Intern

About ConvertPolo

ConvertPolo helps ecommerce, D2C, and lead generation businesses turn more visitors into customers through research, data analysis, UX improvements, and experimentation. They work across the CRO process—from identifying opportunities to designing, developing, and evaluating A/B tests.

About the Role

ConvertPolo is looking for an analytical, curious intern who enjoys working with data and exploring how AI can improve everyday work. The intern will help the CRO team understand customer behaviour, identify conversion opportunities, and evaluate experiments. They will also help build and document AI workflows that make research, analysis, and reporting more efficient. This role combines hands-on analysis with practical AI implementation, with guidance from the team.

What you’ll work on

• Conversion data analysis
• Analyze website funnels, product pages, landing pages, and checkout journeys to identify conversion drop-offs.
• Segment performance by device, traffic source, customer type, and product category.
• Track metrics such as conversion rate, add-to-cart rate, checkout completion, average order value, and revenue per visitor.
• Support A/B test reporting by checking data, comparing variations, and summarizing findings.
• Review heatmaps, session recordings, surveys, and customer feedback to explain the behaviour behind the numbers.
• Turn findings into clear observations and testable hypotheses for the CRO team.
• AI enablement
• Identify recurring tasks where AI can save time or improve output quality.
• Help create reusable prompts and workflows for research, feedback analysis, hypothesis development, and reporting.
• Support simple automations connecting spreadsheets, documents, and other team tools.
• Validate AI outputs against source data, checking calculations, claims, and conclusions.
• Document working processes and help teammates adopt them.
• Follow client confidentiality and data-handling requirements when using AI tools.

What we’re looking for

• A student or recent graduate in analytics, statistics, economics, engineering, business, or a related field. Relevant projects matter more than your degree.
• Comfort with Excel or Google Sheets, including formulas, pivot tables, charts, and data cleaning.
• Basic understanding of percentages, averages, sample sizes, and the difference between correlation and causation.
• Hands-on familiarity with AI tools such as ChatGPT, Claude, or Gemini.
• Strong attention to detail and the ability to explain findings clearly.
• Curiosity about ecommerce, customer behaviour, and experimentation.
• Ownership, willingness to learn, and comfort asking questions when something is unclear.

Good to have

Exposure to any of these is a plus:

• Google Analytics 4, Google Tag Manager, or Looker Studio.
• Microsoft Clarity, Hotjar, VWO, or similar analytics and experimentation tools.
• SQL or Python for data analysis.
• Make, Zapier, or n8n for workflow automation.
• Personal projects involving dashboards, website analysis, or AI workflows.