Summary
Overview
Work History
Education
Skills
Timeline
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NAZIA RAHMAN

Huntington,NY

Summary

Experienced People Analytics leader with a Ph.D. in Psychometrics and Quantitative Psychology and over 10 years of expertise in employee research, data analysis, dashboard management, analytics platforms, and providing actionable recommendations to enhance people processes, platforms, and products. Adept at spearheading workforce analytics initiatives across the employee life cycle, enabling data-driven decision-making, and collaborating with cross-functional teams and C-suite leaders to deliver strategic insights that drive business performance. Proficient in survey design, statistical analysis, predictive modeling, forecasting, data governance, and communicating results and recommendations to both technical and non-technical audiences. Passionate about harnessing human capital to inform and shape strategic people decisions by working on projects that impact large enterprises.

Overview

14
14
years of professional experience

Work History

Manager, People Analytics and Data Science

Penske
New York, NY
08.2023 - Current
  • Led global teams of data engineers, scientists, and analysts to implement HR analytics and data science initiatives in Talent Acquisition, Retention, DEI, Employee Listening, and Talent Development, to optimize talent strategies.
  • Developed a comprehensive data warehouse strategy for leveraging AI by collaborating with HR and IT teams.
  • Leveraged advanced statistical and machine learning models to assess HR strategy impact, such as DEI, union risk, and flight risk.
  • Created solutions to transform complex data into strategic recommendations for C-suite executives and business leaders.
  • Standardized definitions with HR and IT groups, ensuring improved data processing and analysis.
  • Provided thought leadership in initiatives like the Retention Committee and Workforce Analytics to enhance talent outcomes for over 50,000 employees.
  • Delivered insights that led to a 10% increase in employee satisfaction by revamping the employee engagement program and designing a new-hire listening strategy.
  • Developed a predictive model to identify high-risk employees, enabling HRBPs to conduct an ongoing stay interview program, and reducing turnover by 12%.

Research Scientist – HR (PXT)

Amazon
New York, USA
05.2022 - 05.2023
  • Collaborated with HR, engineering, and product leaders continuously to create a vision and strategy to design and implement a research framework to benchmark and track the progress of talent pipeline programs (recruiting, onboarding, skill development, manager effectiveness), and iterate over time.
  • Partnered with HR colleagues to understand the analytics needs, proactively proposing technical solutions to their problems by generating hypotheses, using knowledge of best-in-class analysis and modeling techniques, and providing insights and actionable recommendations.
  • Helped bring executive awareness about manager effectiveness, manager span of control, fallout rates, and internal mobility metrics that helped change how HR metrics were ingested and utilized to bring positive changes.
  • Designed, validated, and managed the deployment of a large-scale onboarding and new hire survey, providing insights that led to a wide revamp of employee experience initiatives for 80,000 employees.
  • Delivered reports and presentations to the executive team that simplify complex research results using data visualizations and recommendations for program improvements that adhere to Amazon’s conventions on clear and direct communications.
  • Supervised, coached, mentored, and trained associates and junior scientists on statistical methodologies, data visualization, and report writing to track HR initiatives, and evaluate business metrics.

Founding Member – Research & Analytics

OnoArk
Princeton, USA
05.2020 - 04.2022
  • Company Overview: advisory role in agri-fintech startup
  • Managed and mentored a team of data analysts and associates to helped build the foundation of people analytical capabilities throughout the HR organization
  • Led and executed a roadmap to report on workforce metrics, insights, and impact, advising leaders and investors on strategic talent solutions linked to business performance
  • Created robust talent analytics policies related to data governance to ensure high standards of data quality, accuracy, and integrity throughout the company in alignment with business goals
  • Integrated data from multiple HR systems to create a cohesive, end-to-end view of the employee lifecycle, ensuring data consistency and accuracy across platforms
  • Developed and implemented key reporting initiatives on hiring, talent acquisition, employee engagement, retention, diversity & inclusion, and internal mobility, directly influencing business decisions across the organization
  • Partnered with executives and the HR team to create high-level presentations and materials for board meetings, company-wide initiatives, and strategic decision-making
  • Advisory role in agri-fintech startup

Measurement Scientist – Hiring Sciences

Law School Admission Council
Newtown, USA
08.2013 - 04.2020
  • Managed a team of 5 data analysts and scientists, providing coaching and mentoring to help them develop their analytics skills and achieve their professional goals
  • Supported research related to developing selection instruments, scale development, employee surveys, and used advanced statistics, and quantitative analysis to study outcomes and effectiveness of the tools
  • Increased the predictiveness of the hiring processes, reducing bias via interviews and assessments, and ensuring equitable outcomes in the recruitment decisions by conducting adverse impact studies
  • Developed algorithms, automated processes, and internal documentation to clean, integrate, and evaluate large datasets from multiple sources using statistical software
  • Oversaw the administration of several vendor agreements and financial plans for the purpose of conducting assessments and surveys
  • Championed diversity and inclusion initiatives by providing actionable insights and recommendations for improving organizational diversity and employee experience across the company
  • Conducted experiments to study the impact of different types of interviewing techniques on candidate performance and retention in their first year at the job

Graduate Research Associate - Psychometrics

College Board
New York, USA
08.2011 - 08.2013
  • Led large-scale data analytics projects in support of high stakes recruitment assessments by creating automated statistical programs, developing complex queries, and performing extensive programming to access, transform, and analyze data
  • Delivered insights into data analytic research results to internal stakeholders to inform iterative improvements to products
  • Designed and conducted Monte Carlo simulation studies to evaluate learning outcomes and compare performance of various statistical software packages

Education

Ph.D. - Psychometrics and Quantitative Psychology

Fordham University
Bronx, NY
01-2013

M.A. - Clinical Psychology

S.N.D.T University
Mumbai, India
01-2004

B.A. - Psychology

S.N.D.T University
Mumbai, India
01-2002

Skills

  • SQL
  • R
  • Python
  • Tableau
  • Power BI
  • QuickSight
  • Excel
  • SAS
  • Workday
  • Taleo
  • Oracle FDI
  • Regression
  • Classification
  • Clustering
  • Time Series Forecasting
  • Hypothesis Testing
  • Strategic planning
  • A/B Testing
  • Predictive Modeling
  • Data Mining
  • Data Warehousing
  • Data Governance
  • Data Integrity

Timeline

Manager, People Analytics and Data Science

Penske
08.2023 - Current

Research Scientist – HR (PXT)

Amazon
05.2022 - 05.2023

Founding Member – Research & Analytics

OnoArk
05.2020 - 04.2022

Measurement Scientist – Hiring Sciences

Law School Admission Council
08.2013 - 04.2020

Graduate Research Associate - Psychometrics

College Board
08.2011 - 08.2013

Ph.D. - Psychometrics and Quantitative Psychology

Fordham University

M.A. - Clinical Psychology

S.N.D.T University

B.A. - Psychology

S.N.D.T University

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