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JOB OPPORTUNITY

Revenue Operations Intern

Owlera

LocationEgypt
Job TypePart-time
Work ModeN/A
SalaryNot specified
Posted

JOBLYIN SUMMARY

Job Overview

This position is offered by Owlera, in Egypt, as a Part-time role. The job details and listed requirements below are based on the original job posting.

COMPANY PROFILE

About the Company

AIThis summary was prepared with the assistance of AI based on available information and may not reflect all details about the company.

Owlera appears to be involved in financial operations, likely offering accounting services or supporting business processes.

ORIGINAL JOB DESCRIPTION

About the Job

📝 Revenue Operations Intern (Unpaid) ⚠️ Applications will only be accepted through the following site: 👉 www.owlera.site About Owlera Owlera is an AI-powered career platform that helps students and fresh graduates gain practical experience through internship simulations inspired by real companies. Participants work on realistic business challenges, receive AI-powered feedback, use modern professional tools, and build portfolio-ready projects that demonstrate their abilities to future employers. We're looking for analytical, process-driven students to join our Revenue Operations Internship and gain hands-on experience connecting marketing, sales, and customer success — from pipeline analytics and forecasting to the systems that make revenue predictable. About the Internship As a Revenue Operations Intern, you'll work on realistic revenue operations challenges involving pipeline analysis, CRM data hygiene, sales forecasting, funnel conversion, and revenue reporting. You'll learn how revenue teams turn scattered data and disconnected tools into one clear operating system — so leadership always knows where the next dollar is coming from. Responsibilities * Analyze mock sales pipeline data to identify health, gaps, and at-risk deals. * Build pipeline coverage dashboards showing pipeline vs. revenue target. * Clean and standardize mock CRM records (duplicates, missing fields, stale stages). * Build funnel conversion reports from lead to closed-won for a practice company. * Draft stage-entry/exit criteria for a mock sales process. * Analyze win/loss patterns in mock deal data and summarize takeaways. * Build simple sales forecasts using historical conversion and pipeline snapshots. * Compare forecasted vs. actual revenue and explain variances. * Research lead-scoring models and draft scoring criteria for mock leads. * Map the marketing-to-sales handoff and identify breakdowns in mock data. * Draft follow-up and nurture workflow outlines for stale opportunities. * Analyze deal cycle length by segment and suggest acceleration ideas. * Build quota-attainment and territory-coverage models for mock teams. * Research revenue attribution models and summarize when each one fits. * Design customer lifecycle stage definitions (trial, active, expansion, at-risk). * Draft expansion and upsell playbook outlines for mock accounts. * Build churn-risk indicators from mock product-usage signals. * Create SLA dashboards tracking lead response time and follow-up cadence. * Document revenue tech-stack maps for mock companies (CRM, engagement, analytics). * Evaluate mock tech-stack overlaps and recommend consolidation. * Use AI tools for data analysis, reporting, documentation, and research. * Present revenue operations analyses and process recommendations to stakeholders. Requirements * Current student or recent graduate in Business Administration, Finance, Marketing, Economics, Data Analytics, or a related field. * Strong interest in how companies generate and grow revenue systematically. * Analytical, process-oriented thinker comfortable with numbers. * Comfortable working with spreadsheets and basic data analysis. * Excellent written and verbal communication skills. * Detail-oriented with a habit of documenting processes clearly. * Interest in sales, marketing operations, or business systems. * Familiarity with Excel/Google Sheets (formulas, pivot tables) is a plus but not required. * Familiarity with CRM concepts (HubSpot, Salesforce) is a plus but not required. * Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms is a plus. * Previous professional revenue operations experience is not required. What You'll Gain * Hands-on experience solving realistic revenue operations challenges. * Practical experience with pipeline analysis and coverage modeling. * Experience cleaning CRM data and defining sales-process criteria. * Experience building funnel conversion and forecast reports. * Understanding of win/loss analysis and deal-cycle optimization. * Experience drafting lead-scoring and attribution models. * Practical exposure to quota, territory, and SLA design. * Experience building revenue dashboards for leadership. * Experience mapping customer lifecycle stages and churn indicators. * Understanding of revenue tech stacks and process documentation. * Experience using AI and modern operations tools. * Portfolio-ready revenue operations projects. * Personalized AI feedback on your work. * Professional certificate upon successful completion. * Mentorship and weekly learning sessions. * Opportunity to strengthen your portfolio, resume, and interview readiness. Internship Details Role: Revenue Operations Intern Location: Remote Type: Internship (Unpaid) Level: Entry Level Duration: 6 Weeks Commitment: Flexible (approximately 10–15 hours per week) If you're fascinated by what makes revenue predictable — pipelines, processes, and data that actually drive decisions — we'd love to hear from you. ⚠️ Apply through: 👉 www.owlera.site Show more

CAREER PROFILE

Role Overview

AIThis summary was prepared with the assistance of AI based on available information and may not reflect all details about the company.

A Revenue Operations Intern supports revenue processes through data analysis and operational tasks. The role may involve tracking performance metrics and assisting with process improvements. It provides hands-on experience in revenue cycle management.

REQUIREMENTS

Required Skills

Excel

JOB SOURCE

Original Job Listing

This job was found through LinkedIn. You can review the original listing before applying.

View Original Listing ↗