Revenue/Monetization Analyst
Profile Code: AL-SAS-05
- ₹13 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: SaaS Revenue Analytics | Subscription & Monetization Strategy | Pricing & Packaging Analysis | MRR, ARR, ARPU & LTV Metrics | Revenue Forecasting & Financial Modeling | SQL, Excel & Data Visualization | Cohort & Retention Analysis | Data-Driven Business Decision Making
Overview Video
About This Course
A Revenue/Monetization Analyst in the software product/SaaS industry focuses on optimizing pricing models, revenue streams, and monetization strategies to drive sustainable growth. This course equips learners with the skills to analyze KPIs such as revenue, ARPU (average revenue per user), conversion rates, churn, and customer lifetime value (CLV). Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards, along with exposure to product and subscription analytics. The program emphasizes pricing strategy, subscription analytics, and revenue optimization in digital product environments. Learners will understand how to design and evaluate monetization models, reduce churn, and maximize customer value. By the end of the course, they are prepared for roles in revenue and product analytics, with career progression into growth strategy, product leadership, and business strategy positions.
Course Content
4 modules · 10 weeks · 2hrs/daySQL Course
The SQL course Basic to Advance provides learners with a strong foundation in querying and managing revenue and product data stored in relational databases. Participants learn SQL syntax, database concepts, SELECT statements, filtering, sorting, joins, aggregate functions, grouping, subqueries, views, and basic data manipulation techniques. Through hands-on exercises and SaaS business datasets, learners develop practical skills to retrieve, organize, and analyze subscription, pricing, customer, and transaction data, supporting revenue analysis and data-driven monetization strategies.
Microsoft Excel Course
The Microsoft Excel course Basic to Advance equips learners with advanced spreadsheet and financial analysis skills for revenue reporting and monetization analysis. Participants explore advanced formulas, PivotTables, PivotCharts, lookup functions, Power Query, dashboards, What-If Analysis, financial modeling, forecasting, conditional formatting, and report automation. Through practical SaaS business scenarios, the course prepares learners to analyze revenue trends, customer lifetime value, pricing performance, and subscription metrics for strategic business planning.
Business Intelligence Course
The Business Intelligence (BI) Tools course Basic to Advance focuses on transforming revenue and customer data into interactive dashboards and actionable business insights. Learners master data modeling, KPI development, dashboard creation, revenue tracking, customer segmentation, forecasting, visualization techniques, report automation, and performance optimization. Through project-based learning and real-world SaaS use cases, the course enables participants to monitor financial performance, identify growth opportunities, and support executive decision-making.
Product Analytics Tools Course
The Product Analytics Tools course Basic to Advance provides comprehensive training in analyzing user behavior, product usage, and monetization performance using modern product analytics platforms. Participants learn event tracking, funnel analysis, cohort analysis, retention measurement, feature adoption, user segmentation, conversion analysis, subscription metrics, dashboard creation, and experiment evaluation. Through hands-on SaaS projects, the course develops the skills required to optimize pricing strategies, improve customer engagement, increase revenue, and drive product-led growth through data-driven insights.
Key Responsibilities
- Analyze revenue streams, pricing models, and subscription performance to identify monetization opportunities
- Monitor key metrics such as MRR, ARR, churn, ARPU, and customer lifetime value
- Evaluate pricing experiments, packaging strategies, and upsell opportunities to maximize revenue growth
- Develop dashboards and forecasts to track financial and product performance
- Collaborate with product, finance, sales, and customer success teams to optimize monetization strategies and business profitability
Growth Path
Tools Used
Perfect For
Computer Science and Engineering Graduates | Business and Finance Professionals | Product and Growth Analysts | SaaS and Technology Professionals | Data Analytics Enthusiasts | Individuals Interested in Revenue Strategy and Product Monetization
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Software Product / SaaS
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