לוח משרות דרושים Data Analyst בתל אביב יפו, לחיפוש זה נמצאו 43 משרות

at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
were looking for a data analyst to join our r&d department!
why is this role so important at the company?
our retail intelligence products help leading brands and retailers understand how their products, brands and categories perform online. behind them is data collected from retailers and marketplaces around the world, each describing products in its own way. we use llms and ml models to classify, normalize and structure that data into a single, trusted view.
as a data analyst on the team, youll be the person who knows this data best. youll own its quality: defining what correct looks like, building the ground truth our models are measured against, and finding where things break and why. youll work closely with the engineers and scientists who build our llm and ml pipelines, and with product, turning what you find into clear priorities. your work will also directly support our customers: partnering with our customer-facing teams on deep-dive analyses, and investigating and fixing the data gaps that matter most to clients.
its a role for someone curious and hands-on, who enjoys digging into data, uses ai tools to move faster, and wants to see their analysis directly shape the product.
so, what will you be doing all day?
your daily responsibilities may include:
analyzing product, brand and category data to find gaps, errors and opportunities to improve coverage and accuracy
defining quality metrics and building the dashboards and checks that track them over time
building and maintaining ground-truth datasets and labeling guidelines, and running labeling processes
evaluating the output of llm and ml models: error analysis, comparing approaches, and turning findings into concrete improvements
using llms and ai tools to speed up analysis, labeling and data review
helping define and maintain taxonomies and classification rules together with product
supporting client-related needs with our customer-facing teams, from in-depth analyses of specific market segments to investigating and fixing data gaps raised by clients
validating new data sources before they are added to the product
partnering with product and engineering to translate findings into requirements and priorities

at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
we are looking for a talented and dedicated ml & Big Data analyst who will be a part of the core data group.
as part of this role, you will help us process and streamline rich and complicated datasets. will explore and validate new data sources. be part of the data science and data engineering force creating new features for our solution.
what does the day-to-day of an ml & Big Data analyst at the company look like:
apply your expertise in quantitative analysis and data mining to turn data into insights.
conduct research and develop tools that will ensure the quality of the company's data and algorithms.
utilize your deep understanding of the company's data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
partner with Big Data engineers to establish an infrastructure to scale solutions.
why youll love being a team member:
youll actually love the product you work with: our customers arent our only raving fans. when we asked our employees why they chose to come work at the company, 99% of them said the product. imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.
youll find a home for your big ideas: we encourage an open dialogue and empower employees to bring their ideas to the table. youll find the resources you need to take initiative and create meaningful change within the organization.
we offer competitive perks & benefits: we take your well-being seriously, and offer competitive compensation packages to all employees. we also put a strong emphasis on community, with regular team outings and happy hours.
you can grow your career in any direction you choose: interested in becoming a vp or want to transition into a different department? whether its career week, personalized coaching, or our ongoing learning solutions, youll find all the tools and opportunities you need to develop your career right here.
diversity isnt just a buzzword: people want to work in a place where they can be themselves. we strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. we are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. we believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

we are looking for a product-first, AI-native Data Analyst to shape how our Product organization understands signup, activation, feature adoption, and launches.
This is a high-ownership role combining strong business judgment with deep technical capabilities. You will contribute to strategic initiatives, work closely with Product Managers, engineers, and senior leadership, and help shape how decisions are made across the company.
You will work primarily with dbt, BigQuery, Looker, and GitHub, using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to accelerate and automate your work.
For us, AI-native means more than generating SQL in a chatbot. It means giving agents the right context and tools, validating their output, and turning repeatable processes into reusable workflows.
Product data is consumed throughout . Success in this role therefore requires excellent communication, proactive ownership, and the ability to translate complex analysis into practical business recommendations.
Key Responsibilities:
Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement.
Analyze high-impact questions involving signup conversion, first-day behavior, feature adoption, retention, and release performance.
Contribute to strategic projects and provide leadership with trusted insights and actionable recommendations.
Define and validate analytics events, then integrate them into our usage, 360, and feature-usage models.
Extend and validate dbt models, owning changes through pull request and CI.
Build and maintain focused Looker dashboards that support product decisions.
Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics.
Turn repeatable analyses and operational processes into agent skills, rules, and automated workflows.

we are looking for an AI-native Data Analytics Team Lead to lead our analytics team and shape how data is used to drive business decisions across the company.
This is a hands-on leadership role combining people management, strong business understanding, and technical leadership. You will lead and develop a team of analysts, set technical and analytical standards, own the teams priorities, and partner with stakeholders and senior leadership on high-impact initiatives.
You and your team will work primarily with dbt, BigQuery, Looker, and GitHub, while using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to automate workflows and scale how the team works.
Success in this role requires strong leadership, technical depth, business understanding, and the ability to turn complex data into clear, actionable recommendations.
Key Responsibilities:
Lead, manage, and develop a team of Data Analysts, including setting goals, providing feedback, and supporting their professional growth.
Own the teams priorities and analytical roadmap, ensuring the team focuses on the highest-impact business needs.
Define and drive technical and analytical standards across data modeling, SQL, dbt, testing, code reviews, and BI.
Partner with stakeholders and senior leadership to understand business needs, define KPIs, and translate data into actionable recommendations.
Lead high-impact analyses and guide the development of reliable, scalable data models and Looker dashboards.
Ensure data quality and lead investigations into anomalies, tracking issues, and inconsistent metrics.
Drive AI-native ways of working by turning repeatable analyses and processes into reusable, automated workflows.
Stay hands-on with data, code, and analysis when tackling complex or high-impact problems.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of our core functions.

This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.

You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.

If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.

What You'll Do

Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.

Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.

Design and evolve our data models, creating a unified language across data coming from multiple integrations and systems.

Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.

Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.

Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.

Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.

Help define the foundations of our data function by evaluating tools, methodologies, and best practices that will scale with the company.

Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.

Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

We are looking for a Data Analytics Engineer with strong technical skills to join the Marketing Data team. You will be the go-to person for how Marketing and other teams measure what matters. You will define the metrics, build the analysis behind them, and keep the data underneath them reliable.

Our marketing data model on BigQuery is already in production. You will report to the VP Growth and work directly with Marketing, Product and Sales leaders.



What You'll Do
Work with Revenue leaders to turn business questions into clear metric definitions, KPIs and measurement plans.
Build analysis and dashboards on acquisition, conversion, activation, feature adoption and retention.
Identify gaps in tracking and work with R&D to close them.
Maintain and extend existing pipelines and models (Airflow, Fivetran, ad platform connectors, BigQuery transformations).
Monitor data quality and fix issues before they reach stakeholders.
Document metric definitions, models and decisions as you go.

we are a leading direct-to-consumer platform for app publishers.
we help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience.
the result: higher margins, better flexibility, and a more direct relationship with end users.
backed by $89m from leading investors and operators, weve grown 14x in the past year and now process over a billion dollars annually.
were building the infrastructure that lets modern app businesses take back control of monetization - at scale.
responsibilities:
own and define key product, business, and customer kpis across the company
analyze usage, funnels, monetization, and customer behavior to identify growth opportunities and friction points
build and maintain dashboards and reports that give teams clear, reliable visibility into performance
partner with product and business to evaluate new features, initiatives, and experiments, and measure their impact
drive customer value by delivering external-facing data solutions, actionable insights, and industry benchmarks to empower data -informed decision-making.
work closely with engineering and data stakeholders to improve data quality, structure, and accessibility
help foster a data -driven culture by making insights understandable and actionable for non-technical stakeholders.

we are looking for a Payment Fraud Product Manager.
As an Fraud AI Applications Product Manager , you will lead a broad and complex product domain at the core of business - the analytical delivery of our ML-based Fraud management offering. You will work with senior stakeholders to define our vision and build the strategy to achieve it. You will design products and processes to execute that strategy, work to automate and optimize complex analytical processes and develop next generation analytical performance platform. You will work with data scientists in order to solve optimization problems. You will envision and define the approaches and tactics in which operations teams - fraud experts and analysts deliver best-in-class analytical performance for some of the worlds largest eCommerce companies. You will engage directly with users - internal and external - to identify challenges and opportunities to increase the solution value. You will achieve alignment on the right solutions and build innovative solutions to tackle complex optimization challenges of fraud at scale while handling a large scale AI-based system.
What You'll Be Doing:
Build the next generation of analytical performance platform to automate and optimize the analytics processes in a way that creates control and visibility, and brings business results
Collaborate with our analytics and operations teams to define their needs and brainstorm potential solutions
Partner closely with Data Science teams to translate business requirements into technical solutions and drive the development of advanced ML-based fraud detection capabilities.
Work with clients to understand the business needs and define creative solutions to address those opportunities
Own the Analytics Applications roadmap to meet the business goals, while doing hands-on and end-to-end product management, working with developers and data scientists
Define and own KPIs that measure the solution accuracy and impact
​​Lead the planning, scoping, and prioritization of new capabilities to achieve business goals

Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. Thats where our company comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user.
Were backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity.
As a Security Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across our company. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
What You'll do:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

As a hands-on individual contributor, you will act as the primary technical expert for the marketing department when data discrepancies or tracking failures occur (e.g., missing conversions, Meta Ads signal drops, or AppsFlyer event mismatches). This position requires a proactive professional who uses SQL and data warehouse environments to identify and resolve anomalies before they impact reporting.

This is a dedicated technical specialist role focused entirely on deep ownership of data infrastructure and troubleshooting, without people-management responsibilities.

Responsibilities
Production Support & Troubleshooting

Own the end-to-end resolution of tracking and signal-delivery incidents (detection, root cause analysis, remediation, and documentation).
Diagnose data discrepancies across three distinct delivery paths: client-side GTM tags, Server-to-Platform CAPI, and reverse ETL.
Address and resolve brand- or country-specific tracking constraints, including regulatory and consent requirements.
Data Quality & Analysis

Conduct regular audits of event and conversion data across major platforms (Google Ads, Meta Ads, GA4, AppsFlyer, TikTok, and programmatic partners) to prevent attribution distortions.
Utilize SQL within Snowflake to validate that events sent via CAPI and reverse ETL match system specifications.
Document technical incidents and resolutions in clear, actionable reports for both technical and non-technical stakeholders.
AppsFlyer & GTM Ownership

Manage configurations and serve as the primary subject-matter expert for AppsFlyer and Google Tag Manager (both client-side and server-side) across all brands.
Partner with the internal GA4 team on cross-functional data issues (without holding direct responsibility for GA4 configuration).

a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

Were looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions.
Youll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us.
What youll do:
Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.

we are looking for a Clinical Data Labeler.
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze clinical textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.

This is a full-time on-site role for an AI Data Analyst, located in the Tel Aviv District, Israel. The AI Data Analyst will be responsible for analyzing data, developing data models, conducting statistical analysis, and communicating findings to relevant stakeholders. Daily tasks will include interpreting complex data sets, generating actionable insights through data analytics, and supporting the development of AI-powered compliance solutions.