Data Analyst
AppsFlyerMobile Attribution company
Herzliya, IsraelMid
Google
General Atlantic
Salesforce Ventures
Meta
Unity
Moloco
Data & AI
About the role
TL;DR
The Data Analyst builds data processes and structures for AI/LLM consumption.
- •The PR&D Data Analyst builds data processes and structures for AI/LLM consumption.
- •They own the engineering and infrastructure of data pipelines, ensuring reliability and performance.
- •Key Responsibilities Build data processes and structures for AI/LLM consumption.
- •Own the engineering and infrastructure of data pipelines.
- •Design and build automations for AI-based workflows.
- •Serve as the technical connector between FinOps and product/R&D analytics.
- •Troubleshoot and optimize existing pipelines and automations.
- •Collaborate closely with analysts on data needs and solutions.
- •Requirements 3-5 years of experience in data engineering, analytics engineering, or a similar technical data role.
- •Excellent SQL skills.
- •Strong hands-on experience building and maintaining data pipelines (e.g., Airflow, dbt, or similar orchestration/transformation tools).
- •Experience with BI/visualization tools (Looker, Tableau, or similar).
- •Hands-on experience working with AI tools (e.g., Claude Code, Cursor, Codex, or similar) as part of a daily workflow, and building AI-consumable data structures.
- •Degree in Industrial Engineering, or a similar field.
- •Independent, able to juggle multiple technical priorities across domains simultaneously.
- •All-in approach with high accountability, a sense of ownership, and passion.
- •Good communication skills
- •able to work cross-functionally with both FinOps and product/R&D analysts.
Required skills
SQLAirflowdbtLookerPython
Nice-to-have skills
Python
Tech stack
SQLAirflowdbtLookerPython