Lead Org Researcher, People Analytics & Reporting, Talent Assessment

Company: Deloitte
Location: Bowie
Posted on: May 4, 2022

Job Description:

Role description

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.
• 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.
• Develops logically structured presentations (including story-telling of research/analytics findings) that will be shared at the Talent and business leadership level
• Prepare and clean large data sets for analysis (e.g., extracting data from new data sources, transforming and cleaning data, working incomplete data sources, implementing and validating quality procedures).
• 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.
• Conducts scalable data research on Microsoft Azure cloud platforms, primarily on Azure Databricks (Apache Spark-based analytics service).
• Develops and maintains accurate and up-to-date project plans and status reports for all incoming and active projects.
  Qualifications
  
  • PhD or Master's degree in Psychology, Statistics, Social Science or related field
  • 2-3 years of applied experience in organizational research and analytics (may be waived for PhD in relevant field)
  • Knowledge about the professional services industry / Deloitte experience a plus
  • Demonstrated accomplishments in the following areas:
  • Use a broad range of analytical skills to analyze data and discover insights to precisely reflect the organization's or client's needs
  • Include processes to ensure deliverable quality through verification and validation of data and results
  • Ability to work independently and manage multiple task assignments
  • Skilled at communicating with cross-functional team regarding deliverables, schedules, and issues
  • Creative problem-solving skills related to team, project, and cross-functional issues
  • Ability to maneuver in a matrix environment, leverage indirect reporting resources, and work well in ambiguous situations
  • Demonstrated capabilities in:
  • Conducting behavioral / social science research
  • Performing data manipulation and analysis in either Python or R.
  • Ability to efficiently use common data manipulation, statistical libraries in Python (e.g., statsmodels, pandas, numpy) or R (e.g., lme4, psych, tidyverse, lavaan). Knowledge of pyspark and/or sparkR is a plus.
  • Ability to perform SQL queries to merge, filter and transform data from large relational databases.
  • Apply advanced regression analyses to understand categorical, ranked and quantitative outcome measures with a deep understanding of regression topics - e.g. multicollinearity, parametric distributions, interaction terms, and link functions (Generalized linear models). Knowledge of mixed-effect/multi-level regression modeling is a plus.
  • Possesses strong exploratory analysis skills
  • Familiarity with a range of disciplines such as: statistical analysis, hypothesis testing, multi-variate analysis, and predictive modeling
  • Communication (excellent written/verbal communication, listening, and facilitation skills.)
  • Consulting skills (client service orientation, conflict resolution, analysis/synthesis of information, negotiation, etc.)
  • Professional judgment (including practical approach, appropriate risk taking, political savvy, and ethical judgment)
  • Ability to work in a remote environment, conscientious of key deadline deliverables, and ability to understand clients' needs from ambiguous requirements
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

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