People Performance - Data Analyst

Data AnalystData

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Key Responsibilities

Monitor and optimize People data infrastructure, ensuring query performance and system stability.

Requirements Summary

Ensure data integrity during appraisal processes, providing key reports for calibration sessions and compensation reviews.

Technical Tools

Data AnalystData

~1 min read

BigQuery Management: Monitor and optimize People data infrastructure, ensuring query performance and system stability.
Pipeline Automation: Develop and maintain ETL/ELT processes to integrate data from multiple sources (Lattice, payroll, internal systems) into unified models.
Data Cleaning & Preparation: Execute rigorous data cleaning and preparation processes on complex datasets to ensure accuracy and consistency in performance reporting.

Data Solutions Development: Translate technical requirements from the People Performance team into functional data models, dashboards, and reports.
Technical Support in Performance Cycles: Ensure data integrity during appraisal processes, providing key reports for calibration sessions and compensation reviews.
Technical Documentation: Create and maintain documentation for data models and tools to ensure operational continuity.

Data Engineering: Strong experience in Python, advanced SQL, and Spark for processing large-scale datasets.
Cloud Ecosystem: Proficiency in Google Cloud Platform (BigQuery) with experience managing data infrastructure.
Tactical Visualization: Expertise in Looker Studio, Power BI, or similar tools for building operational dashboards.
Experience with Digital Tools: Strong ability to configure and maximize niche tools (Lattice, DataCamp, PSA) and the Google Workspace suite.
AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows

~1 min read

Motivated and Collaborative: Proactive in solving technical problems and comfortable working closely with the People team.
Alignment with Team Goals: Commitment to a meritocratic culture and the strategic objectives of the People Performance team.
Technical Communication: Ability to clearly and effectively explain data processes (English B2+).

Data Availability: Uptime and availability of dashboards and data engines.
Data Accuracy: Zero errors in data consolidation for compensation and performance cycles.
Efficiency Gains: Reduction of manual time spent on HR data processing through automation.