Primary Responsibilities : Develop and support data pipelines to extract, transform and load data into Google Data Center data warehouse. Maintain data reports and dashboards. Analyze data and perform statistical analysis. Job Description Develop ETL/data pipelines to populate the data warehouse from a variety of custom and 3rd-party systems. Design, build, launch, optimize and extend full-stack Data and business intelligence solutions spanning extraction, storage, transformation and visualization layers. Implement and maintain data analysis scripts using SQL and Python. Develop and support reports and dashboards using Google Plx/Tableau/Looker/Data Studio. Improve and develop new and existing dashboards supporting business growth. Analyze data and perform statistical analysis. Monitor performance and implement the necessary infrastructure optimization. Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality. Demonstrate excellent collaboration, interpersonal communication and written skills with the ability to work in a team environment. Minimum Qualifications 4+ years of solid hands-on experience with SQL scripting, dashboard development, and data analysis. Hands-on experience with design, development and support of data analysis. Hands-on experience using statistical methods for data analysis. Familiarity with machine learning and advanced analytics methods. Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc.). Experience with data platform and visualization technologies such as Google Plx dashboards, Data Studio, GoogleSQL, and BigQuery. Strong design and development skills with meticulous attention to detail. Familiarity with Agile Software Development practices and working in an agile environment. Strong analytical, troubleshooting and organizational skills. Ability to analyze and troubleshoot complex issues, and proficiency in multitasking. BS degree in Computer Science, Math, Statistics or equivalent academic credentials. #J-18808-Ljbffr
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