Vice President, Rewards Analytics Partner

In the People Analytics & Insights team at Citigroup, we solve business problems with workforce and business data.  We conduct analyses and use behavioral science to provide actionable insights and enable evidence-based decision making. Actionable insights lead to best decisions about people – individuals, teams, and organizations – to drive business performance.

The “Vice President, Rewards Analytics Partner” will be the key relationship manager for various stakeholders and project manage high-impact models and studies that answer key questions.

Key Responsibilities:

• Partner with colleagues across People Analytics and HR to conduct analyses and provide recommendations for actions that will have the maximum impact
• Conduct statistical analyses to test hypotheses
• Visualize findings and tell a compelling story with data to present insights in an effective and usable manner
• Manage projects, including model development, from start to finish, including ideation, design, execution, change management, and iteration
• Lead project teams, providing guidance on execution and ensuring delivery of a final product that exceeds stakeholders’ expectations
• Identify data patterns and trends and provide insights to enhance decision making capabilities
• Gather data to measure the effectiveness of new initiatives and improve analyses going forward
• Stay up to date on developments within the Natural Language Processing and Artificial Intelligence space and to recommend new ways to analyze data

The ideal candidate will have:

• Bachelors/University degree, Master’s degree preferred
• Experience working in analytics in a global environment with complex data
• Knowledge of Human Resources data, terminology and systems, especially with a focus on compensation, benefits, and performance management data
• Excellent presentation and communication skills
• Strong analytical, problem solving and project management skills
• Knowledge of statistical analysis and techniques
• Skills in R, Python, SQL, and/or Tableau are a plus

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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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