Principal Workforce Analyst

Job Summary

Principal Workforce Analyst

Shift Timings: 02PM to 11 PM IST

Education

• Bachelors degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Analytics, Human Resources, or a related discipline.
• Masters 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.