Data Analyst Intern

About The Role

We’re looking for a Data Analyst Intern to help turn product and business data into insights that guide decisions for our growing AI-powered recruitment product.

Our product helps recruitment teams streamline CV screening, interviews, and candidate management. In this role, you’ll support product decision-making through data analysis, funnel analysis, experimentation, A/B testing, and performance tracking.

You’ll help the team understand how users interact with the product, identify opportunities for improvement, measure the impact of new features, and translate data into actionable recommendations.

This internship is ideal for a student or fresh graduate who is interested in product management, product analytics, experimentation, and data-driven product development.

What You’ll Do

• Collect, organize, and clean data from approved sources, checking for missing information, duplicates, and inconsistencies.
• Help track metrics such as user registrations, candidate application and interview completion, recruiter activity, and feature usage.
• Analyze user journeys and conversion funnels to identify drop-off points and opportunities for improvement.
• Help Product Managers design and analyze A/B tests and product experiments.
• Assist in defining experiment objectives, hypotheses, success metrics, and target user segments.
• Support reporting on marketing campaigns, events, and Talent Vault sign-ups.
• Create and maintain spreadsheets, dashboards, and recurring reports.
• Summarize findings through clear charts, concise explanations, and practical recommendations.
• Work with relevant teams to clarify data requirements and investigate discrepancies.
• Document data sources, metric definitions, and analysis methods.
• Handle candidate, client, and company data responsibly, following internal confidentiality and access guidelines.
• Work closely with Product, Growth, and Engineering teams to understand data requirements and product questions.
• Support product reviews, feature launches, and post-launch analysis.

What We’re Looking For

• Currently pursuing a degree in Statistics, Mathematics, Data Science, Business, Computer Science, Information Systems, Economics, Industrial Engineering, or a related field.
• Strong interest in product management, product analytics, experimentation, or data-driven product development.
• Comfortable using Microsoft Excel or Google Sheets, including formulas, pivot tables, and charts.
• Basic understanding of data cleaning, descriptive statistics, and data visualization.
• Strong attention to detail and ability to check the accuracy of work.
• Able to explain findings clearly to both technical and nontechnical teammates.
• Curious, organized, and willing to learn through feedback and collaboration.
• Coursework, academic projects, or personal projects involving data analysis are welcome; prior professional experience is not required.

Nice to Have

• 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.

Expected Outputs

During the internship, the intern may contribute to:

• Product and user analytics reports.
• Funnel and user journey analyses.
• A/B test and experimentation analysis.
• Experiment dashboards and tracking sheets.
• Feature performance and adoption reports.
• Product metric definitions and documentation.
• Data-driven recommendations for product improvements.
• Post-launch analysis of new features and product changes.
• Recurring product and growth reports.

What You’ll Gain

• Hands-on experience analyzing data from an AI-powered recruitment product.
• Exposure to product analytics, growth reporting, and recruitment workflows.
• Experience working with cross-functional teams and presenting actionable insights.
• Practical experience supporting A/B tests and data-driven product decisions.
• Exposure to product management, growth, engineering, and recruitment workflows.
• Experience analyzing real user behavior and product funnels.