Principal Product Analyst

TL;DR

Principal Product Analyst (Business Analytics): Lead the development of product analytics foundations, measurement frameworks, and reporting infrastructure to empower data-driven decision-making across product teams with an accent on scalable data architecture, experimentation, and cross-functional collaboration. Focus on designing and implementing analytics strategies, driving adoption of tools, and enabling strategic product decisions at scale.

Location: Remote, United States

Salary: $145,000—$232,000 USD

Company

hirify.global creates technology to help restaurants and local businesses succeed in a digital world by enabling business operations, sales growth, customer engagement, and employee satisfaction.

What you will do

• Define and implement measurement framework strategy aligned with Product, Engineering, and Design leadership.
• Lead organization-wide adoption of reporting tools, dashboards, and analytics into product development lifecycle and executive processes.
• Identify gaps and recommend improvements to analytics infrastructure and tooling.
• Develop standards for product data modeling, experimentation, and dashboarding.
• Partner with Product teams to architect telemetry, data capture, and data science models using best-in-class reporting and AI tools.
• Collaborate cross-functionally with Engineering, Data Engineering, Business Intelligence, and Data Platform teams.

Requirements

• Must be based in the United States or able to work remotely within the US.
• Bachelor's degree with 12+ years experience or advanced degree with equivalent experience in Product Analytics, Data Analysis, or Data Science.
• Proven leadership in data/reporting implementation, tool adoption, and stakeholder training.
• Strong skills in SQL, Python, R, statistical modeling, and A/B testing methodologies.
• Experience with data infrastructure, schema design, and ETL/data pipelining.
• Excellent communication and storytelling skills to translate complex data into actionable insights.

Nice to have

• Experience with AI tooling and product data science roadmaps.

Culture & Benefits

• Hybrid work model fostering in-person collaboration and individual flexibility.
• Competitive compensation including base salary, bonuses, benefits, and equity.
• Commitment to diversity, equity, and inclusion.
• Supportive learning culture with AI tools adoption across disciplines.
• Accessible and inclusive hiring process with accommodations for disabilities.