Data Analyst

HerzliyaFull-time2026-10-11 → 2026-11-10

Core

Build data infrastructure, pipelines, and automations to support FinOps and product/R&D analytics, making data reliable and ready for AI/LLM consumption.

Role type

Senior Data Engineer / Analytics Engineer

Builds

Data pipelines, automation workflows, and AI-consumable data structures

Domain

Mobile attribution, marketing analytics, FinOps, AI/LLM

Deliverable

production ML models

Required skills

SQL, data pipeline engineering, orchestration tools (Airflow, dbt), BI/visualization tools, AI tool integration, Python

Preferred skills

Automation tools (Make), AI agent-based workflows, programmatic languages

Technologies

Airflow, dbt, Looker, Tableau, Claude Code, Cursor, Codex, Make

Responsibilities

Build and maintain data pipelines across FinOps and product/R&D domains; design automations converting processes into AI-based workflows; troubleshoot and optimize pipelines; collaborate with analysts to translate data needs into robust solutions.

Seniority

Mid-Senior, hands-on IC

About AppsFlyer

AppsFlyer helps brands make good choices for their business and their customers with its advanced measurement, data analytics, deep linking, engagement, fraud protection, data clean room, and privacy-preserving technologies. Built on the idea that brands can increase customer privacy while providing exceptional experiences, AppsFlyer empowers thousands of creators and 10,000+ technology partners to create better, more meaningful customer relationships.