Key job responsibilities- Create scalable, efficient, automated processes for data analyses, model development, model validation, and model implementation.- Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership over next steps for their resolutions.- Lead projects or components from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
A day in the life
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Knowledge of data warehousing and data modeling
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
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