Tata Play - Product Analyst - Subscriber Analytics (6-9 yrs)

Product Analyst - Subscriber Analytics

Job Summary:

- We are seeking a highly skilled and analytical Subscriber Analytics professional to join our team. The ideal candidate will have a strong understanding of data analysis, statistical modeling, and customer behavior. You will be responsible for analyzing subscriber data to identify trends, patterns, and opportunities to improve customer engagement, retention, and revenue.

Key Responsibilities:

Data Analysis:

- Collect, clean, and validate subscriber data from various sources.

- Utilize data analysis tools and techniques to extract meaningful insights.

- Perform statistical analysis to identify correlations and trends.

- Develop data visualizations to communicate insights effectively.

Customer Segmentation:

- Segment subscribers based on demographics, behavior, and other relevant factors.

- Analyze the characteristics of each segment to identify opportunities for targeted marketing campaigns.

Churn Prediction:

- Develop predictive models to identify subscribers at risk of churn.

- Implement strategies to reduce churn and improve customer retention.

User Behavior Analysis:

- Analyze user behavior patterns to understand how subscribers interact with our products and services.

- Identify opportunities to enhance the user experience and drive engagement.

Required Qualifications:

- Bachelor's/Master's degree in any quant discipline like Statistics or Mathematics or Business Analytics.

- 6+ years of experience in product analysis, market research, or a similar role.

- Strong analytical skills and ability to interpret data to inform decision-making.

- Expertise with data analysis tools (SQL, Excel, Tableau) and user research methodologies.

- Expertise in analyzing clickstream data, preferred tool Mix Panel.

- Excellent communication and presentation skills, both written and verbal.

- Passion for technology and a strong understanding of mobile app and web development.

- Ability to work effectively in a fast-paced, collaborative environment.