# Data Analyst

**Company**: AppsFlyer
**Location**: Herzliya
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/appsflyer/jobs/8882917002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5a9a0078-718

## Description

AppsFlyer is a cutting-edge technology company that specializes in mobile attribution and marketing analytics.

The PR&D Analytics & FinOps team helps ensure that product and R&D leadership make data-driven decisions. It supports the organisation by connecting critical data aspects, allowing us to see the bigger picture, providing insights, and leading the organisation in the right direction.

The PR&D Data Analyst is the technical backbone of the team- building the data infrastructure and automation that let our FinOps and product/R&D analytics processes run on AI. This role owns the engineering side of our data pipelines end to end, making sure our data is reliable, well-structured, and ready for both human and AI consumption.

## What you’ll do

- Build data processes and structures that make the team's data usable and accessible for AI/LLM consumption.

- Own the engineering and infrastructure of all data pipelines across the team's domains: build, run, and maintain them so they're reliable, well-structured, and performant.

- Design and build automations that convert existing team processes across both, FinOps and product/R&D analytics, into AI-based workflows.

- Serve as the technical connector between the FinOps and product/R&D analytics tracks, supporting both with shared, well-engineered data infrastructure.

- Troubleshoot and optimise existing pipelines and automations, proactively identifying points of failure or inefficiency.

- Collaborate closely with analysts on both tracks to understand data needs and translate them into robust solutions.

## What you have

- 3-5 years of experience in data engineering, analytics engineering, or a similar hands-on 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/visualisation 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

## Bonus points

- Hands on experience with automation tools (such as Make)

- Proficiency in Python/ other programmatic languages for automation and data processing

- Experience with building AI agent-based workflows

## Skills

### Required
- SQL
- Airflow
- dbt
- Looker
- Tableau
- Claude Code
- Cursor
- Codex
- Python

### Nice to have
- Make
- AI agent-based workflows

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/appsflyer/jobs/8882917002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)