Analytics & AI

Responsibilities :

Industry knowledge- Knows basic principles of industry lexicon, competitor landscape, sub-verticals and related best practices in order to provide suggestions for specific functional processes. Basic understanding of industry standards to document current customer compliance and gaps. Functional/Process knowledge- Shows the basic understanding of processes in relevant functional areas (such as Telecom - Fulfillment, Assurance, Workforce Management, Billing etc.) in order to Document or guide documentation of simple as-is customer processes Appreciate the context of customer requirements from specific engagements

Additional Responsibilities:

Industry knowledge- Knows basic principles of industry lexicon, competitor landscape, sub-verticals and related best practices in order to provide suggestions for specific functional processes. Basic understanding of industry standards to document current customer compliance and gaps. Functional/Process knowledge- Shows the basic understanding of processes in relevant functional areas (such as Telecom - Fulfillment, Assurance, Workforce Management, Billing etc.) in order to Document or guide documentation of simple as-is customer processes Appreciate the context of customer requirements from specific engagements

Technical and Professional Requirements:

Preferred Proficiency with statistical analysis tools (e.g., SAS, SPSS, R & Python) Hands on experience in Statistical Techniques & Deep Learning such as Decision Tree, Segmentation, Logistic and Multiple Regression, and others Experience of Forecasting, Campaign Management and Customer Segmentation is desirable Strong Excel, Access and PowerPoint skills Familiarity with database query tools (SQL) Basic understanding of data warehouse architecture Understanding of various Analytical Tools, Platform & Frameworks.