Business Analytics Intern

House of ROI is hiring a Business Analytics Intern for the Winter 2027 term to analyze live client accounts and evaluate marketing performance and financial outcomes. The role supports reporting, unit economics, forecasting, experimentation, and data quality, translating analysis into concise client-ready recommendations.

Responsibilities:

• Analyze revenue and performance data across channels, funnels, and accounts to establish what drove growth, what didn't, and what it cost
• Build unit economics views (CAC, LTV, payback period, margin, ROAS) and flag where spend stops earning its keep
• Build dashboards and reports in Looker Studio, Sheets, Excel, or similar that executives can read without a guided tour
• Run cohort, funnel, and attribution analysis, and QA tracking and data integrity across ad platforms, analytics, and CRM
• Support forecasting and budget allocation models: scenarios, sensitivities, and what-if cases
• Evaluate test results and say whether the lift is real or just noise
• Clean and reconcile messy data from multiple sources
• Write up findings as concise, client-ready summaries that lead with a recommendation, not a data dump
• Put AI tools to work in analysis and reporting, and verify before trusting

Requirements:

• or in your final year of undergrad
• Demonstrated analytical work through internships, coursework, or projects in business, finance, economics, or marketing analytics
• Strong spreadsheet skills (pivots, lookups, modeling)
• Working grasp of business metrics: revenue, margin, conversion, CAC, LTV, ROAS
• Statistical common sense: you know signal from noise and correlation from causation
• Able to turn data into plain-English conclusions at a high standard of business communication
• A critical thinker who does not accept "the dashboard says so" as an argument
• Meticulous. One bad join can turn a tidy chart into a confident lie
• Commercially minded: you ask what it costs and what it returns before you ask what it looks like
• Curious, self-directed, and motivated
• Authorized to work in the US
• Graduate student (MBA, MS in finance, analytics, or similar)
• SQL a plus
• familiarity with a BI tool (Looker Studio, Tableau, Power BI) a plus