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Senior Data Analyst

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Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Senior Business Analyst to help build the technical foundation that powers our cross-sell growth and revenue measurement across all DTC products.
You'll join our Analytics team in Tel Aviv to create the data infrastructure that turns customer journeys into measurable expansion opportunities. As we scale across insurance lines, this role bridges the gap between raw data and the automated systems that drive our AI-powered revenue growth.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Facilitate cross-sell initiatives by building data frameworks (identity resolution, behavioral tagging) that help Company Leads and Product teams identify and measure opportunities across car, pet, and renters products
Automate revenue measurement systems by taking existing MMM, incrementality, and attribution models and building the ETL logic layer that makes them work together autonomously
Drive MarTech and revenue automation through DBT models that ensure seamless data flows between our warehouse and platforms like Google Ads and AppsFlyer
Contribute to partnership systems by supporting the technical rebuild of our partnership data infrastructure for accurate tracking and attribution of third-party leads
Collaborate with Data Platform teams to ensure revenue requirements are reflected in our data stack, acting as the technical bridge between raw data lakes and business analytics
Enable revenue squads by building shared DBT models and centralized tracking systems that Car, Pet, and Renters teams need to hit their DTC goals
Build scalable frameworks that turn analytical concepts into production-grade, automated pipelines within our data warehouse,
Requirements:
Adaptability, drive, and an efficiency mindset - we believe these matter most in human-AI collaboration
5+ years as a Business or Marketing analyst in a technical data role, ideally in fast-paced B2C or FinTech environments
Expert-level SQL skills for writing complex, performant queries and managing large-scale datasets
Strong hands-on experience with ETL processes and data modeling - experience with DBT and Snowflake is a plus
Strong understanding of the advertising ecosystem and how data flows through Google Ads, Meta ads, AppsFlyer, and tag management systems
Ability to take existing analytical concepts and turn them into automated, production-grade pipelines
Solid understanding of revenue measurement concepts like attribution, incrementality, and MMM in a DTC context
Ability to work effectively with Engineering, Product, and Company leadership, while serving as a technical partner to the revenue analytics team-scaling impact by building the shared infrastructure and automated workflows needed to execute their work.
Bachelor's degree in a quantitative field like Mathematics, Statistics, Computer Science, or similar
Ready to work in an office environment most days of the week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture.
This position is open to all candidates.
 
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Location: Petah Tikva
Job Type: Full Time
a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description:
as a senior Product Analyst , youll join the ai solutions group, contributing to the development of intelligent identity security capabilities. this role sits at the intersection of data, product, and ai - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. youll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing ai-driven features that improve the performance, usability, and intelligence of our offerings. analyze product usage and behavioral data to support the design and improvement of ai-powered features.
work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and User Experience.
build and maintain dashboards, kpis, and reports that drive product decision-making.
contribute to the development and validation of success metrics for new capabilities.
collaborate with data scientists on experiments, a/b tests, and model monitoring efforts.
ensure data quality and support scalable pipelines by working with data engineering teams.
communicate findings through clear presentations and visualizations that influence roadmap decisions.
develop a deep understanding of product workflows and user behavior to guide analytical priorities.
Requirements:
4+ years of experience in an analytics role.
bachelors degree in industrial engineering, information systems, or related discipline.
proficiency in Python for data manipulation, analysis, and basic scripting is required.
strong sql skills and experience querying structured data sources.
familiarity with BI tools such as tableau, looker, or power BI.
analytical mindset with a keen interest in connecting data to User Experience and product performance.
excellent communication skills-able to explain complex ideas clearly to technical and non-technical audiences. comfortable working collaboratively in cross-functional teams. experience with cloud-based ml infrastructure (e.g., aws sagemaker, gcp vertex ai) and Big Data tools (e.g., spark, airflow).
understanding of a/b testing, experimentation frameworks, or product metrics design.
interest or experience in cybersecurity, ai/ml, or identity security.
This position is open to all candidates.
 
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