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Key job responsibilitiesThe ideal candidate for this role:
• Understands current and future business needs by working closely with stakeholders.
• Supports the long-term strategy to implement self-service solutions and focus on insights research while understanding and having experience working with Customer service/Operation teams.
• Has deep domain/process expertise across operational metrics. Someone who can understand individual metrics and how they are all connected.
• Proactively identifies problems with significant business impact; facilitates analysis to identify problems and opportunities to deliver insights and recommendations to help shape strategy across team and measurement initiatives.
• Works with the data engineering team to build the business requirements to evolve the insights and analysis about the SP experience.
- 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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