Product Analyst
Profile Code: AL-SAS-04
- ₹12 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 12 Weeks
Skills You Learn: Product Analytics & KPI Measurement | User Behavior & Customer Journey Analysis | Funnel & Cohort Analysis | A/B Testing & Experimentation | SQL, Python & Data Visualization | SaaS Metrics (DAU, MAU, Retention, LTV) | Dashboarding & Business Intelligence | Data-Driven Product Decision Making
Overview Video
About This Course
A Product Analyst in the software product/SaaS industry focuses on improving product performance by analyzing user behavior, feature usage, and key product metrics. This course equips learners with the skills to track KPIs such as user engagement, retention, and conversion, and translate data into actionable product insights. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards, along with exposure to product analytics platforms. The program emphasizes funnel analysis, cohort analysis, and data-driven decision-making to enhance product features and user experience. Learners will understand how to work closely with product and engineering teams, prioritize improvements, and measure the impact of changes. By the end of the course, they are prepared for roles in product analytics, with career progression into product management and product strategy leadership positions.
Course Content
4 modules · 12 weeks · 2hrs/daySQL Course
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Amplitude/Mixpanel Course
The Amplitude/Mixpanel Course Basic to Advance equips learners with the skills to analyze user behavior and product performance using leading product analytics platforms. Participants explore event tracking, user journeys, funnel analysis, cohort analysis, retention measurement, segmentation, feature adoption, experimentation insights, dashboard creation, and product performance monitoring. Through practical SaaS product scenarios, the course prepares learners to generate actionable insights that improve user engagement, product adoption, and customer retention.
Google Analytics 4 (GA4) Course
The Google Analytics 4 (GA4) Course Basic to Advance focuses on measuring and optimizing digital product performance using event-based analytics. Learners master event tracking, conversions, audiences, custom reports, user lifecycle analysis, attribution, engagement metrics, e-commerce tracking, predictive insights, and reporting. Through project-based learning, the course enables participants to evaluate user interactions, monitor product performance, and support data-driven product strategy.
Power BI/Tableau Course
The Power BI/Tableau Course Basic to Advance provides comprehensive training in building interactive dashboards and visual analytics for product performance monitoring. Participants learn data modeling, KPI development, dashboard design, user behavior visualization, product performance reporting, forecasting, data storytelling, report automation, and performance optimization. Through hands-on projects and real-world product datasets, the course develops the skills required to communicate product insights effectively and support strategic product management decisions.
Key Responsibilities
- Analyze product usage, customer behavior, and business metrics to generate actionable insights
- Define and monitor product KPIs, funnels, and user engagement metrics
- Conduct cohort analysis, A/B testing, and feature performance evaluations to support product decisions
- Develop dashboards and reports to track product performance and identify growth opportunities
- Collaborate with product managers, engineering, design, and customer success teams to drive data-driven product improvements
Growth Path
Tools Used
Perfect For
Computer Science and Engineering Graduates | Business and Analytics Professionals | Product Management Aspirants | SaaS and Technology Professionals | Data Analytics Enthusiasts | Individuals Interested in Product Strategy and User Experience
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Software Product / SaaS
Related analyst roles inside the same industry.
