Head of Analytics
On-siteTel Aviv, Tel Aviv, Israel
Job Summary
Lead the analytics team and translate company goals into a clear roadmap for high-impact business decisions. Partner with senior stakeholders across Product, Sales, Marketing, Finance, Customer Success, and Operations to turn strategic questions into measurable actions. Establish governance for KPIs, dashboards, and self-service analytics while implementing AI-assisted capabilities to accelerate insight generation. Mentor analysts, set expectations, and build a high-performance culture focused on accountability and analytical quality. Manage cross-functional collaboration with Data Engineering and Architecture to ensure robust data pipelines and semantic models support current and future business requirements.
Required Qualifications
- Significant experience in analytics, business intelligence, or a related data function within a technology or data-driven company
- Proven experience leading and developing analytics teams, including setting priorities, managing performance, and building strong analytical talent
- Strong business judgment and the ability to connect analytical work to revenue, customer, product, operational, and strategic outcomes
- Experience partnering with senior executives and functional leaders, with the confidence to challenge assumptions and influence decisions
- Strong proficiency in SQL
- A solid understanding of data modeling, BI platforms, analytical methodologies, and modern data environments
- Experience defining company-level KPIs, metric frameworks, and scalable reporting standards
- Strong analytical foundation, including statistical reasoning, cohort analysis, funnel analysis, forecasting, experimentation, and performance measurement
- Ability to communicate complex analytical findings clearly to both technical and non-technical audiences
- Strong understanding of data quality, governance, documentation, and the importance of consistent business definitions
- Demonstrated ability to operate in a fast-growing environment, manage competing priorities, and create structure where processes are still developing
- Bachelor's degree in a quantitative, technical, economic, or business-related field
- Applicants must be authorized to work in the country in which they apply
Desired Qualifications
- Experience with BI tools such as Tableau, Power BI, Looker, or Superset
- Familiarity with modern data stacks and technologies such as dbt, Airflow, BigQuery, Snowflake, ClickHouse, or Postgres
- Experience working across multiple business domains, including Product, Go-to-Market, Finance, Customer Success, and Operations
- Experience building or implementing semantic layers and governed self-service analytics environments
- Practical experience with AI-assisted analytics, analytical agents, natural-language querying, or automated anomaly detection
- Experience in a cloud infrastructure, SaaS, technology platform, or high-growth environment
- An advanced degree is an advantage
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