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 workplace.

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.

📌 Principal Workforce Analyst (Hyderabad)
🏢 Syneos Health
📍 Hyderabad