8-10 years of data analysis experience with high-volume data
Telecom domain experience is mandatory
Strong in database design, development, data models, data mining, data profiling, and data segmentation
Proficiency in SQL, NoSQL, and Python; exposure to Google Cloud Platform (GCP) and its native cloud services is a plus
Requirements:
Collaborate with source SMEs and business teams to create source-to-target mappings and validate end-to-end data flow with data modelers and data engineers
Perform data analysis on large datasets to derive insights and support data quality and governance
Design and develop data models, schemas, and implement data mining, profiling, and segmentation techniques
Develop and maintain data pipelines using SQL/NoSQL/Python and leverage GCP cloud services as needed
Job description
Position :- System Data Analyst Location :- Remote
Duration: 12 Months
Note :- Telcom Docmain exp is must
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
