---
title: 'Data Analyst at AppsFlyer'
canonical: 'https://feeny.ai/job/data-analyst-appsflyer-herzliya-4jy3p2mwfwn4'
type: 'job'
last_seen: '2026-10-14'
---

# Data Analyst at AppsFlyer

- **Company:** AppsFlyer
- **Location:** Herzliya, Israel
- **Posted:** 2026-10-11
- **Last confirmed live:** 2026-10-14
- **Apply:** https://careers.appsflyer.com/jobs/position/8882917002?gh_jid=8882917002

## Job description

AppsFlyer is a cutting-edge technology company that specializes in mobile attribution and marketing analytics. We are known for our rapid deployment of innovative solutions, handling over 150 billion requests daily, focusing on data privacy and scalabilit

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

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

As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.

[“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.”](https://www.appsflyer.com/blog/how-all-in-shaped-our-story-and-could-define-your-career/) Oren Kaniel, CEO

## About AppsFlyer

## Company Overview
- **One-liner**: AppsFlyer provides a privacy-first, AI-powered Modern Marketing Cloud for unified measurement, data collaboration, and marketing analytics across mobile, web, CTV, and desktop.
- **Entity Type**: Private (Series D+; raised $1B in June 2026 at a $2.7B valuation)
- **Headquarters**: San Francisco, California, United States (also global HQ in Herzliya, Israel)
- **Founded**: 2011
- **Founders**: Oren Kaniel (CEO) and Reshef Mann (CTO)

## Core Business
- Primary industry: Marketing technology (MarTech) – mobile attribution, measurement, analytics, data collaboration
- Target customers: B2B – brands, marketers, app developers, and agencies of all sizes (startups to global enterprises)
- Mission: “Deliver AI-powered, privacy-first measurement technologies that turn data into growth opportunities.”

## Products & Services
- **Measurement Suite**: Omnichannel attribution and analytics to measure marketing performance across mobile, web, CTV, and desktop (SaaS).
- **Deep Linking Suite**: Tools for personalized user experiences and seamless cross-platform engagement (SaaS).
- **Data Collaboration Suite**: Privacy-safe data clean room and collaboration platform for secure data sharing with partners (SaaS).
- **Agentic AI Suite**: Autonomous, AI-driven workflows for user acquisition, retention, and marketing optimization (SaaS).

## Market Standing
- **Valuation**: $2.7 billion (as of June 2026)
- **Key Metric**: Total funding raised – over $1.2B (Series A $7.1M, B $20M, C $56M, D $210M in 2020, plus $1B round in 2026)
- **Notable Investors/Partners**: General Atlantic, Google, Meta, Unity, Moloco, Pitango Venture Capital, Qumra Capital, Goldman Sachs, Deutsche Telekom Capital Partners
- **Growth Signals**: 
  - Evolved from mobile attribution to “Modern Marketing Cloud” (Nov 2025)
  - Acquired Devtodev (gaming analytics) and oolo (AI user acquisition) in 2023
  - 15,000+ brands, 100,000+ active apps, 190+ countries reached
  - ~1,600 employees across 20+ offices globally (2026)

## Competitive Advantages
- **Privacy-first architecture**: Built for a world of rising privacy regulations; data clean room and consent-based measurement are core differentiators.
- **Industry standard for mobile attribution**: Recognized as the leading MMP (Mobile Measurement Partner) for over a decade.
- **AI-native platform**: Agentic AI Suite and automated workflows give marketers a competitive edge in efficiency and insight.
- **Global scale and partner ecosystem**: Integrates with Apple, Google, Meta, Amazon, AWS, and 8,000+ technology partners.

## Strategic Focus
- **AI and automation**: Deepening AI capabilities to enable autonomous marketing decisions.
- **Omnichannel expansion**: Moving beyond mobile to unify measurement across CTV, desktop, and offline.
- **Privacy-safe data collaboration**: Growing the Data Collaboration Suite to help brands and partners share insights without compromising privacy.
- **Continued global expansion**: Leveraging 20+ offices to serve local markets and enterprise clients.

## Why Work Here
- **Culture**: Described as “approachable professionals, passionate, flexible, and always learning” – encourages curiosity, experimentation, and learning from mistakes. [appsflyer.com](https://www.appsflyer.com/company/about/)
- **Stock options**: Every employee receives a stock option package. [careers.appsflyer.com](https://careers.appsflyer.com/)
- **Global mobility**: Global Employee Exchange Program (GEEP) lets employees spend a month in another office. [careers.appsflyer.com](https://careers.appsflyer.com/)
- **Perks**: Private health insurance, complimentary fitness classes, environmental sustainability support, flexible work arrangements. [careers.appsflyer.com](https://careers.appsflyer.com/)
- **Work model**: Mix of remote, hybrid, and in-office roles depending on location and team (e.g., some roles listed as “Remote”, others “In-Office”). [builtin.com](https://builtin.com/company/appsflyer)
- **Engineering culture**: Mission-critical platform; emphasis on data accuracy, privacy, and AI innovation. Teams are global and collaborative.

## Sources
1. [appsflyer.com](https://www.appsflyer.com/company/about/)
2. [careers.appsflyer.com](https://careers.appsflyer.com/)
3. [wikipedia.org](https://en.wikipedia.org/wiki/AppsFlyer)
4. [builtin.com](https://builtin.com/company/appsflyer)
5. [linkedin.com](https://www.linkedin.com/company/appsflyerhq)

## Other roles at AppsFlyer

- [Backend Engineer](https://feeny.ai/job/backend-engineer-appsflyer-warsaw-9ejst80pc5ep) — Warsaw, Poland
- [Senior SW Engineer](https://feeny.ai/job/senior-sw-engineer-appsflyer-warsaw-0h6ysshqzwq2) — Warsaw, Poland
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-appsflyer-warsaw-xj5r3g12dgzg) — Warsaw, Poland
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-appsflyer-herzliya-nsy8ebk7y5n8) — Herzliya, Israel
- [Product Partnerships Lead](https://feeny.ai/job/product-partnerships-lead-appsflyer-herzliya-x3tn16jvwczp) — Herzliya, Israel
- [Application Security Team Lead](https://feeny.ai/job/application-security-team-lead-appsflyer-herzliya-kqj8sxgkndqb) — Herzliya, Israel
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-appsflyer-warsaw-g8881tmpcznb) — Warsaw, Poland
- [Assistant Controller - Corporate Team](https://feeny.ai/job/assistant-controller-corporate-team-appsflyer-herzliya-50bh7f1p2kqs) — Herzliya, Israel
- [Senior IT Infrastructure Operations](https://feeny.ai/job/senior-it-infrastructure-operations-appsflyer-herzliya-8bjn5wwfydtw) — Herzliya, Israel
- [Senior Product Manager](https://feeny.ai/job/senior-product-manager-appsflyer-herzliya-hq5085v658jt) — Herzliya, Israel