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Key job responsibilities
• Design, develop, and maintain scaled, automated, user-friendly systems, statistical analysis and prediction, reports, dashboards, etc. that will support the needs of the business
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets
• Be hands-on with ETL to build data pipelines to support automated reporting
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations
• Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Experience with data querying or modeling with SQL
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with statistical analysis, co-relation analysis
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