Masters degree in Information Technology, Computer Science, Engineering, or a related field and 2 years of experience to involve data analytics; performing quantitative analysis on high volume complex data sets through data quality, data integration, and data analysis, using SQL, Python, and relational databases; working with Data Visualization to design scalable analytic solutions, using data visualization tools Tableau and Power BI to visualize various industry specific KPIs; collecting, blending, and transforming data from diverse sources using ETL tools and programming languages Azure Cloud, SQL, and Python to build scalable data pipelines to efficiently ingest and process data; providing stakeholder support to address performance optimization and enduser tickets with root cause analysis; and collaborating with stakeholders to support the strategic direction of the company through measurement and analysis of key performance metrics.
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