Analytics Engineer

TL;DR

Analytics Engineer (SaaS Data): Transforming raw data into source-of-truth tables and architectures for product analytics, Generative AI, and DaaS with an accent on defining business metrics like activation and retention in SQL. Focus on designing intuitive data logic, optimizing dashboards and funnels, and ensuring consistency across reports.

Location: Tel Aviv, Israel (hybrid: face-to-face office teamwork with part-time remote flexibility)

Company

hirify.global is a public SaaS company on NYSE revolutionizing digital intelligence with data solutions for global businesses like Google and eBay.

What you will do

• Define source-of-truth tables from complex raw data for analysts and business leads.
• Translate product and growth strategies into precise SQL definitions and automated datasets.
• Partner with AI and DaaS teams to provide structured data for models and products.
• Design data logic for product dashboards, growth funnels, and usability.
• Maintain metrics integrity across product and business reports.

Requirements

• Expert SQL skills with focus on complex logic, efficiency, and accuracy.
• Ability to bridge business needs with technical data structures.
• Strong logical data architecture and table design for intuitive querying.
• Understanding of SaaS metrics (ARR, funnels, activation) and product strategy.
• Proficiency in BI tools like Looker or Tableau.
• B.Sc. in Industrial Engineering, Information Systems, Economics, Computer Science or related; 1+ years in analytics/technical role.

Culture & Benefits

• High impact on Gen AI, DaaS, and product innovation.
• Exposure to cutting-edge data stack and AI implementation.
• Inclusive, innovative culture with open dialogue and big ideas.
• Competitive compensation and well-being focus.
• Team bonding opportunities and office collaboration.