Data Analyst

Experience: A minimum of 3 years in Data Engineering, Business Intelligence, or Operations Analytics.

Technical Expertise:

Advanced skills in SQL and database querying capabilities.

Demonstrated ability to create dashboards and reporting views utilizing PLX or similar enterprise BI tools, such as Looker and Tableau.

Proficient in developing automation scripts with Python or Google Apps Script for interacting with REST APIs and JSON payloads.

Domain Knowledge: Understanding of software testing lifecycles, bug-tracking processes, and quality assurance metrics.

Preferred Qualifications

Google Internal Tooling: Hands-on experience with Buganizer APIs, Test Tracker, Plx Data Warehouse, and Plx Dashboards.

Stakeholder Management: Capability to harmonize cross-functional team leaders on unified metric definitions and reporting structures.

Data Modeling: Comprehensive grasp of data modeling concepts, join logic, and time-delta computations across unlinked datasets.