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.
Preferred Skills:
Technology->Business Intelligence – Reporting->Cognos,Technology->Digital Marketing->Digital Marketing – ALL,Technology->DataAnalytics->Alteryx,Technology->Data Science->Machine Learning,Technology->Machine Learning->MLOps
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