Data Scientist - Workforce Analytics

Responsibilities

• Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders.
• Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau.
• Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting.
• Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment.
• Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization.
• Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material.
• Participating in internal and external working groups and meetings related to workforce demographic data topics and project management.

Requirements

• Bachelor’s Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
• 7+ years of progressively responsible experience in social science or workforce analytics-related fields.
• Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
• Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
• Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
• Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.

Qualifications

• Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field.
• Advanced proficiency in coding, specifically including SQL for database management.
• Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change.

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