Principal Analytics Engineer (AdTech)

Location: New York, US; onsite at the New York office

Base salary: $220,000–$260,000/year

Company

hirify.global operates a Native Search advertising marketplace integrated into web browsers, Buy Now Pay Later apps, and AI chat surfaces.

What you will do

• Build analytics-ready datasets and reusable models for core marketplace concepts in partnership with Data Engineering.
• Define, encode, document, and govern canonical metrics with Product, Finance, Measurement, and business teams.
• Create datasets for funnels, cohorts, product adoption, marketplace diagnostics, experimentation, and causal analysis.
• Build curated datasets and semantic layers for Sigma and Tableau, and evaluate R Shiny, Streamlit, and ChatGPT Sites.
• Automate recurring workflows and apply AI to data discovery, SQL generation, and documentation.
• Found and grow the Analytics Engineering function, including hiring and developing analytics engineers.

Requirements

• 10+ years of experience in data analytics, business intelligence, data science, or related disciplines.
• Exceptional SQL and dimensional/data modeling skills.
• Experience building production analytical datasets across Databricks, Snowflake, AWS, or equivalent modern data platforms.
• Experience with BI and self-service analytics tools such as Sigma and Tableau, or data-app solutions such as R Shiny, Streamlit, and ChatGPT Sites.
• Strong opinions on analytics engineering working models, with a focus on durable measurement, immediacy, and reproducibility.
• Ability to select appropriate tools, including dashboards, data apps, and reusable Python notebooks.
• Ability to translate ambiguous business questions into durable analytical data models.
• Strong narrative writing skills for explaining data architecture and analytical insights.

Nice to have

• Experience in advertising technology, marketplaces, search, recommendation systems, or high-volume event data.
• Experience supporting experimentation platforms or product analytics.
• Experience building and deploying data apps with R Shiny, Streamlit, or ChatGPT Sites.

Culture & Benefits

• Culture based on Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness.
• Continuing education, management training, company-wide lunch and learns, and defined career paths.
• Comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401(k) matching.
• Summer Fridays, catered lunches, a stocked kitchen, ZogSports teams, happy hours, and corporate retreats.
• No third-party recruiters or unsolicited agency resumes.