Description

Principal Workforce Analyst

Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering-for each other, for our customers, and ultimately for the people who rely on the services we support.
Discover what your 25,000 future colleagues already know:

Why Syneos Health
. We are passionate about developing our people, through career development and progression supportive and engaged line management technical and therapeutic area training peer recognition and total rewards program.
. We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life.
. We are continuously building the company we all want to work for and our customers want to work with. Why Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

Shift Timings: 02PM to 11 PM IST

Education

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Analytics, Human Resources, or a related discipline.
• Master's degree preferred.

Experience

• Preferred: 8+ years of overall analytics experience.
• Minimum: 5+ years of relevant experience in workforce analytics, HR analytics, business analytics, people analytics, or a related analytical discipline.
• Demonstrated experience building predictive or statistical models in a business environment.

Technical Skills

• Advanced knowledge of statistical modeling and predictive analytics.
• Hands-on experience with Logistic Regression, Random Forest, KNN, and comparable analytical techniques.
• Strong Power BI capability, including data modeling, DAX, dashboard development, and visualization.
• Advanced SQL skills with the ability to query and manipulate large datasets.
• Experience working with enterprise data warehouses, data marts, or similar data environments.
• Strong analytical thinking and problem-solving capability.

Business & Consulting Skills

• Excellent written and verbal communication skills.
• Strong stakeholder management and consulting capability.
• Ability to translate technical findings into clear business insights.
• Experience presenting to senior leadership or executive audiences.
• Strong business acumen and ability to work effectively in a global, matrixed environment.

Preferred Qualifications

• Workforce Analytics, People Analytics, or HR Analytics experience.
• Experience with Workday, HRIS platforms, or workforce management systems.
• Experience supporting workforce planning, talent analytics, or organizational effectiveness initiatives.
• Exposure to additional machine learning or advanced analytics frameworks.

KEY RESPONSIBILITIES

Workforce Analytics & Reporting

• Develop and deliver workforce analytics, dashboards, scorecards, and executive reporting solutions.
• Analyze workforce trends including headcount, attrition, hiring, internal mobility, talent availability, and organizational effectiveness.
• Partner with HR, Talent Acquisition, Finance, and business leaders to identify reporting and analytics requirements.
• Translate complex workforce data into clear insights and actionable recommendations.

Statistical Modeling & Predictive Analytics

• Design, build, validate, and deploy predictive analytics models that support workforce decision-making.
• Develop predictive solutions for employee attrition risk, hiring demand forecasting, workforce planning, talent supply and demand, and organizational trends.
• Apply statistical and machine learning techniques including Logistic Regression, Random Forest, K-Nearest Neighbors (KNN), classification models, regression techniques, and segmentation or clustering.
• Evaluate model performance, document assumptions and limitations, and communicate business implications to stakeholders.

Data Management & Technical Leadership

• Build scalable data models and reporting frameworks using Power BI and SQL.
• Partner with IT and data engineering teams to strengthen data quality and analytics infrastructure.
• Promote consistent metric definitions, data integrity, documentation, and governance across reporting solutions.
• Recommend improvements to workforce analytics processes, methodologies, and self-service capabilities.

Executive Consulting & Data Storytelling

• Present insights and recommendations to senior leaders and executive audiences.
• Develop executive-ready narratives that connect workforce trends to business outcomes.
• Support strategic planning discussions through evidence-based recommendations.
• Influence decision-making through effective communication, business acumen, and stakeholder partnership.

Project Leadership

• Lead complex analytics initiatives from initial scoping through implementation and adoption.
• Manage multiple priorities while maintaining quality, accuracy, and timely delivery.
• Mentor analysts and share analytical practices, methods, and technical knowledge across the team.
• Contribute to the continued evolution of the Workforce Analytics roadmap and predictive analytics strategy.

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Summary

The Principal Workforce Analyst is a senior individual contributor responsible for transforming workforce data into strategic business insights. The role combines advanced analytics, statistical modeling, data storytelling, and workforce consulting to support enterprise decision-making. The successful candidate will bring strong technical expertise in predictive analytics and statistical modeling, along with the ability to communicate complex findings to executive leadership in a clear, practical, and actionable manner. The role will lead the development of predictive workforce solutions, workforce planning analytics, and executive reporting capabilities using Power BI, SQL, and modern analytical techniques.