Staff Data Analyst

TL;DR

Staff Data Analyst: Transforms complex datasets into a cohesive narrative for Procore’s leadership with an accent on data storytelling, executive-level dashboard design, and cross-functional leadership. Focus on converting raw product telemetry into a clear picture of business health and advising product and executive leadership on strategic trade-offs using predictive modeling and historical performance data.

Location: Must be based in Austin, Texas

Salary: 137,040.00 - 188,430.00 USD Annual

Company

hirify.global provides construction management software.

What you will do

• Develop and maintain high-impact executive dashboards that track Procore’s "North Star" metrics and global business performance.
• Conduct strategic deep-dive analyses to identify long-term trends in user behavior, product adoption, and market expansion.
• Synthesize disparate data sources inclusive of product usage, financial health, and customer feedback to provide a holistic view of the business.
• Standardize analytical frameworks and reporting structures across the Enterprise Data team to ensure a single source of truth for leadership.
• Translate complex technical findings into concise, non-technical executive summaries and presentations for the C suite.
• Audit product data quality and instrumentation to ensure the integrity of the data powering executive-level reports.

Requirements

• Bachelor’s or Master’s degree in Data Analytics, Statistics, Finance, Business, or a related quantitative field.
• Minimum of 8+ years in data analytics or business intelligence, with significant experience supporting executive-level stakeholders.
• Expert-level SQL and experience with BI visualization tools such as Tableau, Looker, or Power BI at an enterprise scale.
• Experience with Databricks or Snowflake is required
• Deep understanding of product analytics, including retention curves, cohort analysis, and funnel optimization.
• Exceptional communication skills with the confidence to present to and challenge senior leadership based on data-driven findings.