Data Analyst

Execute structured, well-defined analytical tasks and foundational delivery activities within one or more pods, under the direction of consultants and managers.

Responsibilities:

• Support consultants and managers in clarifying business objectives, constraints, requirements, and decision needs.
• Translate defined requirements into analytical tasks; surface gaps, data issues, or ambiguity for resolution.
• Execute data extraction, preparation, validation, recurring analysis, testing, documentation, reporting, and dashboard maintenance.
• Use SQL to work with large or complex datasets; use Python or R in Colab when deeper analysis or automation is needed.
• Build and maintain reports, dashboards, workflows, and analytical data structures using PLX and other internal tools.
• Collaborate with consultants, developers, and data engineers to test logic, document assumptions, and refine solutions.
• Manage assigned tasks, communicate progress, and present findings for well-defined areas of responsibility.

Qualifications:

• Bachelor's degree in a technical or quantitative field, or equivalent practical experience.
• Typically 2-3+ years in a data, analytics, or supply chain analytics role; customer-facing experience is preferred.
• Strong SQL; working knowledge of BI/reporting tools, data modeling, ETL, and analytical or warehouse architectures.
• Experience with large enterprise datasets and the ability to quickly learn PLX and other internal Google analytics tools.
• Python or R, typically through Colab, is a strong plus; GCP tool exposure is useful but secondary.
• Supply chain, inventory, logistics, or operations experience is preferred but not mandatory for exceptional analytical candidates.