Responsibilities
- Analyze extensive and intricate datasets to assess data patterns, integrity, and effects on downstream systems
- Interpret and adhere to analytical results, including meeting defined success criteria and properly documenting outputs for use by others
- Present insights, potential risks, and suggested actions in a clear manner to both technical and non-technical stakeholders
- Support the maintenance of analytics workflows, incorporating automation and AI-enhanced tools when suitable
- Collaborate with engineering, research, and product groups to identify problems and share solutions
- Detect shortcomings in data accuracy or usability and proactively work to resolve them
- Assist in building an analytics culture that values accountability, transparency, and meaningful outcomes over excessive procedures
- Implement scalable automation to replace manual, repetitive data tasks with efficient, dependable, and visible processes
- Prioritize precision, clarity, and consistency in all deliverables
- Carry out clearly defined analytical tasks under supervision
Work Arrangement
Hybrid — New York, NY
