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Key job responsibilities· Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
· Partnering with other analysts and engineers to build analytical solutions to deliver on business goals· Perform deep-dives to find the root causes behind variances of key parameters over a given time-period
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience in the data/BI space
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with forecasting and statistical analysis
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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