Product Data Analyst

1 day ago

Herzliya, Tel Aviv, Israel AppsFlyer Full time ₪80,000 - ₪120,000 per year

We're looking for a talented individual with a pioneering spirit to join the Core Product Analysts Team.
This team plays a central role in shaping the direction of AppsFlyer's most essential product offerings, by providing deep analytical insights and supporting data-informed decision-making across the company's core solutions.

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.

What you have

  • 3-5 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.

Bonus Points

  • 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
Why Join Us?
  • 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.

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.

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