Senior Workforce Data Analyst

JOB RESPONSIBILITIES

• Serve as a Subject Matter Expert (SME) for Syneos HR data, workforce metrics, systems, and reporting structures.
• Partner with HRBPs, COEs, business leaders, and cross-functional teams to understand business challenges and translate them into analytical solutions and insights.
• Conduct advanced workforce analysis across the employee lifecycle, including talent acquisition, workforce planning, performance, engagement, retention, turnover, diversity, and organizational effectiveness.
• Develop workforce forecasts and scenario-based analyses to support hiring strategies, capacity planning, and business decision-making.
• Support the development, validation, and enhancement of predictive analytics models related to attrition, hiring demand, workforce trends, and talent outcomes.
• Analyze and integrate data from multiple sources, including Workday, Power BI, Databricks, survey platforms, Excel, and other enterprise systems to identify patterns, trends, and opportunities.
• Build, enhance, automate, and maintain dashboards, scorecards, and recurring reports using Power BI, Workday, Excel, and other reporting tools.
• Present actionable insights and recommendations to HR and business leaders through effective data storytelling and visualization techniques.
• Support Business Development (BD) and Proposal activities by providing workforce analytics, market intelligence, staffing assumptions, and data-driven insights that support pricing strategies and client expectations.
• Support key HR initiatives, including talent reviews, succession planning, performance management, engagement surveys, compensation analysis, and strategic workforce planning.
• Partner with HRIS, IT, and data teams to improve data governance, data quality, metric definitions, and reporting consistency across platforms.
• Identify opportunities to automate manual reporting processes and streamline workflows to improve efficiency, scalability, and user experience.
• Develop and maintain reporting documentation, metric definitions, data dictionaries, process maps, and user guides to support transparency and consistency.
• Promote data literacy and self-service analytics by enabling stakeholders to access, understand, and leverage workforce data effectively.
• Collaborate closely with team members to share knowledge, mentor junior analysts, solve complex business problems, and deliver best-in-class workforce analytics solutions.

QUALIFICATION REQUIREMENTS

Education

• Bachelor's degree required in Data Science, Information Management, Human Resources, I/O Psychology, Computer Science, Mathematics, Statistics, Economics, or a related field.
• Advanced degree preferred.

Experience

• 5+ years of experience in HR analytics, workforce analytics, people analytics, workforce planning, or related reporting and analytical roles, preferably within a global or matrixed organization.

Technical Skills

• Advanced proficiency in Power BI, including dashboard development, data modeling, visualization design, and DAX.
• Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, Power Query, and automation techniques.
• Experience with Workday reporting and workforce data management strongly preferred.
• Experience working with SQL, Databricks, data warehouses, or enterprise data platforms preferred.

Analytics & Business Skills

• Strong understanding of workforce analytics, workforce planning, talent acquisition metrics, attrition analysis, organizational effectiveness, and talent management reporting.
• Knowledge of statistical analysis, forecasting methodologies, hypothesis testing, predictive analytics, and research methods (e.g., regression analysis, correlation analysis, significance testing).
• Demonstrated ability to translate complex data into actionable insights and compelling business narratives for technical and non-technical audiences.
• Experience managing multiple priorities and delivering high-quality work in a fast-paced environment.
• Strong problem-solving, critical thinking, and analytical skills with a focus on continuous improvement.