Description
Join EA's People Analytics team and help shape how we understand, measure, and improve the employee experience across our global workforce. You will sit at the intersection of data, equity, and engagement. You will translate complex people data into clear insights that help leaders make informed, responsible decisions about inclusion, workforce health, and organisational effectiveness.
As a Senior Analyst, People Analytics, you will partner with People Experience, Global Inclusion, Workforce Engagement, and business leaders to deliver insights that are credible, actionable, and grounded in context. You will deliver clear, responsible insights on workforce composition, equity, and engagement to inform people and business decisions.
Key responsibilities include:
- Partner with People Experience, Global Inclusion, Workforce Engagement, and business leaders to deliver insights that are credible, actionable, and grounded in context.
- Deliver clear, responsible insights on workforce composition, equity, and engagement to inform people and business decisions.
- Analyze and interpret demographic, pay, promotion, and engagement data across regions and teams.
- Partner with People Experience, Global Inclusion, and Workforce Engagement teams to translate data into actionable narratives for leaders.
- Build and trend on-demand workforce engagement analyses, including sentiment analysis and emerging signals that may indicate organisational risk.
- Use pattern recognition and exploratory analytics to surface trends related to employee experience, workload, and collaboration behaviours, with appropriate care for privacy and context.
- Manage external benchmarks and market research to provide context and support inclusive workforce strategies.
- Produce executive-ready reports, dashboards, and presentations, explaining both insights and limitations.
- Support governance and regulatory reporting through accurate, well-documented data preparation.
- Improve analytical processes and reporting through automation, standardisation, and continuous improvement.
The ideal candidate will have 4-5 years of experience using analytics to support business or organisational decision-making, with experience working with people or workforce data, including confidential information. They will be able to translate complex analyses into clear, accessible insights for non-technical audiences, and have experience managing, querying, and analysing data using tools such as SQL, Python, R, Tableau, PowerBI, or similar.