AI Insights and Research Specialist

11/05/2026

Senior Business Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

Were looking for a Senior Business Analyst who works at the intersection of growth, data, and strategy, and acts as a true partner to our Go-To-Market and Revenue teams. This role goes beyond reporting-its about understanding the drivers behind our business performance, shaping commercial strategy, and turning complex data into actionable growth levers.
Youll be deeply embedded in how our business scales, from defining commercial success metrics and optimizing the sales funnel to influencing the company roadmap with clear, data-driven recommendations.
Hands-on experience using GenAI to accelerate business analysis, forecasting, insight generation, and decision-making processes is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy working closely with Sales, Marketing, Finance, and Operations leaders.
You like answering complex questions about revenue drivers, customer acquisition, and market trends.
Youre comfortable owning analyses end-to-end-from framing the business problem to measuring the impact.
You thrive in fast-moving, iterative environments where agility is key.
You actively leverage AI tools to improve analytical speed, forecasting quality, and insight depth.
You care about outcomes, not just dashboards.

Requirements:
4+ years of experience in Business Analytics, Revenue Operations, or Data Analytics, ideally in B2B SaaS or PLG environments.
Strong SQL skills and experience working with large, complex datasets to drive business insights.
Solid understanding of SaaS business metrics (CAC, LTV, Net Revenue Retention, Pipeline Velocity, Churn, etc.).
Hands-on experience with experimentation, statistical analysis, and performance modeling.
Proven experience using GenAI tools as part of your day-to-day analytical workflow.
Strong communication skills and the ability to influence executive-level business decisions with data.
Nice to have:
Experience with CRM and BI tools (Salesforce, HubSpot, Tableau, Looker) or data enrichment products.
Background in financial modeling or market share analysis.

This position is open to all candidates.

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6 ימים

Strategic Fraud Intelligence Analyst

חברה חסויה

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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6 ימים

Marketing Data Analyst

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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07/05/2026

Senior Data Product Manager- Retail Intelligence

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product.
Why is this role so important?
We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, eCommerce analytics product.
This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.
What youll experience on this team?
Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?
Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.

Requirements:
5+ years of experience in data product management, or as a technical product manager in a big data environment.
Hands-on experience with large-scale data collection, classification, curation, and delivery systems, especially in companies that build or sell data products.
Proven track record in leading cross-functional data initiatives involving data engineering, data science, and analytics teams.
Entrepreneurial mindset- proactive, and effective in ambiguity, moving quickly from insight to execution.
Comfortable in technical, data-heavy environments: collaborate on APIs, pipelines, data quality, and edge cases.
AI fluency: understand how to embed AI into products and internal workflows (from prototyping through production evaluation).
Excellent communication and stakeholder alignment across product, sales, and marketing.
Strong data-driven judgment: define metrics, analyze product/customer data, run experiments, and make clear tradeoffs.
High learning agility, adaptable in a fast-changing data and AI landscape.
Education: Technical background (CS, Engineering, or equivalent practical experience)
Strong advantages:
Experience in fast-moving startup environments or startup within an enterprise.
Built data products: metrics, pipelines, data QA, and insight generation.
Shipped AI features in product workflows: recommendations, forecasting, anomaly detection, insight generation, or AI agents.
eCommerce/marketplace domain experience: ecosystems, digital shelf, conversion funnels, merchandising.

This position is open to all candidates.

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07/05/2026

Senior Data Product Manager- Retail Intelligence

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product.
Why is this role so important?
We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, eCommerce analytics product.
This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.
What youll experience on this team?
Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?
Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.

Requirements:
5+ years of experience in data product management, or as a technical product manager in a big data environment.
Hands-on experience with large-scale data collection, classification, curation, and delivery systems, especially in companies that build or sell data products.
Proven track record in leading cross-functional data initiatives involving data engineering, data science, and analytics teams.
Entrepreneurial mindset- proactive, and effective in ambiguity, moving quickly from insight to execution.
Comfortable in technical, data-heavy environments: collaborate on APIs, pipelines, data quality, and edge cases.
AI fluency: understand how to embed AI into products and internal workflows (from prototyping through production evaluation).
Excellent communication and stakeholder alignment across product, sales, and marketing.
Strong data-driven judgment: define metrics, analyze product/customer data, run experiments, and make clear tradeoffs.
High learning agility, adaptable in a fast-changing data and AI landscape.
Education: Technical background (CS, Engineering, or equivalent practical experience)
Strong advantages:
Experience in fast-moving startup environments or startup within an enterprise.
Built data products: metrics, pipelines, data QA, and insight generation.
Shipped AI features in product workflows: recommendations, forecasting, anomaly detection, insight generation, or AI agents.
eCommerce/marketplace domain experience: ecosystems, digital shelf, conversion funnels, merchandising.

This position is open to all candidates.

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12/05/2026

Data/Business Analyst - Marketing

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Business Analyst in our company Marketing, youll be a strategic partner, transforming data into impactful decisions that drive our North Star goal. In your day-to-day, you will:
Drive decision-making by defining initiatives, measuring impact, and providing proactive recommendations from deep-dive analyses
Research, define, and rigorously analyze key metrics, understanding root causes and ensuring valid, actionable measurement using statistical methods
Leverage Generative AI and Large Language Models to enhance data exploration, automate analysis, and accelerate insight generation
Lead the design, execution, and interpretation of A/B tests and experiments, guiding product and marketing strategy
Analyze complex user funnels and journeys to identify friction points and optimize paths for engagement and conversion
Pioneer automated tools and build advanced dashboards to empower stakeholders with actionable insights and foster a data-fluent culture
At our company, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at our company and special requests are handled thoughtfully at the team level.

Requirements:
3+ years of experience in quantitative analysis on large data sets, preferably from an online/tech company
Education in a field emphasizing quantitative analysis (such as industrial engineering, finance, statistics, economics, etc.)
Proficient in SQL - writing, optimizing, and managing complex queries
Hands-on experience with Python/R for advanced analysis, or leveraging AI/ML/LLMs for insights as well as data visualization tools such as Tableau and Power BI - an advantage
Excellent visualization and presentation skills
Highly independent, proactive, and a fast learner, capable of prioritizing in a dynamic environment and fostering cross-functional collaboration
Solid understanding of A/B testing methodologies and statistical principles for effective experiment design, execution, and interpretation.

This position is open to all candidates.

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07/05/2026

Big Data Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Big Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

Requirements:
Analyzing Billions of user-based events into meaningful insights for strategic clients.
At least 4 years experience with SQL/pySpark for data analysis - Must
Experience in Python scripting - Must
Excellent verbal and communication skills in English - Must
AWS Infrastructure experience - Big Advantage
Working with clients - Big Advantage.
Proficiency in Online Marketing/Online Services - Advantage
At least 2 years work experience in Online/Tech Company - Advantage
Team player, autodidact, fast learner with excellent analytical, research and business skills.
Demonstrates initiative and a proactive mindset -Must
Experienced in independently managing complex projects from start to finish.
Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
Master's degree - Big Advantage.

This position is open to all candidates.

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6 ימים

R&D Data Analyst

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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03/05/2026

Data Researcher

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Data Researcher
Israel - Tel Aviv
About the role:
As a Data Researcher, you will own one of the companys most critical assets: the accuracy, robustness, and performance of what is widely recognized as the leading e commerce fraud decisioning system in the industry.
In this role, you are expected to think creatively and push boundaries. You will design smart logical and technical solutions to real and constantly evolving business challenges faced by some of the worlds largest and most sophisticated online retailers. Your work will operate at the intersection of deep data research, production systems, and real world impact.
You will also have exposure to key customers, working closely with them to deliver analytical insights and adapt solutions to their unique needs. This direct connection between research, product, and customer impact is a core part of the role.
You will join a high caliber, fast moving research group with a strong culture of excellence, curiosity, and ownership. We work in an informal, collaborative environment where strong opinions are welcome and great ideas move fast. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial tracks, depending on where you want to take your career.
Your work will directly shape our product, protect millions of consumers and merchants, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and continuously refine the core decisioning logic and models that run in our live production systems
Research complex fraud patterns, adversarial behaviors, and emerging global threats at scale
Leverage rich and diverse datasets to generate actionable insights, build new system components, and advance feature engineering efforts
Develop, prototype, and automate tools and processes that improve the accuracy, scalability, and efficiency of our systems
Collaborate closely with Data Scientists, Analysts, Researchers, and Engineers to build the next generation of our AI driven technology.

Requirements:
Psychometric score above 700 or equivalent (e.g. GMAT) - we value this as an indicator of the high-speed analytical reasoning and structured thinking required for this role
Relevant experience in one of the following paths:
At least 4 years of hands on experience in quantitative research or a related role focused on production oriented analytics and hypothesis driven research
Or an MSc or PhD in a quantitative field such as Physics, Economics, Neuroscience, Biotechnology, Computer Science, or similar
A record of high achievement - academically, professionally, or in other personal pursuits
Strong analytical and logical reasoning skills, with a proven ability to break down and solve highly complex problems
Extensive experience working with large scale datasets using scripting languages such as Python, R, or Matlab
Excellent communication skills, with the ability to clearly explain complex technical ideas and research outcomes to a wide range of audiences
Bonus points for:
Experience working with SQL and big data technologies such as Spark
Deep familiarity with machine learning concepts and hands on practice
Background in risk analysis, intelligence, or adversarial research.

This position is open to all candidates.

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אירעה שגיאה בשליחת פרטיך למשרה

27/05/2026

Business Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

The Strategy & Business Analytics team is seeking a highly analytical, business-driven Business Analyst to play a key role in driving the companys growth and profitability. This role is central to analyzing, owning, and optimizing end-to-end business processes that directly impact the companys economic performance and P&L.
The Business Analyst will lead strategic and tactical initiatives across the organization, translating complex data into actionable insights and measurable business outcomes. This role requires strong ownership, independent execution, and close collaboration with cross-functional stakeholders.
Key Responsibilities:
Own and lead end-to-end analytical projects tied to core business processes, with direct impact on revenue growth, cost efficiency, and profitability.
Analyze business performance across products, channels, and customer segments, and translate insights into clear recommendations for strategic and tactical decision-making.
Build, maintain, and continuously improve reports, dashboards, and KPIs to support business monitoring and executive decision-making.
Partner with stakeholders across Strategy, Marketing, Product, Operations, and Finance to drive execution and ensure alignment with business objectives.
Conduct deep customer analysis, including segmentation, lifetime value, profitability, behavioral trends, and cohort analysis.
Work with large, complex datasets and develop scalable analytical tools to streamline processes and improve operational efficiency.
Deliver ad-hoc analyses under tight timelines to support fast-paced business decisions.
Ideal Candidate Profile:
A proactive, hands-on business analyst who takes full ownership of initiatives from problem definition through execution and measurable impact.
Strong commercial mindset with the ability to connect data insights to P&L drivers, growth levers, and profitability optimization.
Comfortable operating independently in a fast-growing, dynamic environment, while influencing stakeholders without formal authority.
Highly analytical, detail-oriented, and driven by turning data into clear actions and results.

Requirements:
Bachelors degree in a highly quantitative field (Economics, Statistics, Mathematics, Accounting, or similar) from a leading university - a must.
Exceptional Excel skills - a must.
Proven expertise in business analysis - a must.
Fluent English, written and verbal.
Strong project ownership skills with the ability to lead initiatives end-to-end with minimal guidance.
Excellent communication skills and the ability to present insights clearly to both technical and non-technical stakeholders.
Advantages:
Internship or experience at a Big 4 accounting or consulting firm.
Experience in eCommerce or an internet-based company.
Experience working with databases and large datasets, including SQL.
Experience with business intelligence, analytics, and data visualization tools (Tableau).

This position is open to all candidates.

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