TL;DR

People Analytics Business Data Analyst (Data Analytics): Leading data and analytics strategy for %hirify_global%’s global performance and promotion programs with an accent on data integrity, governance, and usability. Focus on providing insights that enable both employee experience and business outcomes.

Location: Must be located in Mountain View, California

Salary: $135,000 to $182,500

Company

%hirify_global% is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

Lead cross-functional analytics initiatives across %hirify_global%’s global performance and promotion programs.
Partner with HR COEs, business partners, and technology teams to design and implement metrics, dashboards, and reporting.
Drive the data and analytics strategy for HR Tech implementations, ensuring data integrity, accuracy, and accessibility.
Develop and maintain scalable analytics solutions that enable real-time visibility into performance and promotion processes.
Provide deep analytical support for key talent events — including Mid-Year and Year-End performance cycles.
Collaborate with HR technology, data engineering, and analytics teams to evolve our data infrastructure.

Requirements

Bachelor’s degree in Computer Science, Data Analytics, Business, Human Resources, Industrial/Organizational Psychology, or a related field.
5+ years of experience in people analytics, HR analytics, or related data strategy roles.
Demonstrated expertise in building and interpreting people metrics, dashboards, and reporting.
Proven experience leading cross-functional analytics initiatives involving multiple stakeholders (HR, technology, and business).
Strong technical proficiency in data visualization tools (e.g., Quick Sight, Qlik Sense, or similar) and data querying languages (python or similar).
Experience working with Workday or other performance and goal management systems.

Nice to have

Familiarity with HR data architecture, system integrations, and migrations between HR platforms.
Knowledge of promotion and performance processes (e.g., calibration, ratings, or talent review cycles).
Exposure to data governance frameworks or experience establishing data quality standards.

Culture & Benefits

Competitive compensation package with a strong pay for performance rewards approach.