7 дней назад
Data Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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