Data Science & Analytics Topics
Statistical analysis, data analytics, big data technologies, and data visualization. Covers statistical methods, exploratory analysis, and data storytelling.
Human Resources and Recruitment Analytics
Human Resources and Recruitment Analytics covers applying data analysis, reporting, and measurement to talent acquisition, retention, and workforce planning. Candidates should be able to define and interpret common people metrics such as turnover and attrition rates, time to hire and time to fill, cost per hire, candidate funnel conversion rates, source effectiveness, diversity and inclusion measures, employee engagement and promotion rates. Core skills include extracting and preparing data from human resources information systems and other sources, exploratory and root cause analysis, designing and building operational dashboards and executive scorecards, creating analytical reports for hiring funnels and attrition deep dives, forecasting hiring needs, and measuring recruitment effectiveness and return on investment. It also includes designing recruitment reporting frameworks, running experiments or interventions to improve retention and hiring outcomes, constructing business cases for recruitment investments, and communicating findings and recommendations in clear business terms. Candidates should be mindful of privacy, compliance, and bias mitigation when working with people data and familiar with data visualization and dashboarding workflows and stakeholder-driven reporting practices.
Business Intelligence Background
A summary of business intelligence experience including the BI platforms and tools used, types of dashboards and reports built, data volumes and sources, analytical methods, stakeholder consumption patterns, and measurable business outcomes. Candidates should explain how BI efforts influenced decisions, examples of ETL or modeling work, and any leadership or ownership of BI initiatives.