cleaning, descriptive statistics, and data visualization.
Strong attention to detail; verify accuracy of work and data.
Ability to explain findings clearly to technical and nontechnical teammates.
Curious, organized, and willing to learn through feedback and collaboration.

Preferred Qualifications

Exposure to product analytics or experimentation tools.
Familiarity with A/B testing, statistical significance, hypothesis testing, or experiment design.
Experience analyzing user funnels, cohorts, retention, or feature adoption.
Interest in recruitment technology, AI products, or product analytics.