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Key job responsibilities
• Design experiments of new software features by partnering with Product and Program Management teams
• Define necessary success metrics and build the required data pipelines
• Develop reporting and processes to enable self-service analytics by partnering with a worldwide team of Customer Service leaders
• Introduce cloud technologies (such as AWS) to solve challenging problems related to warehousing large datasets, high-availability data visualization, and data self-service
• Design and implement a reporting ecosystem and standards by working closely with technical managers, operations, and business leadsA day in the life
Are Right, A Lot: Introduce analytical standards for data availability, quality, and visualizations; Develop mechanisms to detect and remediate defects and deviations.
- 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 with forecasting and statistical analysis
- 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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