Deliver trusted reporting, dashboards, and practical analysis while partnering across People & Culture functions to strengthen enterprise People Analytics capabilities.
Compensation
For this position, the base pay is set at $96,000 - $118,500 annually, and where applicable, bonus eligible.
Responsibilities
Develop and maintain recurring reports, dashboards, and scorecards for internal P&C US priorities; validate accuracy, timeliness, and fitness for use.
Work with stakeholders to clarify questions, define measures, document requirements, and explain limitations of available data.
Partner across Talent Acquisition, People Growth, Inclusion, Total Rewards, People Operations, Payroll, and business leaders to build an enterprise People Analytics capability that improves organizational performance, workforce planning, and talent outcomes.
Analyze workforce, service, process, and experience data to identify trends, exceptions, and practical improvement opportunities.
Present findings through clear visuals and concise narratives that distinguish observed results from interpretation and recommendations.
Requirements
Bachelor’s degree in analytics, business, human resources, information systems, statistics, or a related field
Nice to have: Experience with P&C data
Nice to have: Employee experience measures
Nice to have: Service or process performance reporting
Design, develop, and maintain data pipelines, ETL/ELT workflows, and data integration solutions; build and support trusted data products; support data lake, warehouse, and analytics platform configuration; apply DevOps practices; monitor data quality and platform reliability.
Responsibilities
Design, develop, and maintain data pipelines, ETL/ELT workflows, and data integration solutions.
Build and support trusted data products, including curated datasets, reusable data assets, semantic layers, and analytics-ready data models.
Support data lake, data warehouse, and analytics platform configuration, optimization, and operations.
Apply DevOps practices, including CI/CD, version control, automated testing, and deployment automation for data engineering solutions.
Monitor data quality, pipeline performance, platform reliability, and production support processes.
The Global Intelligence Analyst II will build and maintain intelligence products, dashboards, and reporting to inform operational, investment, and business decisions.
Responsibilities
Build and maintain intelligence products, dashboards, and reporting for leadership audiences
Translate business requirements into scalable analytics and intelligence solutions
Deliver dashboards for resilience, strategic intelligence, and executive reporting initiatives
Apply analytical methods to identify trends, risks, opportunities, and performance drivers
Automate manual processes to modernize the reporting ecosystem and speed up insight delivery