Senior Product Analyst (AI)

TL;DR

Senior Product Analyst (AI): Measuring customer behavior and informing R&D efforts with an accent on measurement frameworks, dashboards, and AI tooling to bring data, analytics, and insights into product development. Focus on product performance and customer outcomes, acting as a trusted advisor to stakeholders and ensuring data drives solid decision making.

Location: Remote, United States

Salary: $119,000—$170,000 USD

Company

hirify.global creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

What you will do

• Partner with product, engineering, data infrastructure, finance, and operations to produce analyses, datasets, and data models for product development.
• Develop systemic knowledge of data from operational systems and product data to continuously improve reporting capabilities.
• Write SQL queries and use analytics tools to create datasets that support product, operational, and revenue reporting, including statistical modeling and forecasting.
• Build scalable tools and dashboards to automate reporting and generate insights for quickly assessing product and process performance.
• Proactively identify areas where analytics can add value outside regular business requests.
• Influence an experimentation culture and build data structures and processes to improve product development through experimentation.

Requirements

• Bachelor's degree in Business, Computer Science, Information Systems, or a related field with 8+ years of experience in Product Analytics, Data Analysis, Data Science, or related field; or a Master’s degree with 6+ years of related experience; or a PhD with 3+ years of experience; or equivalent experience.
• Strong understanding of how analytics supports product development and experience with metric design and standard reporting practices.
• Robust methods for QAing data to ensure accuracy and completeness.
• Strong SQL & statistical data modeling skills (e.g. SQL, Python, R).
• Advanced knowledge of ETL, data pipelining practices, and data model design.
• Experience translating stakeholder needs and requirements into data architecture and dashboard and reporting assets.

Nice to have

• Relevant work experience in a large-scale data environment, high-growth tech, or SaaS company.
• Experience with Hex, Looker, Snowflake, Sigma, Airflow, GitHub, AWS, dbt, python and/or equivalent toolsets plus AI tools.
• Experience using backend data from operational sources (Netsuite, Salesforce, RevPro / Zuora Revenue).
• Familiarity with Financial and Accounting concepts, data and reporting.

Culture & Benefits

• Competitive compensation and benefits programs.
• Total rewards package includes cash compensation, benefits, and equity (if eligible).
• Hybrid work model fostering in-person collaboration while valuing individual needs.
• Diversity, Equity, and Inclusion is Baked into our Recipe for Success.