8-10 years of experience in data analysis on high-volume data
Telecom domain experience
Proficiency in SQL, NoSQL, and Python
Experience with data warehousing basics, data modeling, data mining, data profiling and segmentation
Requirements:
Build source-to-target mapping sheets in collaboration with source SMEs and business stakeholders, and work with data modelers and data engineers to validate end-to-end data flow
Perform analysis on high-volume data to derive insights and support business decisions
Design, develop, and validate data models, database schemas, and data pipelines; conduct data profiling and segmentation
Collaborate on data solutions using SQL/NoSQL/Python and leveraging GCP and other native cloud services
Job description
Position :- System Data Analyst Location :- Remote Note :- Telecom Exp is must
Skills
Data Warehouse Basics
Description
Around 8-10 years of experience in demonstrating Data Analysis on high volume of data
Experience in building Source to target mapping sheets in discussion with source SME's and Business and working with data modelers and Data Engineers to build & validate the E2E data flow
Must Telecom exp
Technical proficiency regarding database design development, data models, techniques for data mining, data profiling and segmentation.
Proficiency in programming/scripting languages including SQL / No SQL/ Python
3 to 5 years of strong experience in Working with GCP and its native cloud services will be an added advantage