Data Analyst
Location: Tel Aviv, Israel (תל אביב) · Category: Data & Analytics · Seniority: Mid · Work model: Hybrid
The company
We are a fast-growing B2C entertainment startup building a mobile-first streaming product for on-demand viewing. We pair original content with a data- and AI-led discovery experience, and we are scaling quickly with a large and growing international audience.
Responsibilities
- Reporting & Dashboards: Own end-to-end reporting — build, maintain, and improve dashboards (Looker, Tableau, Power BI, or similar) — and ensure the pipelines feeding them are accurate, timely, and well-documented.
- Analysis & Insight Generation: Turn raw data into clear, actionable recommendations by analyzing funnels and attribution, tracking core KPIs (CAC, LTV, ROAS, retention), and proactively surfacing opportunities rather than waiting to be asked.
- Data Integration & Engineering: Define and validate tables and data models, define BI events and tracking specs with product and engineering, and work closely with the data engineering team to keep data clean, unified, and query-ready across analytics, ad/campaign, CRM, and product data sources.
- Experimentation: Support or run A/B tests across campaigns, product features, or content, applying statistical rigor to test design and readouts.
- Stakeholder Communication: Translate complex data into clear narratives for non-technical stakeholders, and present findings with a structured, problem-first point of view rather than just executing requests as asked.
Requirements
- 4+ years in analytics, business intelligence, or a similar analytical role.
- Strong SQL and hands-on experience with BigQuery, Presto, or similar large-scale databases/warehouses.
- Hands-on experience with at least one BI tool (Looker, Tableau, Power BI, or similar).
- Experience building tables/data models and defining BI events, ideally in partnership with data engineering.
- Experience working with digital data sources.
- Solid grasp of funnels, attribution modeling, and core performance KPIs.
- Able to communicate complex data clearly to non-technical stakeholders.
- High attention to detail; structured, problem-solving mindset.
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