Principal Workforce Analyst

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.