Product Analyst

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8900368

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חברת השמה / כח אדם

19/10/2026

Product Data Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for Product Data Analyst to own the numbers behind Ace and play a central role in shaping product decisions. Youll work closely with Product, Engineering, Growth, and company leadership to understand how people use Ace
Youll own the analytical process end to end: identifying the right questions, defining metrics, designing experiments, working directly with product data, interpreting results, and translating findings into clear product decisions.
We move fast, experiment constantly, and expect analysts to be hands-on, curious, technically strong, and comfortable challenging assumptions.
What You'll Do:
Own the consumer funnel end to end. Analyze acquisition, install, onboarding, activation, engagement, retention, and monetization across desktop and mobile. Identify where users drop, understand why, quantify the opportunity, and turn insights into concrete product opportunities.
Run the experimentation engine. Own experiments end to end - identify whats worth testing, define the right metrics and methodology, analyze the results, and translate learnings into clear product decisions.
Go deep into the data. Work directly with large-scale behavioral data to investigate questions, uncover patterns, diagnose problems, and find opportunities that arent obvious from a dashboard.
Shape how we measure the product. Define the metrics that matter, make sure were measuring new features correctly, and create a trusted analytical foundation for understanding product performance.
Be a strategic product partner. Work closely with Product and leadership to frame important questions, challenge assumptions, and bring a strong data-driven perspective to product strategy and prioritization.
Use AI to work differently. Use modern AI tools as part of your daily workflow to explore faster, investigate deeper, automate repetitive work, and build lightweight solutions when needed.
Make the organization faster with data. Build frameworks and self-service capabilities that help teams answer common questions independently, so your time stays focused on the highest-impact problems.

Requirements:
5+ 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. Youre comfortable working directly with large, complex datasets and can independently get from a product question to a trustworthy answer.
Strong experimentation skills. You understand how to design, evaluate, and interpret A/B tests, including the statistical principles and practical pitfalls behind them.
Strong product thinking. You dont stop at what happened - you want to understand why it happened, what it means for the user and the business, and what we should do next.
Technical curiosity. Youre comfortable understanding how products work under the hood and collaborating with engineers on data, instrumentation, experiments, and technical product questions.
AI-native mindset. AI is already part of how you work. You actively use modern AI tools to increase your speed, depth, and independence.
High ownership. You dont wait for perfectly defined requests. You identify important questions, investigate them independently, and drive them toward decisions.
Strong communication. You can turn complex analysis into simple, clear conclusions that people can understand and act on.

This position is open to all candidates.

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8863154

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4 ימים

data analyst- product data & ai quality

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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

Requirements:
this is the perfect job for someone who:
holds a b.sc. in industrial engineering, statistics, economics, Computer Science or another quantitative field
has 2+ years of experience as a data analyst, preferably in a tech company
has strong sql skills
uses Python for data analysis (pandas, notebooks) - must
has a solid understanding of statistics and evaluation metrics: sampling, precision/recall, confidence levels
has hands-on experience using llms for data work, such as prompting, structured outputs or reviewing model outputs
has strong attention to detail and a structured approach to messy, ambiguous data
communicates clearly in english and can present findings to product, engineering and customer-facing teams
has experience with labeling, taxonomies or data quality processes (advantage)
has experience with e-commerce or product data (advantage)
has experience with BI and visualization tools (advantage)
at the company, collaborating with our colleagues in-office creates a more connected, unified culture. our best work is a product of our face-to-face collaboration, with the ability to work partially from home.

This position is open to all candidates.

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8895371

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לפני 4 שעות

Product Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a self-motivated Product Analyst with a strong technical backbone and a strong sense of ownership. As a key member of the Product Analytics team, you will build the data tools the company runs on - data models, AI-assisted analytics, Claude skills and monitoring - and make sure every team can use data accurately and independently. You will work closely with Product, R&D, Customer Success, Finance and other cross-functional teams, balancing hands-on data engineering with analysis. Chargeback domain knowledge is a plus, not a prerequisite - we'll teach you the domain; you bring the technical depth. What matters most to us You deliver end-to-end, on your own. Give you a loose problem, and you take it from question to working result. You explore the directions, decide which ones matter, ship, then improve. We dont expect perfection. We expect you to keep moving without hand-holding. You make the complex simple. Give you a messy problem, and youll dig into it, reduce it to its essence, and build the simplest solution that solves it. No extra layers, no extra metrics, so the people you build for get something they understand and can use right away. Responsibilities Build and own AI-assisted data tools: Claude skills, self-serve analytics, and agent-based workflows that let teams query, analyze, and act on data accurately without going through an analyst. Design and maintain the data layer behind these tools - Snowflake data models, dbt pipelines, metric definitions, scheduled jobs and data quality checks - all managed as code in GitHub. Own the team's Claude skills: build, TEST, document and continuously improve them so results are reliable and consistent across users. Build monitoring and alerting on operational and business metrics, and investigate anomalies end to end. Support Finance with billing and invoicing data - validation, reconciliation and automation. Analyze large, complex datasets to answer product and business questions, and present findings clearly to technical and non-technical stakeholders. Partner with Product and R&D on data requirements for new features and integrations.

Requirements:
Degree in Industrial Engineering, Computer Science, Statistics, Economics or another quantitative field. 3+ years of experience as a data / BI / Product Analyst or analytics engineer. Advanced SQL - must. Experience with Snowflake or a similar cloud data warehouse - strong advantage. Python for data analysis, automation, and tooling. Comfortable working in Git / GitHub - branches, pull requests, code review. Hands-on experience building with LLMs for data work - prompts, skills, agents or tools over structured data - strong advantage. Experience with dbt or similar data modeling tools - advantage. Experience with a BI tool and data modeling for reporting. Excellent communication skills in English. Familiarity with payments, chargebacks or fintech - advantage.

This position is open to all candidates.

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8899504

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13/10/2026

Strategic Product Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an experienced sharp and dynamic analytical mind to join our Product Analytics team as a Strategic product analyst. This position is ideally suited for those who are naturally passionate about learning, gaining knowledge, and analyzing anything they do and see with experience in utilizing data to make a significant impact.
The role requires a combination of analytical, technical, problem-solving, communication, and project management skills, and it involves working closely with various stakeholders and customers - including Product Managers, Customer Success Managers, Operations teams, Data Engineers, UI/UX Designers, SW developers, and AI experts at all levels.
Responsibilities
As a Strategic product analyst at our companys Analytics group, you will play a critical role in expanding our data-driven vision and building analytics capabilities that create value for both our customers and internal teams. Your work will include:
Building scalable customer-facing analytics and data-sharing products, transforming complex data and customer needs into reliable, intuitive, and standardized solutions.
Partnering with Customer Success and Product teams to understand how customers use our products, identify opportunities to improve adoption and demonstrate value, and translate site needs into scalable analytical solutions.
Leading strategic analyses across products, workflows, and clinical domains, connecting data from multiple parts of our companys ecosystem to uncover insights and support business and product decisions.
Designing product KPIs and measurement frameworks, monitoring trends, and working with key stakeholders to translate findings into actionable insights.
Conducting decision-support analyses for Product, Customer Success, development, and operational initiatives.
Designing and improving scalable data models and analytics infrastructure that support customer-facing products, internal analytics, and repeatable analytical capabilities.
Continuously expanding our analytics knowledge base, improving data quality and reliability, and documenting learnings to strengthen the teams collective expertise.
The role is all about collaborating with stakeholders to craft their questions into tangible metrics and captivating visuals, empowering them to uncover insights and make informed decisions through the power of data. Plus, you get to dive deep into learning opportunities and document your discoveries, enriching our collective intelligence and fueling continuous improvement.

Requirements:
5+ years of experience in Product Analytics, Data Analytics, Business Analytics, or a similar analytical role.
Strong technical orientation and eagerness to understand data models, pipelines, and analytics infrastructure.
Demonstrated ability to work independently, navigate ambiguity, and collaborate effectively across multiple functions and stakeholders.
Excellent verbal and written communication skills as well as presentation skills
B.Sc or equivalent studies with extensive hands-on projects
A Master's degree - An advantage.

This position is open to all candidates.

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8855371

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4 ימים

data team lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

דרישות:
this is the perfect job for someone who has:
5+ years of experience in data engineering, with 2+ years in a leadership role.
experience in a customer-facing technical role (e.g. solutions engineering, technical consulting, or customer success engineering), including working directly with customers on requirements, delivery, and support.
strong hands-on experience handling massive datasets using pyspark, spark, or hadoop.
advanced proficiency in Python.
proven experience working within aws (or alternative major cloud infrastructure).
practical experience working with llms, ai frameworks, or vector databases to build automated, agentic data workflows.
strong data analysis skills, including advanced sql and experience with analytics, to explore datasets, validate data quality, and turn findings into clear insights for customers and stakeholders.
experience managing complex, multi-stage development and production lifecycles
at the company, collaborating with our colleagues in-office creates a more connected, unified culture. our best work is a product of our face-to-face collaboration, with the ability to work partially from home.
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, sex המשרה מיועדת לנשים ולגברים כאחד.

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8895189

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13/10/2026

Business Product Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are seeking a Business Product Analyst - a business-minded analyst who will work hand in hand with our Product Managers and Scrum teams as a true Business Partner.

This is not a reporting or dashboard role. Your mission is to help the product teams deeply understand how our features are used by our customers, what value they create, and how they can make money. You will turn product and business data into clear, actionable insights and recommendations that shape what the company builds, how it is measured, and how it is monetized.

In a world where AI can surface data, this role exists to answer the harder business questions: Who uses this feature and why? Is it creating value? And how can it make money?

Key Responsibilities & Focus Areas

Drive Strategic Direction, Not Just Feature Metrics: You won't just analyze isolated features-you will connect product performance directly to company-wide strategy. By uncovering the true business impact of what we build, your insights will shape executive decisions, guide product roadmaps, and directly influence Morning's long-term trajectory and growth
Shape Product & Strategic Direction: Go beyond isolated feature tracking to connect product performance directly to company strategy, ensuring every development choice informs the broader roadmap and long-term business trajectory.
Act as a Strategic Product Partner: Embed yourself in the daily rhythms of Product and Scrum teams, bringing a high-level business and data perspective to shape feature concepts into core strategic drivers.
Evaluate Holistic Value & Ecosystem Impact: Analyze usage patterns and user journeys to understand how features contribute to overall platform engagement, long-term retention, and compounding business value
Scale Monetization & Business Models: Translate product behavior into comprehensive revenue strategies, connecting feature engagement directly to pricing structures, monetization opportunities, and company-wide growth.
Challenge Assumptions & Drive Core Focus: Use rigorous data insights to question legacy beliefs, helping leadership and product teams prioritize high-impact initiatives and define where to double down or pivot.

Requirements:
Analytically Fearless: 3 years in an analytical role (product analytics, business analytics, or similar) within a SaaS, fintech, or B2B environment.
Technical Pro: High-level SQL is your second language. Experience with product analytics tools (Amplitude, Mixpanel) and BI tools (Databricks / AWS QuickSight / Power BI), and strong Excel/spreadsheet modeling skills.
Business-minded: Strong business acumen - you think in trade-offs, value, and revenue, not just metrics. You understand SaaS business models and key metrics (ARPU, conversion, churn, LTV) and how product behavior drives them.
Deep understanding of vanity metrics vs. real value, and correlation vs. causation (A/B tests, cohorts, pre/post analysis).
You simplify the complex. You don't just analyze data; you extract the 'so what' and help the team decide what to build and how to monetize it.
A Natural Communicator & Team Player: You enjoy working closely with Product Managers, developers, and designers. You present insights simply and help the team turn them into decisions.
Educational Background: Degree in Economics, Industrial Engineering, Statistics, or Business Management.

This position is open to all candidates.

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8855811

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07/10/2026

Business Product Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Morning is seeking a Business Product Analyst - a business-minded analyst who will work hand in hand with our Product Managers and Scrum teams as a true Business Partner. This is not a reporting or dashboard role. Your mission is to help the product teams deeply understand how our features are used by our customers, what value they create, and how they can make money. You will turn product and business data into clear, actionable insights and recommendations that shape what the company builds, how it is measured, and how it is monetized. In a world where AI can surface data, this role exists to answer the harder business questions: Who uses this feature and why? Is it creating value? And how can it make money?
Key Responsibilities & Focus Areas Drive Strategic Direction, Not Just Feature Metrics: You won't just analyze isolated features—you will connect product performance directly to company-wide strategy. By uncovering the true business impact of what we build, your insights will shape executive decisions, guide product roadmaps, and directly influence Morning's long-term trajectory and growth Shape Product & Strategic Direction: Go beyond isolated feature tracking to connect product performance directly to company strategy, ensuring every development choice informs the broader roadmap and long-term business trajectory. Act as a Strategic Product Partner: Embed yourself in the daily rhythms of Product and Scrum teams, bringing a high-level business and data perspective to shape feature concepts into core strategic drivers. Evaluate Holistic Value & Ecosystem Impact: Analyze usage patterns and user journeys to understand how features contribute to overall platform engagement, long-term retention, and compounding business value Scale Monetization & Business Models: Translate product behavior into comprehensive revenue strategies, connecting feature engagement directly to pricing structures, monetization opportunities, and company-wide growth. Challenge Assumptions & Drive Core Focus: Use rigorous data insights to question legacy beliefs, helping leadership and product teams prioritize high-impact initiatives and define where to double down or pivot.

Advantages:

* Experience with monetization or pricing analysis.

Requirements:
Who You Are? Analytically Fearless: 3 years in an analytical role (product analytics, business analytics, or similar) within a SaaS, fintech, or B2B environment. Technical Pro: High-level SQL is your second language. Experience with product analytics tools (Amplitude, Mixpanel) and BI tools (Databricks / AWS QuickSight / Power BI), and strong Excel/spreadsheet modeling skills. Business-minded: Strong business acumen - you think in trade-offs, value, and revenue, not just metrics. You understand SaaS business models and key metrics (ARPU, conversion, churn, LTV) and how product behavior drives them. Deep understanding of vanity metrics vs. real value, and correlation vs. causation (A/B tests, cohorts, pre/post analysis). You simplify the complex. You don't just analyze data; you extract the 'so what' and help the team decide what to build and how to monetize it. A Natural Communicator & Team Player: You enjoy working closely with Product Managers, developers, and designers. You present insights simply and help the team turn them into decisions. Educational Background: Degree in Economics, Industrial Engineering, Statistics, or Business Management.

This position is open to all candidates.

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8845973

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05/11/2026

Data Analytics Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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.

Requirements:
5+ years of experience in business, growth, or data analytics within a fast-paced SaaS or web company, including 2+ years of direct people management experience leading a team of Data Analysts.
Strong business understanding and the ability to translate business needs into clear analytical priorities and actionable insights.
Strong technical leadership and experience establishing analytics and engineering best practices.
Advanced SQL and production experience with dbt, including data modeling, testing, lineage, and CI.
Experience with Git-based development and code review workflows.
Experience building decision-oriented dashboards in Looker or a comparable BI platform.
Practical experience using AI agents in analytical or engineering workflows.
Excellent communication and stakeholder-management skills, with the ability to work effectively with both technical and non-technical teams.
A proactive, hands-on approach and the ability to prioritize effectively in a fast-moving environment.

This position is open to all candidates.

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8887962

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04/11/2026

Data Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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.

Requirements:
What You'll Bring
3+ years of experience as a Data Analyst, Cyber Analyst, Network Analyst, Analytics Engineer, Solutions Analyst, or in a similar data-focused role.

Strong SQL skills and working knowledge of Python.

Experience working with large, complex datasets from multiple sources.

Experience with data modeling, schema design, and structuring data for efficient analysis.

Ability to independently own projects from discovery through delivery, balancing long-term improvements with short-term priorities.

Comfortable working across Engineering, Product, Data Science, and customer-facing teams.

Strong analytical thinking and the ability to translate data into clear recommendations and business decisions.

Excellent communication skills and confidence presenting findings to both technical and non-technical audiences.

A customer-first mindset with the ability to prioritize work around customer impact and deadlines.

The Glow Mindset: You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8885875

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שמך המלאמה השם שלך?

מייל

תיאור

שליחה

תודה על שיתוף הפעולה

מודים לך שלקחת חלק בשיפור התוכן שלנו :)

המשרה נמחקה

תוכל לצפות בה בדף המשרות שלי

המשרה הוחזרה לרשימת תוצאות החיפוש

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המשרות השמורות שלך?

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אירעה שגיאה בשליחת פרטיך למשרה

05/11/2026

Data Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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.

Requirements:
3+ years of experience in product or growth analytics within a fast-paced SaaS or web company.
Strong business judgment and the ability to turn ambiguous questions into clear analytical approaches.
Advanced SQL skills and experience working with large event datasets.
Production dbt experience, including data lineage, DAGs, testing, and CI.
Experience with Git-based workflows, including branches, pull requests, and code reviews.
Experience building decision-oriented dashboards in Looker or a comparable BI platform.
Practical experience using AI agents in analytical or engineering workflows.
A proactive, can-do approach, with the communication skills and adaptability required to manage competing priorities and influence technical and non-technical stakeholders.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8887968

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