Growth Analyst
Profile Code: AL-SAS-03
- ₹11 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Growth Analytics & Product Metrics | Funnel & Cohort Analysis | A/B Testing & Experimentation | Customer Acquisition & Retention Analytics | SQL, Python & Data Visualization | SaaS Metrics (DAU, MAU, LTV, CAC) | Customer Journey & Behavioral Analytics | Data-Driven Decision Making & Growth Strategy
Overview Video
About This Course
A Growth Analyst in the software product/SaaS industry focuses on driving user acquisition, engagement, and revenue growth through data-driven experimentation and insights. This course equips learners with the skills to analyze user behavior, track key metrics such as conversion rates, retention, and customer lifetime value (CLV), and identify growth opportunities across the funnel. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards, along with exposure to product analytics platforms. The program emphasizes A/B testing, funnel analysis, and data-driven decision-making to optimize product performance. Learners will understand how to design experiments, measure impact, and collaborate with marketing and product teams to scale growth. By the end of the course, they are prepared for roles in growth and product analytics, with career progression into growth strategy and product leadership positions.
Course Content
4 modules · 10 weeks · 2hrs/daySQL Course
The SQL course Basics to Advance provides learners with a strong foundation in querying and managing customer 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 real-world SaaS datasets, learners develop practical skills to retrieve, organize, and analyze user acquisition, engagement, retention, and conversion data, supporting data-driven growth strategies and business optimization.
Business Intelligence Course
The Business Intelligence (BI) Tools course Basics to Advance equips learners with the skills to transform growth and customer data into interactive dashboards and actionable insights. Participants explore data modeling, KPI development, dashboard creation, funnel analysis, cohort analysis, customer segmentation, forecasting, visualization techniques, report automation, and performance optimization. Through practical business scenarios, the course prepares learners to monitor growth metrics, identify opportunities, and support strategic decision-making.
CleverTap / Braze / MoEngage Course
The CleverTap / Braze / MoEngage course Basics to Advance focuses on customer engagement, lifecycle marketing, and retention strategies using leading customer engagement platforms. Learners master audience segmentation, event tracking, customer journeys, behavioral targeting, push notifications, email and SMS campaigns, in-app messaging, personalization, campaign analytics, A/B testing, and performance measurement. Through hands-on projects and real-world SaaS use cases, the course enables participants to optimize user engagement, improve retention, and accelerate business growth through data-driven marketing automation.
Microsoft Excel Course
The Microsoft Excel course Basics to Advance provides comprehensive training in analyzing and reporting growth metrics using advanced spreadsheet techniques. Participants learn advanced formulas, PivotTables, PivotCharts, Power Query, lookup functions, dashboards, What-If Analysis, conditional formatting, forecasting, statistical functions, and report automation. Through practical growth analytics projects, the course enables learners to evaluate campaign performance, analyze customer behavior, visualize key metrics, and generate professional reports that support strategic business growth and performance optimization.
Key Responsibilities
- Analyze user acquisition, activation, retention, and revenue metrics to identify growth opportunities
- Build and monitor growth funnels, cohorts, and customer journey analytics
- Design and evaluate experiments and A/B tests to improve product adoption and engagement
- Develop dashboards and reports to track key growth KPIs and business performance
- Collaborate with product, marketing, customer success, and engineering teams to drive data-driven growth strategies
Growth Path
Tools Used
Perfect For
Computer Science and Engineering Graduates | Business and Analytics Professionals | Product Managers and Growth Marketers | SaaS and Technology Professionals | Data Analytics Enthusiasts | Individuals Interested in Product Growth and Customer Analytics
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Software Product / SaaS
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