Product Analyst (AI)

TL;DR

Product Analyst (AI): Supporting data-informed decision-making for product teams by building analyses, dashboards, and measurement frameworks, with an accent on understanding customer behavior and product performance. Focus on solving complex data problems, uncovering new insights, and translating analytical findings into clear recommendations for product improvements.

Location: Remote, United States

Salary: $99,000–$158,000 USD

Company

hirify.global creates technology to help restaurants and local businesses succeed in a digital world.

What you will do

• Partner cross-functionally to support analytics needs for a specific product area or initiative.
• Write SQL queries and use analytics tools to create datasets and analyses.
• Build and maintain dashboards and recurring reports for key metrics and trends.
• Support experimentation efforts by defining success metrics and analyzing A/B tests.
• Develop a strong understanding of product and operational data sources for accurate reporting.
• Translate analytical findings into clear insights and recommendations for product teams.

Requirements

• Bachelor's degree with a minimum of 5 years of experience in Product Analytics, Data Analysis, Data Science or related field; or a Master’s degree with 3 years of related experience.
• Strong SQL and statistical data modeling skills (e.g., SQL, Python, R).
• Strong experience with analytics and visualization tools (e.g., Amplitude, Heap, Tableau, Looker, Hex, or similar).
• Understanding and application of product metrics, funnels, behavioral analytics concepts, and experimentation.
• Strong communication and storytelling skills, with the ability to distill complex data into clear recommendations.
• Experience translating stakeholder needs and requirements into clear analytical approaches, data architecture, dashboards and insights.

Nice to have

• Experience working in a large-scale data environment, high-growth tech or SaaS company.
• Experience with data modeling, ETL processes, and analytics engineering practices.
• Experience with Hex, Looker, Snowflake, Sigma, Airflow, GitHub, AWS, dbt, python and/or equivalent toolsets plus AI tools.
• Familiarity with Financial and Accounting concepts, data and reporting.

Culture & Benefits

• Competitive compensation and benefits programs.
• AI tools provided across all disciplines to empower faster, more independent, and higher quality building.
• Hybrid work model fostering in-person collaboration while valuing individual needs.
• Commitment to diversity, equity, and inclusion, embracing diversity with authenticity, inclusivity, respect, and humility.

Hiring process

• AI tools support recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews.
• All hiring decisions are made by people.