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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 .
- Apply deep analytic and skills to extract meaningful insights and learning from large and complicated sets using the appropriate statistical forecasting model and Machine Learning models.
- Be hands-on with ETL to build pipeline to support automated reporting.
- Serve as liaison between the planning and technical teams to achieve the goal of providing actionable insights into current performance, ad hoc investigations to support future innovations and continuous improvements. This will require gathering and manipulation, problem solving, and communication of insights and recommendations.
- Build various rich visualizations to tell the story of trends, patterns, and outliers.
- Recognize and adopt best practices in reporting and analysis: integrity, test design, analysis, validation, and documentation.
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 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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