Full-Time Workforce Analytics Manager

Job Summary

We are looking for a Workforce Analytics Manager with a strong foundation in data analytics and a passion for building intelligent, AI-powered solutions. This role is ideal for someone who thrives at the intersection of data science, product thinking, and stakeholder engagement. You will play a key role in designing and deploying Agentic AI-driven products that optimize workforce performance and decision-making.

This is an Individual Contributor (IC) role with high visibility and strategic impact.

Key Responsibilities

• Agentic AI Product Development: Leverage Agentic AI frameworks to build intelligent, autonomous systems that support workforce planning, forecasting, and optimization.
• Advanced Data Analytics: Analyze complex datasets using tools like SQL, Python, and Power BI to uncover trends, inefficiencies, and opportunities.
• Visualization & Storytelling: Create compelling dashboards and visual narratives that translate data into clear, actionable insights for senior leadership.
• Stakeholder Engagement: Collaborate with senior global stakeholders to understand business needs, present insights, and influence strategic decisions.
• Tool Integration: Work with workforce management platforms such as Kronos, Saviom, and Replicon to extract and analyze operational data.
• Exploratory Data Analysis (EDA): Conduct deep-dive analyses to identify patterns, anomalies, and areas for improvement.
• Process Optimization: Recommend and implement data-driven improvements to workforce processes, leveraging automation where applicable.

Requirements

• 5+ years of experience in data analytics, preferably in workforce optimization or operations.
• Proven experience in building or contributing to Agentic AI or intelligent automation solutions.
• Strong command of: SQL and Python (Pandas, NumPy), Power BI or similar visualization tools, Statistical analysis and hypothesis testing
• Expertise in data storytelling—translating complex data into business-friendly insights.
• Excellent communication and stakeholder management skills, especially with senior leadership.
• Experience working with workforce tools like Kronos, Saviom, or Replicon.
• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred).

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