Product Data Analyst

Arpeely

. Own the consumer funnel end to end across acquisition, install, onboarding, activation, engagement, retention, and monetization on desktop and mobile .

Posted 9/24/2026full-timeTel Aviv • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product analysis and data analytics, with a strong focus on consumer products, experimentation, and the ability to derive actionable insights from large datasets. Proficient in SQL and modern AI tools to enhance product performance and decision-making.

Highest-signal resume keywords

Product AnalysisSQL ProficiencyExperimentation SkillsData AnalysisConsumer Product Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisA/B TestingStatistical PrinciplesAnalytical FrameworksData ModelsPythonProduct MetricsUser EngagementRetention Strategies

Soft Skills

Strong CommunicationTechnical CuriosityHigh OwnershipCollaboration

Tools & Technologies

Modern AI ToolsAnalytical Tools

Industry Keywords

Consumer ProductsGrowthEngagementSubscription ProductsDesktop and Mobile Analysis

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own the consumer funnel end to end across acquisition, install, onboarding, activation, engagement, retention, and monetization on desktop and mobile
Identify user drop-off points, understand causes, quantify opportunities, and turn insights into product opportunities
Own experiments end to end, including test selection, metric and methodology definition, result analysis, and translating learnings into product decisions
Analyze large-scale behavioral data to investigate questions, uncover patterns, diagnose problems, and find opportunities beyond dashboards
Define important product metrics and ensure new features are measured correctly
Build a trusted analytical foundation for understanding product performance
Partner with Product and leadership to frame questions, challenge assumptions, and inform product strategy and prioritization
Use modern AI tools to explore faster, investigate deeper, automate repetitive work, and build lightweight solutions
Build analytical frameworks and self-service capabilities so teams can answer common questions independently

Requirements

What you’ll need

3+ years as a Product Analyst or Data Analyst in a fast-paced product environment
Consumer product experience is a strong plus
Excellent SQL and analytical skills
Comfortable working directly with large, complex datasets
Ability to independently get from a product question to a trustworthy answer
Strong experimentation skills, including designing, evaluating, and interpreting A/B tests
Understanding of statistical principles and practical pitfalls behind A/B tests
Strong product thinking
Technical curiosity and comfort understanding how products work under the hood
Ability to collaborate with engineers on data, instrumentation, experiments, and technical product questions
AI-native mindset and active use of modern AI tools
High ownership and ability to independently identify and investigate important questions
Strong communication skills
Experience with consumer products at meaningful scale is advantageous
Experience with growth, retention, engagement, or subscription products is advantageous
Experience analyzing products across desktop and mobile is advantageous
Python or other programming experience for analysis and automation is advantageous
Experience building analytical frameworks, data models, or internal analytical tools is advantageous

Benefits

Comp & perks

Remote/hybrid work arrangement