Communicate complex statistical analyses, results, and implications to both technical and non-technical audiences, collaborating with key COEs to intake and manage stakeholder requests.
Research and implement new technologies and methods across data science, data engineering, and data visualization to continuously improve the team's technical capabilities.
Investigate trends that pose risks to business outcomes or the employee experience, identify behavioral patterns, systematically flag outliers and use data to propose solutions that will raise the bar for all things people-related.
Apply your expertise to key strategic areas, including a close partnership with Talent Acquisition to build models that inform our hiring strategy, from top-of-funnel optimization to quality-of-hire analysis.
Conduct advanced data analysis using leading statistical methods and predictive modeling to identify trends, uncover insights, and make recommendations across the employee lifecycle.
Partner with HR leaders, business stakeholders, and peers in the People Analytics team to translate complex people challenges into data science projects and testable hypotheses.
Collaborate with cross-functional teams, including HRIS, IT, and Finance, to ensure data availability, accuracy, and alignment for analysis.
Requirements
python
sql
machine learning
workday
databricks
5+ years
Proven experience applying advanced statistical methods (e.g., multivariate regression, longitudinal analysis, classification, clustering, NLP) to solve complex business problems.
Strong technical proficiency with a programming language for large-scale analysis (like Python or R) and using SQL to query relational databases.
Experience in the end-to-end development of machine learning models, from training to production, using both structured and unstructured data.
Demonstrated experience or strong interest in applying data science to Talent Acquisition challenges, such as hiring funnel optimization, candidate experience analysis, or predictive workforce planning.
A strategic and consultative mindset, with the ability to proactively identify opportunities, frame business questions, and manage projects in a fast-paced environment.
Experience using platforms such as Workday Reporting and Analytics, Workday Prism, and Databricks.
5+ years of progressive experience in a data science or people analytics role with a strong focus on applying data science to people-related data.
Bachelor’s or Master’s degree in Data Science, Statistics, Industrial-Organizational Psychology, Computer Science, or a related quantitative field, or equivalent experience.
Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data, acting as a steward for data ethics.
Exceptional communication and storytelling skills, with the ability to translate complex data into actionable insights and compelling narratives for diverse audiences.
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
procore considers applicants with arrest or conviction records per fair chance laws; criminal history may affect certain job duties.
Company
Overview
Founded 2003
Year Founded
The company was established with the goal of simplifying construction project management through innovative software solutions.
Largest Construction Tech Company
Global Ranking
Procore stands among the largest private companies in the construction technology sector worldwide.
The company developed a cloud-based software platform designed to streamline collaboration between stakeholders in the construction industry.
Procore’s platform includes tools for project planning, financial management, quality and safety, and field communication.
The platform’s real-time data updates and mobile accessibility are essential for keeping projects on track, improving efficiency, and reducing costs.
Notable clients include large construction firms and contractors that manage complex and multi-million dollar projects.
Procore continues to innovate in the construction tech space, regularly releasing new features and integrations to enhance project management and workflows.
Culture + Values
They champion each other.
They build what they believe in.
They do the right thing.
They take ownership.
They focus on outcomes.
They believe in the power of people.
Environment + Sustainability
2030 Target
Net Zero Emissions
Committed to achieving net zero emissions by 2030.
100% Renewable Energy
Data Centers Powered
Transitioned to 100% renewable energy for its data centers.
Actively tracks and works to reduce emissions through energy-efficient data centers, green initiatives, and sustainable office practices.
Encourages a sustainable work culture through the integration of green building and energy management tools.
Inclusion & Diversity
By 2025
Gender Parity Target
The company aims to achieve gender parity across all levels of leadership.
30%
Women Globally
Women make up 30% of the workforce, with efforts to increase representation in technical roles.
Committed to building a diverse and inclusive workforce.
Actively measures and reports on diversity in hiring, including gender and ethnicity, and implements programs to support underrepresented groups.