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In this role you will:- Use analytic tools and languages (notably SQL) and present analytical results and insights using multiple methods, including written summaries and visualization/reporting tools such as Tableau.- Propose and prioritize changes to reporting and create additional metrics and processes based on program changes and customer requirements.Key job responsibilities
• Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
• Architect standardized data models in the data warehouse for analysis and long-term reporting
• Work with product teams to identify gaps and trends
• Analyze large data sets using a variety of database query and visualization tools
• Provide technical expertise in extracting, integrating, and analyzing critical data
• Design and develop key performance metrics and indicators using standardized and custom reports
• Perform ad hoc analysis to quickly solve time-sensitive operational issues and business cases
• Clearly communicate any potential discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base
• Work with subject matter experts to document and translate business requirements into technical requirements
• Manage multiple projects and proactively communicate issues, priorities, and objectives
- 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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