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This job role is mainly for handling Business Research requirements, OP1 requests and other Business reporting requirements. The role of a Business Research Analyst working on this space involves handling reporting requirements in Specialty Reading and Series DataQuality teams. Apply domain/process expertise in working with ETL, EDX and Quicksight Dashboards. Translate basic business problem statements into analysis requirements, work with the clients to define the best output, influence them and write queries to get the output. Implement/deploy data visualization or communication like quicksight dashboards, communicate clearly to stakeholders on project requirements and status, communicate analysis, generate periodic reports and work with business stakeholders to understand its value. Key job responsibilities The role of a Business Research Analyst(BRA) working on this space involves handling reporting requirements in Specialty Reading and Series DataQuality teams. Apply domain/process expertise in working with ETL, EDX and Quicksight Dashboards. Translate basic business problem statements into analysis requirements, work with the clients to define the best output, influence them and write queries to get the output. Implement/deploy data visualization or communication like quicksight dashboards, communicate clearly to stakeholders on project requirements and status, communicate analysis, generate periodic reports and work with business stakeholders to understand its value. A day in the life A day in the life of Business Research Associate will include working with SDMs and PMs. Getting analysis reports for OP1 requests and other Business Reporting and Analysis requirements. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets #J-18808-Ljbffr