Principal Workforce Analyst

Syneos Health; India; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Syneos Health in India seeks a Principal Workforce Analyst to lead workforce analytics, reporting, and predictive modeling across HR and business functions.

You will develop dashboards in Power BI, build models for attrition and demand forecasting, and collaborate with IT and leadership to drive evidence-based decisions. This senior role requires strong statistical skills, SQL, and the ability to translate complex data into actionable insights.

Qualifications

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

Responsibilities

• 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.
• 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 organization 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.
• 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.

Skills

Analytical thinking

Stakeholder management

Business acumen

Communication

Education

Bachelor's degree in Statistics/Math/Data Science/Analytics

Master's degree preferred

Tools

Power BI

SQL

Workday/HRIS

Data warehouses

Job 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.

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 organization 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 capabiliti