Product Data Analyst

AppsFlyer is the market leader in mobile attribution and marketing analytics, serving thousands of customers worldwide. AppsFlyer is trailblazer in becoming an AI-first company - from AI-native products, to Assistive AI up to Agentic workflows. Powering all this - is our data. Our data is our biggest asset, and we leverage it to help businesses thrive in the AI era.

Are you ready to shape the future of AI and data innovation? We’re looking for a talented data analyst with a pioneering spirit to join us. In this role, you'll help us drive the data transformation, collaborating closely with Fortune 500 customers to ensure our solutions bring transformative value to their businesses. You'll have a unique opportunity to generate AI-ready data, create innovative data and AI experiences, and support new revenue streams powered by advanced data technologies.

The ideal candidate is highly technical, data-driven, and experienced in working with large-scale data platforms. As part of this team, you will be responsible for analyzing product usage and performance, identifying opportunities for innovation and optimization, and ensuring the accuracy and reliability of data across our core products. You will work closely with product managers, engineers, and cross-functional business stakeholders to deliver actionable insights and drive continuous product improvement.

What You’ll Do

• Analyze large-scale datasets to identify trends, inefficiencies, and opportunities across AppsFlyer’s core products.
• Develop and execute ongoing analyses to generate insights that support product strategy, design, and development decisions.
• Create and maintain dashboards, monitoring tools, and ETL processes to enhance visibility into product performance and user behavior.
• Propose, lead, and implement data-driven initiatives that improve product functionality, user experience, and overall business impact.
  
  

• 4+ years of experience as a Data Analyst, preferably in a big data or SaaS company.
• Hands-on experience with BI tools such as Looker, PowerBI, Tableau, or similar.
• Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Computer Science, or a related field.
• Strong proficiency in SQL and experience working with large-scale datasets.
• A proactive attitude with a passion for problem-solving and product optimization.
  
  

• Bachelor’s degree in a technical field such as Computer Science or Engineering or equivalent practical experience
• Experience working with cloud data services such as Amazon AWS (Athena, S3, Redshift) or Google BigQuery.
• Technical approach with a deep understanding of data pipelines and ETL processes.
• Experience applying AI or machine learning techniques to generate product insights, automate analyses, or enhance user-facing features.
• Being introduced by an AppsFlyer team member
  
  

• Work with one of the largest data sets in the mobile ecosystem.
• Be part of an innovative and fast-growing team shaping the future of mobile attribution.
• Join a high-impact team that drives innovation across AppsFlyer’s core product suite.
• Enjoy a dynamic work environment that encourages learning, creativity, and growth.