Senior Analyst, Recruiting Data Analytics

Jobtailor; California (MO); On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking an analytics professional to build, validate, and deploy predictive models that forecast hiring trends, attrition risks, and talent gaps. You will apply regression, classification, and NLP techniques to workforce data and translate outputs into strategic recommendations for recruiting leadership.

You will maintain Tableau dashboards and integrate advanced data models into visualization tools, while automating reporting to scale insights across the organization.

Qualifications

• Must have strong foundation in ML concepts and predictive modeling for business/HR use cases.
• Experience designing and maintaining dashboards across data platforms.
• Ability to translate model outputs into actionable insights for leadership.

Responsibilities

• Build, validate, and deploy predictive analytics models for hiring trends and attrition risks.
• Apply ML techniques to uncover insights within recruiting data.
• Translate model outputs into actionable recommendations for leadership.

Skills

Machine learning concepts

Predictive modeling

Dashboards

Data analytics

Tools

Python

R

SQL

Tableau

Job description

Responsibilities

• Build, validate, and deploy predictive analytics models to forecast hiring trends, attrition risks, and talent supply gaps
• Apply machine learning techniques (such as regression, classification, or natural language processing) to uncover deeper insights within recruiting and workforce planning datasets
• Translate complex ML model outputs into actionable, strategic recommendations and clear data stories for recruiting leadership
• Maintain and manage key Tableau dashboards, integrating predictive insights and advanced data models into user-friendly visualization tools
• Automate manual reporting workflows and pipeline tasks to scale insight delivery across the organization
• Partner with Finance, Workforce Planning, IT, and Data Engineering to align data pipelines and scale the infrastructure required for advanced analytics
• Adapt quickly to changing priorities to ensure timely delivery in a dynamic environment

Requirements

• 4+ years of professional experience in data analytics, people analytics, or recruiting analytics
• Strong foundational knowledge of machine learning concepts and predictive modeling methodologies applied to business or HR challenges
• Proficient in using Python or R for data manipulation, statistical analysis, and machine learning libraries (e.g., scikit‑learn, pandas)
• Strong intermediate SQL skills for querying, data preparation, and pipeline optimization
• Proven experience designing and maintaining complex dashboards
• Ability to adapt quickly to changing priorities in a dynamic environment, with a strong curiosity to continuous upskilling in AI, agentic tools, and emerging technical languages