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Key job responsibilities
• Work closely with the BIEs, DEs and Scientists in the team and collaborate effectively with product managers to create scalable analytical solutions for business problems.
• Use GenAI to aid development process and generate insights that drive meaningful business outcomes.
• Proactively learn new technologies to identify opportunities for improvement or automation in existing data processes.
• Use the best practice on ETL engineering, data quality frameworks, warehouse design, documentation, and knowledge sharing.
• Contribute to flywheel inputs strategy by conducting both ad-hoc and strategic analyses.
• Own the development, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business.
A day in the life
You will build the analytics and the supporting data infrastructure needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with the Product/Program Managers, Data Engineers, Applied/Research/Data Scientists, Economists and Software Development Engineers to solve challenging problems.
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in Statistical Analysis packages such as R, SAS and Matlab
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