Data Insights & Visualization Practition

Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data.

Roles & Responsibilities:

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. Professional & Technical Skills:

Typically 2-3+ years in a data, 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. Minimum 2 year(s) of experience is required