Deloitte People Analytics Lead: Data Science, HRST People Analytics & Reporting in Chicago, Illinois
People Analytics Lead: Data Science, HRST People Analytics & Reporting
People Analytics & Reporting collaborates across Talent and the business to uncover data-driven insights to solve business challenges across the talent lifecycle and enable transformational change. Our teams provide a holistic and client-centric approach that complements our wide range of analytical tools and methods to identify valuable workforce insights which, in turn, fuels the business.
The Data Science team collaborates closely with the Business and Talent to provide leadership, best practices and insight for how analytics can drive more meaningful decisions
We’re looking for a professional to work closely with other Data Science and People Analytics team members to support defined projects that enhance the firm’s performance, productivity, and profitability through its people by conceptualizing analytical projects, mining, collecting and analyzing data, and providing actionable recommendations to guide the firm’s talent strategy across a wide variety of Talent topics including acquisition & mobility, leader/manager development, engagement, inclusiveness, individual/team performance, development, and exit. Partners with functional, geographic, and/or service lines to support the business and firm strategy.
Work you’ll do
Assists in the conceptualization of analytical projects to ensure research is rigorous and based on up-to-date experimental design principles in behavioral/social science.
Integrates multiple systems and data sets to build large and complex data sets and make them usable (e.g., extracting data from new data sources, transforming and cleaning data, working incomplete data sources, implementing and validating quality procedures).
Derives client-relevant, actionable insights from complex statistical and machine-learning (ML) models across a broad spectrum of social science research topics, including Diversity/Equity/Inclusion, workforce efficiency, employee lifecycle management, psychometric tool development, and survey design/analysis.
Applies and communicates advanced regression models and concepts – e.g. multicollinearity, interactions, distributional assumptions, logistic/probit regression analysis
Applies and communicates statistical significance/hypothesis testing concepts – e.g. p-values, confidence intervals, resampling procedures (e.g. permutation testing, bootstrapping).
Keeps up-to-date and introduces latest trends from machine learning and data science research (e.g., natural language processing, deep learning, dimension-reduction algorithms, cluster analysis, etc.)
Conducts scalable data research on Microsoft Azure cloud platforms, primarily on Azure Databricks (Apache Spark-based analytics service).
Implements automated processes for efficiently producing scale models.
Develops logically structured presentations (including story-telling of research/analytics findings) that will be shared at the Talent and business leadership level
Develops and maintains accurate and up-to-date project plans and status reports for all incoming and active projects.
Category: Human Resources
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