- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics advocating for changes where needed for both products development and sales activity
- Working knowledge of Google Analytics, Google Data Studio
- Working knowledge with data engineering and data security practices.
- Working knowledge of managing, unifying, and automating data flows from disparate sources