Sr. Manager, Analytics

Responsibilities

• Partner with HR and business stakeholders to understand strategic priorities and deliver data, reporting, and actionable workforce insights that support business success
• Develop and scale people analytics capabilities that move beyond descriptive reporting toward predictive insights and workforce planning
• Design and deliver executive dashboards, scorecards, and self-service reporting solutions that provide timely, trusted, and actionable workforce insights
• Analyze workforce trends and key drivers impacting areas such as hiring, retention, engagement, organizational effectiveness, and talent development
• Support strategic workforce planning initiatives through data-driven forecasting and analytics

• Identify opportunities to leverage AI-enabled analytics and automation to improve workflow efficiency, automate repetitive reporting and analysis tasks, and accelerate insight generation
• Partner with technical teams to implement scalable analytics solutions that incorporate predictive analytics and intelligent automation where appropriate
• Drive continuous improvement initiatives focused on simplifying processes, reducing manual effort, and increasing scalability across analytics and reporting operations
• Promote strong governance, privacy, and data quality practices related to workforce data
• Serve as a subject matter expert on workforce data, HR reporting processes, and analytics best practices
• Drive continuous improvements in reporting automation, data quality, metric standardization, and visualization design
• Partner with HR technology, IT, and data teams to improve the scalability and reliability of workforce data and analytics platforms
• Establish consistent workforce metrics and governance processes across HR functions

• Build strong relationships with stakeholders across HR, Finance, IT, Talent Acquisition, Total Rewards, and business leadership teams
• Translate complex workforce data into clear, compelling narratives and recommendations for senior leadership
• Lead cross-functional initiatives and influence stakeholders across a highly matrixed environment
• Continuously prioritize efforts and investments based on areas of highest business impact

• 8+ years of progressive experience in People Analytics, Workforce Analytics, HR Strategy, Data & Analytics, Consulting, or related analytical functions, preferably within a high-growth technology company or top-tier consulting organization
• Strong expertise in workforce analytics domains such as workforce planning, talent acquisition, employee engagement, retention, organizational effectiveness, compensation analytics, or talent development
• Experience leveraging AI-enabled capabilities, automation, and advanced analytics to streamline workflows, improve operational efficiency, and enhance decision-making processes
• Demonstrated ability to identify opportunities for workflow optimization and drive adoption of scalable analytics and reporting solutions
• Proven track record of solving complex business problems and using data-driven storytelling to influence senior leaders and drive business outcomes
• Experience developing high-impact dashboards, analytics solutions, or data products that improved operational effectiveness and strategic decision-making
• Strong understanding of HR data ecosystems and reporting platforms, including HRIS and workforce analytics tools
• Experience with analytics and visualization platforms such as Tableau, Power BI, Snowflake, Workday, Visier, or similar technologies preferred
• Strong collaboration, stakeholder management, and influencing skills within highly matrixed organizations
• Outstanding verbal and written communication skills — structured, concise, and executive-ready
• Proven ability to operate effectively in fast-paced environments with competing priorities and evolving business needs
• Bachelor’s degree required;
  Master’s degree preferred. Preferred concentrations include Data Science, Statistics, Organizational Psychology, Economics, Computer Science, HR Analytics, or related quantitative disciplines