If you’re a complete beginner in data analytics freelancing, your pricing strategy needs to balance two things: getting experience and not selling yourself short. Start with a simple formula: (monthly income goal) ÷ (realistic billable hours) = your base hourly rate. If you want to make $1,000 a month and can realistically bill 50 hours, that’s $20/hour as a starting point. But here’s the trick—don’t just charge based on hours. Clients don’t care how long something takes; they care about results. A dashboard that takes you 5 hours but saves them days of manual work is worth more than just your hourly time. To break into the market, consider: ✨Project-based pricing – Charge a flat fee for tasks like cleaning a dataset, building a simple dashboard, or setting up an Excel model. Start low (but not dirt cheap), deliver quality, and gradually increase rates. ✨Package deals – Instead of saying “I charge $15/hour,” say, “For $300, I’ll build a dashboard with X, Y, and Z features.” Client...