Work closely with various teams across the CBU to identify and solve business challenges by utilizing large structured, semi-structured, and unstructured data in a distributed processing environment as well as developing of machine learning models for various areas of the business on the Big Data Platform.

Key Accountabilities And Decision Ownership

• Identify, Analyse, and Interpret trends or patterns in complex data sets.
• Support the extraction of data (ETL) from multiple sources.
• Perform quantitative analysis of product trends to recommend mass/segmentation decisions.
• Analyse and track customer behaviour to identify trends and unmet needs.
• Prepare periodic and regular reports on prepaid base activity levels and Churn for decision making.
• Communicate analytics and ML model results to business users.
• Monitor the pre- and post-launch performance of products in relation to generated revenue and customer satisfaction.
• Work closely with product team to conduct pre and post benefit analysis on new and existing products in the market.
• Assist in developing internal tools for data analysis. Like dashboards, cubes and various reports.
• Analyse large datasets to provide strategic direction to the company.
• Prepare various Daily, Weekly and Monthly reports.
• Prepare various Adhoc analysis as per the business requirement.
• Work with Market Insights and Financial Decision Support teams to develop business cases
• Work with other stakeholder in ensuring the smooth execution and running of campaigns and campaign management platforms

Core Competencies, Knowledge, And Experience

Strategic Thinking

• Excellent analytical, logical, and casual reasoning skills.
• Excellent communication skills
• Strong stakeholder management skills
• Ability to anticipate customer, competitor, and market dynamics
• Able to challenge the status quo

Must Have Technical / Professional Qualifications

• A Bachelor’s or master’s degree in statistics, computer science, mathematics, business administration or economics
• 4+ years of experience in similar big data and data science and data analysis role
• Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science or Engineering, Artificial Intelligence, , or related fields
• Proficiency in Python and associated data Science ecosystem, Machine Learning and Experiments Design
• Working knowledge of reporting software, such as Crystal Reports, Microsoft Access Reports, Teradata or SQL Server Reporting Services.
• Significant knowledge of customer driven marketing techniques and processes