Customer/Usage Analyst
Profile Code: AL-SAS-01
- ₹10 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Customer & Product Usage Analytics | User Segmentation & Cohort Analysis | Retention & Churn Analysis | Product Performance KPI Monitoring | SQL, Excel & Data Visualization Tools | Customer Journey & Behavioral Analytics | SaaS Metrics (DAU, MAU, LTV, CAC) | Data-Driven Decision Making & Stakeholder Management
Overview Video
About This Course
A Customer/Usage Analyst focuses on how users actually use a product and how usage links to adoption, retention, and expansion. The role builds usage metrics and dashboards—active users, frequency, feature adoption, time-to-value—and segments users by behavior (power users, dormant users, new adopters). Analysts identify friction points in key journeys, detect churn signals (declining usage, failed actions), and partner with product and customer success teams to improve onboarding, in-app guidance, and support content. Ensuring clean event tracking and consistent definitions is critical so insights are trusted. Tools include SQL, product analytics platforms (Mixpanel/Amplitude), BI dashboards, and Excel. The role suits candidates interested in customer behavior and product improvement and can grow into product analytics lead, customer success strategy, or product roles.
Course Content
4 modules · 10 weeks · 2hrs/daySQL Course
The **SQL Course** covers basic to advanced concepts for Customer and Usage Analysts in the Software Product and SaaS industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, customer usage data extraction, product analytics, feature adoption analysis, user segmentation, retention reporting, churn analysis, data validation, and large dataset management to retrieve, transform, and analyze customer behavior data for product optimization and data-driven business decision-making.
Amplitude/Mixpanel Course
The **Amplitude/Mixpanel Course** covers basic to advanced concepts for Customer and Usage Analysts in the Software Product and SaaS industry, including event tracking, user behavior analytics, product usage monitoring, feature adoption analysis, funnel analysis, cohort analysis, retention tracking, churn analysis, user segmentation, customer journey mapping, A/B testing, conversion optimization, engagement metrics, custom dashboards, KPI reporting, workflow automation, data integration, reporting, product performance analysis, and advanced analytics techniques to measure user engagement, improve product adoption, optimize customer retention, and support product-led growth strategies.
BI Tools Course
The **BI Tools Course** covers basic to advanced business intelligence concepts for Customer and Usage Analysts in the Software Product and SaaS industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, customer usage dashboards, product performance analytics, feature adoption reporting, customer retention analysis, churn dashboards, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, forecasting visualization, performance monitoring, data storytelling, and business intelligence techniques to transform product and customer usage data into actionable insights for business growth and strategic decision-making.
Excel Course
The **Excel Course** covers basic to advanced concepts for Customer and Usage Analysts in the Software Product and SaaS industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, customer usage analysis, feature performance tracking, retention metrics, churn analysis, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, trend analysis, data visualization, and interactive dashboards to analyze customer behavior, monitor product performance, improve user engagement, and support data-driven product and business decisions.
Key Responsibilities
- Analyze customer behavior, product usage patterns, and engagement metrics to generate actionable insights
- Monitor adoption, retention, churn, and feature utilization across SaaS products
- Develop dashboards and reports to track customer health and product performance KPIs
- Identify opportunities to improve user experience, onboarding, and customer retention strategies
- Collaborate with product, customer success, marketing, and engineering teams to drive data-driven product decisions.
Growth Path
Tools Used
Perfect For
Computer Science and Engineering Graduates | Business and Analytics Professionals | Product and Customer Success Aspirants | SaaS and Technology Professionals | Data Analytics Enthusiasts | Individuals Interested in Customer Insights and Product Growth
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Software Product / SaaS
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