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$ 3,00,000-$ 7,00,000
Full Time
Telecom
1 Open Position
8-10 Years

Job Description

Expert at Business Analysis and Data Analysis skills in Telco domain Experience in gathering requirements from business users, translating in requirements to define business rules & objectives Handson experience in SQL with advanced level skills Knowledge and understanding in Data Warehouse and data modeling Knowledge in any cloud migration Approx. 8 to 10 years of experience with a proven experience in Data domains and ecosystems Willingness to continuously learn & share learnings with others Capability to collaborate with stakeholders, project leaders to understand requirements, deliverables, and set expectations accordingly Ability to work in a fast-paced, rapidly changing environment

Job Skill

  • Bridge the gap between Technical team and the business team through the techno functional knowledge and experience of Data Warehousing Participate in data modeling and data visualizations that visually present complex data and/or metric relationships to users for exploration, analysis and action Do deep business analysis, systems and data analysis on source data and identify common elements helping to drive a common unified data model and architecture Gathering reporting requirements to analyze large dataset, identify issues, trend to drive results and solutions Participate and own the functional testing of data warehouse application and work with business stakeholders during User Acceptance Testing Hands on experience in SQL skill set and ability to perform data analysis to support the BA/DA tasks

Requirements

  • Provide Telecommunication domain expertise to project team by bringing in experience on Knowledge and experience in Telco front end application Data model like CRM, OMS and Billing modules Gathering Business requirements and documentation of business requirements (BRD) Data analysis to assess the feasibility of the business requirements and also assess the impact analysis of the business requirements on the data. Gathering integration requirements for data to include identification and assessment of data sources and creation of source/target mappings Identifying and documenting data transformation logic Defining metadata and rules associated with data integration processes Adapting current integration processes to accommodate changes in source systems and new business user requirements

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