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Key job responsibilities
-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
-Simplify and automate reporting, audits, and other data-driven activities-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
-Learn new technology and techniques to meaningfully support product and process innovation
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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