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Senior Workforce Data Analyst
Syneos Health. Deliver data-driven insights that inform talent strategies, workforce planning, and organizational decision-making .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in HR analytics and workforce planning, utilizing advanced tools like Power BI and Excel to deliver data-driven insights and predictive analytics. Capable of translating complex data into actionable strategies while fostering collaboration across HR and business teams.
Highest-signal resume keywords
HR AnalyticsWorkforce PlanningPower BI Dashboard DevelopmentData StorytellingPredictive Analytics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical AnalysisForecasting MethodologiesSQLDAXExcel Automation TechniquesWorkday ReportingData ModelingPredictive Analytics ModelsWorkforce Metrics
Soft Skills
Problem-SolvingCritical ThinkingCommunicationCollaborationInfluencing Stakeholders
Tools & Technologies
Power BIWorkdayDatabricksExcelData WarehousesSurvey Platforms
Industry Keywords
Talent AcquisitionEmployee LifecycleOrganizational EffectivenessData GovernanceData Quality
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Deliver data-driven insights that inform talent strategies, workforce planning, and organizational decision-making
- Support the design, development, and delivery of workforce analytics, dashboards, reports, forecasting models, and predictive insights
- Serve as a Subject Matter Expert for Syneos HR data, workforce metrics, systems, and reporting structures
- Partner with HRBPs, COEs, business leaders, and cross-functional teams to translate business challenges into analytical solutions
- 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 for hiring strategies, capacity planning, and business decision-making
- Support predictive analytics models related to attrition, hiring demand, workforce trends, and talent outcomes
- Analyze and integrate data from Workday, Power BI, Databricks, survey platforms, Excel, and other enterprise systems
- Build, enhance, automate, and maintain dashboards, scorecards, and recurring reports
- Present actionable insights and recommendations through data storytelling and visualization
- Support Business Development and Proposal activities with workforce analytics, market intelligence, staffing assumptions, and data-driven insights
- Support 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
- Automate manual reporting processes and streamline workflows
- Develop and maintain reporting documentation, metric definitions, data dictionaries, process maps, and user guides
- Promote data literacy and self-service analytics
- Share knowledge, mentor junior analysts, solve complex business problems, and deliver workforce analytics solutions
Requirements
What you’ll need- Bachelor's degree required in Data Science, Information Management, Human Resources, I/O Psychology, Computer Science, Mathematics, Statistics, Economics, or a related field
- 5+ years of experience in HR analytics, workforce analytics, people analytics, workforce planning, or related reporting and analytical roles
- 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
- 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
- Demonstrated ability to translate complex data into actionable insights and compelling business narratives
- Experience managing multiple priorities and delivering high-quality work in a fast-paced environment
- Strong problem-solving, critical thinking, and analytical skills
- Excellent written, verbal, and presentation skills
- Ability to influence stakeholders and build strong partnerships across HR, business, and technical teams
- Ability to work independently and drive projects from concept through implementation
- Collaborative mindset with a commitment to teamwork, knowledge sharing, and continuous learning
- Comfortable navigating ambiguity and evolving business requirements
Benefits
Comp & perks- Career development and progression
- Supportive and engaged line management
- Technical and therapeutic area training
- Peer recognition
- Total rewards program
- Inclusive culture
- Collaborative, agile work environment