SourceFuse is transforming the way today’s most successful companies develop breakthrough roadmaps leveraging Cloud-Based Technologies to boost efficiency, ensure compliance, deliver actionable insights and lower cost of total ownership. Locations - Noida, Mohali, Benguluru and Hyderabad

Data Analysis: Collect, clean, and preprocess large datasets from various sources, including subscriber records, call logs, customer demographics, and network performance data. Perform exploratory data analysis to identify trends, patterns, and correlations in customer behavior. Marketing Campaign Optimization: Collaborate with marketing teams to design and evaluate marketing campaigns. Analyze the effectiveness of marketing initiatives, A/B tests, and promotions, providing insights to optimize strategies. Subscriber Insights: Conduct in-depth analyses to understand subscriber behavior and preferences. Generate actionable insights to improve the customer experience, reduce churn, and increase subscriber lifetime value. Data Visualization: Create compelling data visualizations and dashboards to communicate insights to non-technical stakeholders. Utilize tools such as Tableau, Power BI, or similar for data presentation. Data-driven Recommendations: Collaborate with cross-functional teams to translate data-driven insights into actionable recommendations for marketing strategies. Monitor the implementation of recommendations and track the impact on key performance metrics. Stay Current with Industry Trends: Stay up-to-date with the latest trends and innovations in Telecom and Data Science. Apply industry best practices to enhance data analysis methodologies. Work Location - Remote

Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. Strong proficiency in data manipulation and analysis using tools like Python and SQL. Familiarity with Telecom datasets, including subscriber data, call records, and network data. Proficiency in data visualization tools (Domo, Tableau, Power BI, etc.). Experience with machine learning techniques for classification, regression, and clustering. (good to have) Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Strong teamwork and collaboration skills. Knowledge of Telecom marketing strategies and industry-specific challenges is a plus.