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5 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As our company continues to scale, were looking for a Product Data Analyst to join our Product team. In this role, youll blend strong analytical skills with operational execution to help our product and go-to-market teams make data-informed decisions. About 70% of your time will be spent analyzing product and customer data, building dashboards, and delivering insights that will shape the future of our product. The remaining 30% will focus on supporting our data operations - ensuring our data processes, tools, and reporting cadences run efficiently, implementing best practices.

Youll sit directly within the Product organization, collaborating closely with Product Managers, Designers, and Engineers to improve how we use data across a growing suite of B2B SaaS products and within our organization.

Responsibilities
Analytics
Analyze product usage and customer behavior across multiple SaaS products to uncover insights that guide roadmap priorities and growth opportunities.
Build and maintain dashboards and reports in Snowflake, Redash, Metabase, and Mixpanel using SQL to support Product, GTM, and leadership teams.
Define and track key metrics such as activation, retention, adoption, ARR growth, and engagement.
Run ad-hoc analyses to answer business questions and support experiments or feature evaluations.

Data Operations
Collaborate with Engineering and Data teams to enhance analytics setup and data workflows.
Partner with Engineering teams to ensure clean data instrumentation, event tracking, best practices for data, and measurement implementation across product features.
Maintain and improve data quality processes, pipeline documentation, and operational standards to support reliable decision-making.
Requirements:
3+ years of experience as a Data Analyst, Product Analyst, or similar role in a B2B SaaS environment.
Advanced SQL Proficiency: Ability to write complex, performant queries (CTEs, Window Functions) to extract insights from large datasets.
Scripting Proficiency: Experience with Python or other scripting languages for data manipulation, automation, and analysis.
AI Fluency: Ability to leverage AI tools and LLM-based workflows to accelerate analysis, automate repetitive tasks, and surface deeper product insights at scale.
Self-Service BI: Proven track record building and maintaining dashboards in Metabase or Redash (or similar) to empower non-technical stakeholders.
Product Analytics: Experience leveraging Mixpanel (or Amplitude) to analyze user behavior and conversion funnels.
Solid understanding of SaaS and product metrics
Experience collaborating with both Product and Engineering teams to define and measure success.
Cloud Data Warehousing: Hands-on experience with Snowflake (or similar platforms like BigQuery/Redshift)- Advantage.
Excellent analytical and communication skills -able to turn complex data into actionable insights.
Proactive, hands-on mindset with attention to detail and a passion for improving workflows.
This position is open to all candidates.
 
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10/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Product Analyst to join our Data team and take ownership over analytics for core product areas. In this role, you will work closely with multiple product and engineering teams, play a key role in product decision-making, and drive business growth through deep data analysis and experimentation.
This is a unique opportunity to lead analytics in high-impact product domains and influence decisions at scale.
What am I going to do?
Own analytics across core product areas and user flows
Analyze product performance and derive actionable insights
Plan, run, and analyze A/B tests end-to-end, including experiment design, metric definition, and impact analysis
Partner closely with Product Managers and Engineering teams as the data focal point for product decisions
Build and maintain analytical foundations, including tracking, events, funnels, and data processes
Proactively monitor key metrics, identify trends or anomalies, and communicate insights to stakeholders
Create visibility through reports, dashboards, and alerts to support ongoing decision-making
Lead deep-dive analyses and broader business research as needed.
Requirements:
BSc/BA in Industrial Engineering, Computer Science, Statistics, or a related field
Strong SQL skills - a must
3+ years of experience as a Product / Data / Business Analyst in a data-driven online company
Proven experience with A/B testing methodologies and statistical analysis
Experience working closely with Product Managers and cross-functional teams
Strong business understanding and ability to translate data into product and business impact
Ability to manage multiple initiatives in parallel and work independently
Experience with BI tools such as Tableau.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
You will be part of a research team, creating and improving our core-data algorithms. This Data Analyst role balances strategic, end-to-end data research with high-velocity, ad-hoc analysis to support crucial engineering and product decisions. You will immerse yourself in the fascinating world of maritime data, using Python, SQL, LLM frameworks, and occasionally Java to conduct analysis and ensure your insights drive strategic product development.



What will you do?

Conduct end-to-end analysis & research to create and improve our core-data algorithms.
Turn signals into actionable insights by analyzing GEOINT, SIGINT, and ADINT, and fusing them with maritime data.
Write Python code to extract and analyze data from various sources (including Postgres, MongoDB, SingleStore, and S3).
Leverage Generative AI tools for deep research, data analysis, and coding to accelerate insights.
Analyze large datasets to uncover trends, patterns, and anomalies, applying domain knowledge to interpret data and provide valuable insights for the maritime industry.
Maintain and ensure data quality and integrity, conducting thorough checks to monitor, identify, and resolve inconsistencies, and taking accountability for critical data and infrastructure.
Visualize findings, use data storytelling, and document research in technical papers and logs to understand and communicate actionable insights effectively to stakeholders.
Collaborate effectively with cross-functional teams (including domain and technical experts) to address research challenges and optimize data processes.
Join the Data Analysts technical guild to help grow data analysts professional community.
Requirements:
2+ years of experience in data analysis or equivalent field using python code
Hands-on experience analyzing GEOINT, SIGINT, or ADINT data
Experience in utilizing Generative AI tools and an AI-first approach to data research, analysis, and innovation.
Bachelors degree in Industrial Engineering, Mathematics, Statistics, Economics, Computer Science or a related field
Experience in using statistical methods to address analytical challenges
Experience working with querying databases with Python data analysis and visualization tools (Pandas, NumPy, PySpark, Plotly, Matplotlib, etc..)
Experience using data visualization and monitoring tools (such as Grafana or Redash)
Excellent communication and interpersonal skills, with fluency in English
Basic familiarity with reading Java code - advantage
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.
Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).
Requirements:
3+ years of experience in data analytics roles with expert SQL skills and data visualization tools - Looker, Tableau, PBI, Omni, etc.
2+ years of experience working in the marketing data analytics field.
Proven track record collaborating with teams to leverage data-driven insights to improve performance.
You have a bias towards action; you dont wait for someone to tell you what to do and are comfortable working with ambiguity.
You dont stop once you pull the data; you love turning numbers into actionable insights.
Youre a strong communicator and have an art for communicating complex findings in a simple way.
Your thinking is structured, and you have excellent intuition for numbers and data.
And most importantly, you believe in our companys mission and know how you will contribute to our success.
This position is open to all candidates.
 
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11/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Cyber Data Analyst
Description
We are redefining trust in blockchain through advanced, integrated security. Our on-chain security platform is trusted by leading Web3 companies-including Coinbase, MetaMask, Uniswap, Backpack, Stellar, and others-to detect, understand, and automatically prevent or minimize the impact of fraud, scams, hacks, and financial threats.
We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity.
As a Senior Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
Your Chain of Impact:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
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.
Requirements:
Your Chain of Strengths:
5+ years of Data Analytics experience, with a solid foundation in cybersecurity or forensic research (required).
Advanced technical skills: Expert-level SQL for complex queries and high proficiency in Python (must-have).
Familiarity with data visualization platforms (Tableau, Looker, etc.) to build impactful dashboards (advantage).
Analytical Mindset: A sharp eye for detail and a passion for solving complex, ambiguous data puzzles.
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
This position is open to all candidates.
 
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27/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Our growing Data department is looking for a CRM and Retention Data Analyst.
We are looking for a highly motivated individual who is sharp, autodidactic, and collaborative.
You will deep dive into data, analyze patterns, identify trends, define, and develop KPIs and other measurement tools. Provide insights into the performance of our retention team.
Responsibilities:
Support of ongoing analytical needs of the CRM and Retention team
Analyze effectiveness and performance across multiple channels (Emails, SMS, Push, etc), providing actionable insight for data-led optimization
Translate business questions into data analyses and clear insights
Identify trends, opportunities, and areas for improvement, and provide data-driven recommendations
Design, analyze, and evaluate tests and experiments
Work with large and complex datasets to support strategic and operational decisions
Combine data from multiple sources to create a complete view of user behavior
Build and maintain reporting and dashboards using SQL and BI tools
Partner with cross-functional teams to ensure data is used effectively in decision-making
The position is in Ramat HaHayal, Tel Aviv.
Requirements:
2+ years of experience in CRM/Retention analytics - a must
Strong SQL skills - ability to write complex queries and time-based analyses - a must (BigQuery - advantage)
Proficient in Excel - a must
Working knowledge of BI visualization/analytic tools like Tableau, QlikView, PowerBI (Tableau - Advantage)
Solid understanding of the marketing ecosystem, including funnels, cohorts, attribution, and lifecycle analysis
Comfortable analyzing data independently and explaining findings to non-technical stakeholders
Strong attention to detail and structured thinking
Self-motivated, organized, and able to manage multiple analytical tasks in parallel
Bachelors degree in computer science, mathematics, economics, statistics, engineering, or equivalent practical experience
Professional-level English (written and spoken)
Nice to have:
Familiarity with the RFM-E model
Familiarity with Google Analytics (GA4) data structure
Basic JS, familiarity with Google Apps Scripts.
This position is open to all candidates.
 
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02/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Multilingual
We are looking for a native French speaker with a high level of proficiency in English to join our Annotation and Analysis team at the as a Data Annotator and Analyst. In this role, you will work with large volumes of data in both French and English, annotating and analyzing datasets used to evaluate and train machine learning models, including large language models (LLMs). Your work will involve reviewing model outputs and preparing high-quality training data that supports the development and continuous improvement of AI-driven products. In addition, as part of the job, you will conduct complex analysis on the annotated data and provide insights to the other stakeholders. This position is ideal for someone passionate about linguistics and data, and who enjoys working on detail-oriented tasks that directly impact model quality. As part of a collaborative, cross-functional team, you will work closely with Data Scientists and Product Managers to ensure that datasets are accurately labeled and annotation standards support the development of reliable machine learning systems.

Responsibilities

Evaluate the quality of machine-translated text, with a focus on French language accuracy and fluency.
Annotate and assess AI model responses to support systematic evaluation and improvement of model performance.
Create high-quality annotated datasets used to train and evaluate LLMs and other NLP models.
Write and refine LLM prompts that support scalable human annotation workflows.
Collaborate with cross-functional teams, including Data Scientists and Product Managers, to communicate linguistic nuances and implications of French translations on model behavior and user experience.
Analyze annotated data and evaluation results to identify patterns, assess model quality, and surface insights for model improvement.
Requirements:
Native French speaker and high proficiency in English.
Strong attention to detail and ability to perform precise, consistent work across large volumes of data.
Interest in linguistics, language quality, and the interaction between language and AI systems.
Ability to follow detailed annotation guidelines and maintain high accuracy and consistency.
Ability to analyze annotated data and evaluation results to identify patterns and assess model performance.
Ability to work independently with strong communication skills.
Experience with using excel for data analysis
This position is open to all candidates.
 
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01/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Business Analyst
The opportunity
Our Business Analyst will thrive in a dynamic, fast-paced environment that offers exposure to a diverse portfolio of game genres and a culture that actively encourages the use of AI tools to scale your impact. This is a highly collaborative space where youll work alongside and learn from top-tier industry experts, ensuring continuous professional growth and innovation.
What you'll be doing
Analyze large-scale player data to identify trends, opportunities, and risks across retention, progression, economy, and monetization.
Build and maintain dashboards and reports used daily by Product, Game Design, and Monetization and R&D teams.
Define and monitor KPIs, detect anomalies, and proactively surface insights to stakeholders.
Partner closely with Product Managers, Economy Managers, and Developers to support data-driven decision making.
Support A/B testing efforts: experiment design, results analysis, and clear recommendations.
Requirements:
A business-oriented mindset focused on delivering results.
Sharp analytical skills to uncover insights and solve complex challenges.
A true team player-collaboration is central to innovation!
Someone who takes initiative and approaches challenges with confidence and curiosity.
2+ years of experience in Business Analyst (Gaming industry- must)
Experience building dashboards using modern BI tools
Strong ability to explain complex data concepts and insights to non-technical audiences
Extensive SQL skills and experience working with large, complex datasets
Strong presentation and communication skills and proficiency in English
You might also have
Experience working with Cursor - an advantage.
This position is open to all candidates.
 
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26/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Data Analyst to join one of our R&D. You'll design and deliver data-driven solutions that combine data analysis, statistical methods, improved heuristics, and ML models training to power our company's autonomous supply chain intelligence platform. You'll work closely with data science, engineering, product, and supply chain experts - owning solutions from problem definition to iterative improvement.
Responsibilities
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of supply chain performance
Improve and maintain heuristic rules and analytical models for supply chain use cases (e.g., inventory risk, demand patterns, root-cause analysis)
Train and iterate on ML models to enhance existing analytical solutions
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement and refine hybrid decision logic by combining analytical outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Collaborate with software engineers to support deployment of analytical solutions, including testing and logging
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking.
Requirements:
BSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience)
2+ years of experience as a Data Analyst in a product or business environment (or equivalent practical experience)
Familiarity with Python and data analysis workflows
Solid SQL skills (joins, aggregations, window functions) and comfort working with production data in a warehouse/lake environment
Experience performing rigorous evaluation (baselines, cross-validation where relevant, error analysis)
Ability to translate business questions into measurable metrics and a clear analytical plan (with guidance when needed)
Experience working with messy real-world data: data validation, debugging pipelines, and collaborating on labeling/ground truth
Strong communication and collaboration skills with engineering, product, and domain experts; comfortable receiving feedback and iterating fast
Nice to Have (Advantages)
Experience building predictive ML models (e.g., classification, regression, anomaly detection)
Familiarity with common DS libraries: pandas, NumPy, scikit-learn
Experience with big data tools (e.g., Spark, BigQuery, Snowflake, Databricks)
Experience with development AI agents (Cursor, Caude-Code, etc.).
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
You will work closely with internal stakeholders to analyse our company and external data with a hypothesis-driven approach, uncovering specific vulnerabilities, attack patterns, and risk exposures relevant to individual organisations or segments. Your work will translate complex data into compelling, evidence-based narratives that highlight both the impact of fraud and the urgency of addressing it.
Key responsibilities:
Support the Sales team in the generation and progression of revenue-generating opportunities.
Conduct deep, targeted analysis of our company data to identify customer- or segment-specific fraud patterns, risks, and vulnerabilities.
Apply advanced analytical techniques and hypothesis-driven investigation to uncover insights that are not visible through high-level trend analysis.
Leverage AI-assisted analytical tools to enhance the scale and speed of analysis, while applying rigorous data validation and expert judgment to ensure accuracy and relevance.
Translate analytical findings into tailored, prospect-relevant narratives that clearly articulate fraud exposure, business impact, and the value of mitigation strategies.
Develop insight-driven materials that support commercial engagement, including customer-specific briefings, strategic reports, and pre-sales narratives.
Collaborate closely with sales, marketing, and regional teams to align analytical tasks with customer priorities and commercial objectives.
Design and develop effective data visualisations that simplify complex findings and strengthen the impact of customer-facing storytelling.
Present findings internally as well as directly to customers, demonstrating credibility through data-backed insights and clear articulation of fraud risks.
Build and maintain analytical frameworks, datasets, and repeatable methodologies that support scalable customer-focused analysis.
Identify opportunities to enhance analytical workflows through automation and AI, while ensuring critical thinking and professional judgment guide all conclusions.
Stay current with emerging fraud trends, analytical techniques, and AI capabilities, applying them to continuously improve the precision and impact of insights.
דרישות:
A bachelors/masters degree in a STEM field and/or self-directed technology-focused education in data analytics or programming.
Experience in fraud, financial crime, data analysis, or a related field (banking experience advantageous but not essential depending on analytical strength).
Strong SQL skills (intermediate to advanced).
Experience with Python and/or R (strongly advantageous).
Hands-on experience with AI tools to support research and analysis, with a clear understanding of their capabilities, limitations, and associated risks.
Strong analytical skills with the ability to work with complex, large-scale datasets and extract actionable insights.
Strong written and verbal communication skills, with the ability to translate technical findings into clear, commercially relevant narratives.
Experience in delivering effective messages to executive level audiences.
Ability to create impactful data visualisations that support insight communication.
Our ideal candidate will possess:
Strong attention to detail and a curiosity for uncovering hidden patterns in data.
A highly analytical mindset, with a structured and hypothesis-driven approach to problem solving.
The ability to operate in ambiguous environments with incomplete or imperfect data, applying reasoning to reach sound, defensible conclusions.
The ability to connect analytical findings to real-world business impact and customer outcomes.
Strong communication and collaboration skills, particularly when working with commercial and non-technical stakeholders.
A proactive mindset with a willingness to experiment with new analytical approaches and tools, including AI.
A self-driven approach to adopting new technologies and rapidly building proficiency.#ENGLI המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a highly analytical Data Analyst to join our Data Science team and support the development, evaluation, and improvement of data-driven models and research initiatives. In this role, you will work closely with data scientists to analyze large-scale behavioral and transactional datasets, generate insights, and help translate raw data into meaningful signals.
Responsibilities
Conduct exploratory analysis on large-scale behavioral and transactional datasets.
Partner with data scientists to support model development, evaluation, and validation activities.
Investigate patterns, anomalies, and trends in user behavior, fraud indicators, and system performance.
Build Python-based analytical workflows to support data investigations and research tasks.
Collaborate with engineering and data teams to maintain high standards of data quality and integrity.
Communicate analytical findings clearly and concisely to the data science team.
Requirements:
2-4 years of experience in a Data Analyst or similar analytical role
Strong Python skills for data analysis (e.g., pandas, numpy, data exploration)
Experience using AI-assisted tools (e.g., generative AI, code assistants, or data analysis copilots) to enhance data exploration, analysis efficiency, and insight generation, with an understanding of their limitations and best practices
Strong SQL skills and experience working with large datasets
Solid understanding of statistical concepts and exploratory data analysis techniques
Strong problem-solving and analytical thinking skills
Ability to clearly communicate analytical findings
Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
Nice to Have
Experience working closely with data science or machine learning teams
Familiarity with machine learning workflows and model evaluation
Experience in fraud detection, risk, cybersecurity, or fintech domains
Experience working with large-scale data pipelines.
This position is open to all candidates.
 
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