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Key job responsibilitiesSpecific responsibilities include:
• Develop data visualizations & dashboard designs that raise the bar and meet a wide range of customer needs
• Work cross-functionally with product managers, scientists, and engineers to design the ETL pipelines underlying our products
• Dive deep into varied data sources to understand the relationships between metrics, surface insights, and implement new data models to make analysis scalable and repeatable
• Use statistical models and machine learning solutions with large, multidimensional datasets to uncover trends, patterns, and opportunities
• Identify and recommend opportunities to automate processes
• Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases
• Clearly communicate discrepancies and downtime, including specific root cause, steps to resolve, and ETA to a large user baseA day in the life
- 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
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