Senior Workforce Analyst

You will be responsible for building automated pipelines, visualizations, and advanced analytics models, partnering closely with HR, Finance, TA, and IT to ensure our data is clean, integrated, and actionable. This role is ideal for someone comfortable operating in a startup-like environment, building from the ground up, working in the grey, and helping shape structure where it doesn’t yet exist.

• Leaders access clean, standardized dashboards tied to business KPIs and financials.
• Translate metrics into leader-friendly visuals and narratives that connect people outcomes to business and financial impact.
• Partner with HRIS/IT to improve front-end data capture processes (e.g., standardizing prior employer, termination reasons, job change fields).
• Operate effectively in a fast-evolving environment, balancing structure with flexibility, and helping build processes, standards, and tools where they don’t yet exist.
• Write efficient SQL queries to clean, join, and aggregate workforce datasets.
• Automate recurring reporting processes and create self-service data products for HRLT and business leaders.
• Design, build, and maintain dashboards in BI tools (Tableau, Power BI, or future-state solutions such as Visier or internal build).
• Ensure secure, governed access (RBAC/ABAC) to sensitive HR data.
• Apply NLP techniques to unstructured data (survey comments, case management tickets, exit interview text) to extract insights.
• Build and operationalize predictive models (turnover risk, cost of attrition, hiring funnel efficiency, pay equity).
• Contribute to the data dictionary and enforce consistent metric definitions.
• Data pipelines are automated and reliable, reducing manual reporting effort.
• Ingest, transform, and prepare data from multiple HR systems (UKG, Oracle, ADP, SuccessFactors, iCIMS, Cornerstone) and Salesforce into the enterprise data warehouse.
• Use Python/R to perform statistical modeling and exploratory data analysis.
• Train HRBPs and managers on how to use dashboards, interpret metrics, and apply insights in decision-making.

We are seeking a Senior Workforce Analytics professional with strong technical skills to help build the next generation of QXO’s people analytics capability. This is a hands-on role, working directly with our data warehouse, BI tools, and coding environments to design and deliver dashboards, standardized reporting, and predictive analytics.

QXO Background

Advanced Analytics & Modeling

• Comfortable working in ambiguous environments and building from the ground up, thrives in a startup-style culture of experimentation and iteration.
• Familiarity with HRIS and ATS data (UKG, SuccessFactors, Oracle, ADP, iCIMS).
• Excellent communication skills, able to explain complex analyses to executives.
• Bachelor’s degree, in Data Analytics, Computer Science, HR, Business, or related field (Master’s preferred).
• Experience building dashboards in Tableau, Power BI, or equivalent BI tools.
• Proficiency with Python or R for data transformation and modeling.
• 5+ years in Workforce/People Analytics or Business Analytics with strong technical focus.
• QXO has stronger data governance, cleaner inputs, and a culture of using data for decision-making.
• HRBPs and managers are trained and confident in using self-service data tools.
• Turnover cost models and predictive analytics inform real workforce decisions.
• Understanding of data governance, security, and workforce metric definitions.
• Expertise in SQL (BigQuery, Snowflake, or similar).