Advisor – Employee Experience Analytics

Key Responsibilities:

Analytics & Insights Delivery:

Analyze large complex HR/EX datasets to identify trends anomalies and opportunities; translate findings into actionable recommendations.

Build analytical models and perform structured data analysis to inform business decisions and workforce strategies.

Develop insights that support EX priorities including but not limited to talent employee listening and organizational effectiveness.

EX Data:

Analyze EX data including talent (performance succession learning competency assessments etc) talent acquisition compensation benefits (medical dental vision) and retirement programs to identify trends gaps and opportunities.

Partner with stakeholders to interpret data and inform decisions related to pay practices benefits strategy performance management and talent acquisition strategy.

Respond to targeted requests (e.g. pay equity reviews promotion analysis benefits utilization talent pipeline health) with actionable analysis and recommendations.

Ensure data quality consistency and compliance with regulatory privacy and governance standards across rewards and talent data.

Support standardization of metrics definitions and best practices across Employee Experience.

Reporting & Visualization:

Design and develop standard reports dashboards and scorecards to provide consistent scalable access to EX metrics.

Maintain and enhance reporting solutions to improve usability accuracy and alignment with business needs.

Deliver clear compelling data visualizations and narratives tailored to diverse stakeholder audiences.

Solution Development:

Architect and recommend solutions that leverage technology data and processes across systems (e.g. Workday Microsoft tool suite).

Support the development of self-service analytics capabilities aligned with EX data strategy.

Identify opportunities to improve efficiency automation and data accessibility.

Stakeholder Partnership & Execution:

Partner collaboratively with stakeholders to clarify requirements prioritize initiatives and deliver value-driven analytics solutions.

Triage and respond to ad hoc data requests by refining business questions and providing timely actionable outputs.

Support cross-functional EX projects and initiatives with analytics expertise and deliverables.