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Key job responsibilities
· Align with leaders and customers to translate business issues into testable hypotheses answerable with data.
· Develop and execute analyses to drive talent insights.
· Create data capture and measurement strategies that drive business action.
· Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.
· Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.
· Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.
· Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.
· Compile results in a concise, meaningful, and actionable format and share findings to senior leadership.
· Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.A day in the lifeMentorship & Career Growth
- 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 writing complex SQL queries
- 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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