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7 дней назад

Data Analyst (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Analyst (AI) (dbt/BigQuery/Looker): Analyzing product signup, activation, feature adoption, retention, and launch performance with an accent on event tracking, data modeling, and decision-oriented insights. Focus on extending dbt models, building Looker dashboards, investigating metric anomalies, and turning repeatable analyses into AI-agent workflows.

Location: Tel Aviv District, Israel; hybrid work

Company

hirify.global provides a SaaS platform for managing deskless teams, including scheduling, training, tasks, communication, and daily operations.

What you will do

  • Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement.
  • Analyze signup conversion, first-day behavior, feature adoption, retention, and release performance.
  • Provide leadership with trusted insights and actionable recommendations for strategic product initiatives.
  • Define and validate analytics events and integrate them into usage, 360, and feature-usage models.
  • Extend and validate dbt models through pull requests, code review, and CI.
  • Build Looker dashboards, investigate anomalies and tracking failures, and automate repeatable analytical workflows with AI agents.

Requirements

  • 3+ years of experience in product or growth analytics within a fast-paced SaaS or web company.
  • Advanced SQL skills and experience with large event datasets.
  • Production experience with dbt, including data lineage, DAGs, testing, and CI.
  • Experience with Git-based workflows, branches, pull requests, and code reviews.
  • Experience building decision-oriented dashboards in Looker or a comparable BI platform.
  • Practical experience using AI agents in analytical or engineering workflows, plus strong communication and business judgment.

Nice to have

  • Python experience.
  • Background in statistics, experimentation, or A/B testing.
  • Experience with B2B, multi-tenant products and company- and user-level behavioral data.
  • Experience building agent skills, rules, n8n workflows, Cursor projects, or internal data agents.

Culture & Benefits

  • Training and development are treated as long-term investments.
  • Supportive, encouraging, and collaborative work environment.
  • Weekly happy hours and holiday parties.
  • Opportunity to contribute to a product used by more than 80,000 businesses worldwide.

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