11 days ago

Product Data Analyst

AppsFlyer

On Site
Full Time
₪300,000
Herzliya, Tel Aviv District, Israel

Job Overview

Job TitleProduct Data Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary₪300,000
LocationHerzliya, Tel Aviv District, Israel

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Job Description

About the Role: Product Data Analyst

We’re looking for a talented individual with a pioneering spirit to join the Core Product Analysts Team at AppsFlyer. 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 AppsFlyer

Join AppsFlyer and 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. This is a high-impact role 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 ensure equal opportunities and promote diverse talents, valuing curiosity, diversity, and innovation from all employees, customers, and partners.

Key skills/competency

  • Data Analysis
  • SQL
  • BI Tools (Looker, PowerBI, Tableau)
  • Product Analytics
  • Big Data
  • SaaS Experience
  • Data Pipelines
  • ETL Processes
  • Cloud Data Services (AWS, BigQuery)
  • Machine Learning Concepts

Tags:

Product Data Analyst
data analysis
product optimization
insights generation
data modeling
performance monitoring
stakeholder collaboration
ETL processes
problem-solving
innovation
strategy support
SQL
Looker
PowerBI
Tableau
AWS
Redshift
S3
BigQuery
data pipelines
machine learning

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How to Get Hired at AppsFlyer

  • Research AppsFlyer's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight data analysis, SQL, BI tools, and big data experience relevant to AppsFlyer's product focus.
  • Showcase analytical projects: Prepare to discuss specific examples of how you've used data to drive product decisions or solve complex problems.
  • Demonstrate technical proficiency: Be ready for technical assessments in SQL, data manipulation, and possibly cloud data services like AWS or Google BigQuery.
  • Highlight problem-solving skills: AppsFlyer values proactive individuals with a passion for product optimization; emphasize these traits in your interviews.

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