Location: USA-Atlanta /Hybrid

Duration: 1+ years

Description

Data analyst automation ( Azure and Snowflake)
• Drive automation, pull measurements from systems to derive KPIs to support the evaluation of introducing best practices and optimization on quality, cost and speed to delivery and problem resolution.
• The data analyst is responsible for analysing business requirements and converting them into data requirements such as reports, visualizations, and data lifecycle management.
• They will analyse and interpret complex data sets to inform business decisions.

Drive automation, pull measurements from systems to derive KPIs to support the evaluation of introducing best practices and optimization on quality, cost and speed to delivery and problem resolution.
Senior Data Analysts should have strong experience in identifying and querying data using both standard relational and non-relational systems. They should also possess a solid understanding of both Structured and Unstructured Data. Additionally, strong skills in Data Profiling and SQL are necessary for analyzing source-target data and generating Source- Target Mapping Sheets (STTM). Experience working in big data environments, both on-premises and in the cloud (hands-on exp in Snowflake ) as well as proficiency with reporting tools like Power BI, is also required.