Churn Analyst
Profile Code: AL-TEL-01
- ₹8 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Churn Prediction & Retention Analytics | Customer Segmentation | Predictive Modeling & Data Analysis | Customer Lifetime Value (CLV) Analysis | Telecom Subscriber Analytics | KPI Reporting & Dashboarding | Excel, SQL, Python & Data Visualization | Customer Experience & Retention Strategy
Overview Video
About This Course
A Churn Analyst in the telecom and ISP industry focuses on identifying, analyzing, and reducing customer attrition using data-driven insights. This course equips learners with the skills to track KPIs such as churn rate, retention rate, customer lifetime value (CLV), and usage patterns, and identify factors leading to customer drop-offs. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for data analysis and reporting. The program emphasizes churn prediction, customer segmentation, and retention strategy development. Learners will understand how to detect early warning signals, design retention campaigns, and improve customer loyalty. By the end of the course, they are prepared for roles in customer analytics and retention strategy, with career progression into growth analytics, customer experience 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 customer and operational 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 telecom datasets, learners develop the skills required to retrieve, organize, and analyze customer usage, billing, and service data to support churn analysis and business decision-making.
Microsoft Excel Course
The Microsoft Excel Course Basic to Advance equips learners with advanced analytical and reporting skills for customer retention analysis. Participants explore advanced formulas, PivotTables, PivotCharts, Power Query, lookup functions, dashboards, What-If Analysis, conditional formatting, data modeling, and report automation. Through practical telecom business scenarios, the course prepares learners to analyze customer behavior, identify churn trends, monitor KPIs, and create professional reports that support retention strategies.
Business Intelligence (BI) Course
The Business Intelligence (BI) Course Basic to Advance focuses on transforming customer and operational data into interactive dashboards and actionable insights. Learners master data modeling, KPI development, dashboard creation, churn trend analysis, customer segmentation, forecasting, visualization techniques, report automation, and data storytelling. Through project-based learning and real-world telecom use cases, the course enables participants to monitor customer retention metrics and support strategic business decisions.
Telecom Billing Systems Course
The Telecom Billing Systems Course Basic to Advance provides comprehensive training in understanding billing platforms and customer revenue management within telecom environments. Participants learn billing workflows, customer account management, usage records, rating and charging concepts, invoice generation, subscription lifecycle, payment tracking, revenue assurance fundamentals, dispute handling, reporting, and system integration. Through hands-on business scenarios, the course develops the skills required to analyze billing data, identify churn indicators, and support customer retention and revenue optimization initiatives.
Key Responsibilities
- Analyze customer behavior and usage patterns to identify churn risks and predict customer attrition
- Develop churn models and segmentation strategies using subscriber and network data
- Monitor retention campaign performance and recommend actions to reduce customer losses
- Create dashboards and reports on churn trends, customer lifetime value, and retention KPIs
- Collaborate with marketing, customer service, and product teams to improve customer retention and loyalty strategies.
Growth Path
Tools Used
Perfect For
Engineering and Business Graduates | Telecom and ISP Professionals | Data Analytics Enthusiasts | Marketing and Customer Experience Aspirants | Business Intelligence Professionals | Individuals Interested in Customer Retention and Predictive Analytics
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Telecom / ISP
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