Rohan Noble

• Partnered with HR leadership to deliver workforce intelligence on trends, talent risks, and organizational performance for strategic decision-making.

• Owned the end-to-end People data landscape, integrating recruitment, performance, engagement, and retention data for a 360° workforce view.

• Applied predictive modeling (XGBoost, Regression, Clustering) in Python to detect early attrition and skill gaps, enabling proactive interventions.

• Built executive dashboards in Power BI, Looker Studio, and Tableau for CHRO, HRBPs, and senior managers, translating data into actionable strategies.

• Conducted employee lifecycle analytics to identify drivers of performance, engagement, and turnover.

• Led salary benchmarking and pay equity analysis across geographies to support compensation strategy and ensure fairness.

• Performed data investigations into anomalies, policy breaches, and HR process gaps, ensuring compliance and accuracy.

• Acted as a data translator between analytics teams and leadership, ensuring insights were linked to measurable business outcomes.

• Designed and implemented an HR data warehouse integrating Workday, ATS, and Payroll APIs, enabling real-time analytics and seamless data management.

• Worked on the entire People data ecosystem, ensuring accuracy, consistency, and integration across all HR functions and global datasets.

• Developed automated dashboards in Power BI and Looker Studio for top stakeholders including the CEO, CFO, CPO, and senior leadership, as well as tailored reports for operational teams.

• Built predictive attrition models in Python (Logistic Regression, Decision Trees), reducing attrition risk by 15%.

• Analyzed payroll data across 12 countries to ensure compliance with regulations and accuracy in tax deductions.

• Created new job catalog, salary structures, and job levels by analyzing millions of records of 12-country salary data in Python, ensuring global alignment and competitiveness.

• Performed data investigations to resolve critical HR issues, identify anomalies, and ensure data accuracy for decision-making.

• Designed compensation benchmarking models to align salary structures with market trends and improve talent competitiveness.

• Conducted workforce planning analysis to provide HR leadership with data-driven hiring and retention strategies.

• Ensured data security and compliance for sensitive HR data, implementing governance protocols and access controls.

• Supported Amazon Ads and Amazon Prime HR teams with talent intelligence, recruitment analytics, and HR system enhancements.

• Partnered with TA leadership, senior recruiters, and HRBPs to define metrics, resolve recruitment challenges, and guide data-driven decisions.

• Collaborated with SDLC teams and data engineers to translate business needs into technical requirements for the Amazon Hire platform.

• Conducted user interviews and workshops, prepared functional specifications, and documented processes to support platform improvements.

• Developed recruitment dashboards in Power BI and Looker Studio tracking pipeline health, hiring velocity, diversity, and recruiter efficiency.

• Automated ATS data flows via APIs for real-time reporting and faster hiring insights.

• Analyzed sourcing channel performance to recommend strategies that improved time-to-fill and reduced cost-per-hire.

• Produced executive-level TA reports summarizing trends, pipeline bottlenecks, and diversity outcomes.