- Identify metric trends and insights for business reviews to provide leadership visibility into operational health and performance against desired outcomes
- Translate business objectives into actionable analyses, clearly communicating technical concepts and operational implications to varied audiences
- Develop scalable analytics solutions that provide the essential insights needed to support agile decision making
- Apply quantitative skills and incorporate qualitative insights to inform and advise strategy for Product Delivery Operations
- Partner with Operations, Data Science, Data Engineering, Systems, and Engineering teams to identify and execute against opportunities that increase operational efficiency and effectiveness
- Drive forecasting, scenario planning, and predictive analytics to optimize our operational expenditures
- B.A./B.S. degree with a quantitative focus in Economics, Computer Science, Information Systems, Math, Statistics, or a similar technical field
- 3+ years of work experience in an analytics or consulting role involving strategy, problem solving, and/or technical systems
- Experience working in a fast-paced, rapidly-changing environment, while managing multiple priorities and stakeholders
- Experience communicating effectively to technical and non-technical audiences
- Experience in communication with management
- Experience using analytics to break down ambiguous, complex problems using data
- Experience with data querying languages (e.g. SQL) and experience with scripting languages (e.g. Python)
- Experience developing data pipelines via SQL and Python-based ETL frameworks
- Advanced degree with a quantitative focus (Computer Science, Statistics, Finance, Information Systems, Applied Economics or similar technical field) or equivalent practical experience
- Experience working in an operations organization
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