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לפני 2 שעות
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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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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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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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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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a GTM Strategic Analyst to partner closely with Sales, Marketing, Finance, Customer Success, and executive leadership to drive data-informed decisions across the go-to-market organization.
This is a high-impact individual contributor role, focused on solving complex business problems and shaping strategy - not building dashboards or data infrastructure.
You will work hands-on with data to analyze performance across the revenue lifecycle (pipeline, bookings, retention, efficiency), and translate insights into clear, actionable recommendations that influence planning, prioritization, and execution.
What Youll Do:
Partner with GTM and executive stakeholders to support strategic decisions and planning processes
Own end-to-end analyses: frame problems, explore data (SQL), and deliver clear recommendations
Analyze key GTM areas such as pipeline health, sales performance, marketing effectiveness, and growth drivers
Translate complex findings into concise, decision-ready narratives (presentations, summaries)
Proactively identify trends, risks, and opportunities to improve business performance
Work closely with the data team, leveraging existing datasets and models
Requirements:
5+ years of experience in a senior analyst, strategy, or similar role with exposure to senior leadership
Strong analytical thinking and structured problem-solving skills
Extensive hands-on SQL experience with the ability to independently explore and validate data.
Experience working in GTM or revenue domains (Sales, Marketing, Customer Success, or Finance)
Proven ability to deliver insights that influenced business decisions
Excellent communication and storytelling skills
Nice to Have:
Background in B2B SaaS or high-growth environments
Experience in consulting, BizOps, or strategy roles
Familiarity with BI tools (Tableau, Looker, Power BI)
Experience with Python/R or statistical analysis.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.
Requirements:
At least 3 years experience in data analysis, preferably in a complex business environment.
Experience with User Behavior analysis methods and models: Segmentation, Retention, Ad optimization, User activity funnels, etc.
Strong SQL skills with experience in querying large, complex data sets in with Cloud Data Warehouses (Redshift, Big Query, or Snowflake)
Experience working with BI tools for data visualization (Preferably Looker).
A strong foundation in statistical methods and data modeling.
BA / BSc in Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / similar background.
Quick learner, proactive/can-do attitude with high attention to detail.
A strong sense of ownership, leading data initiatives from end to end independently.
Ability to work in a fast-paced environment.
Creative and critical thinking skills.
A team player with strong analytical and problem-solving skills as well as a business sense.
Excellent communication skills with fluent English (written and verbal); Strong "story-teller" that can communicate insights and recommendations effectively.
Advantages:
Previous experience as a Monetization or Product Analyst / Close collaboration with similar teams - a big advantage.
Hands-on experience with AI Tools and methodologies: Cursor, Claude Code, Context Engineering, NLQ, etc.
Knowledge of Python for data prep, analysis and statistical modelling - a big advantage.
Hands-on practical knowledge in A/B testing to facilitate data-driven decision-making processes.
Knowledge of statistics and experience using statistical packages for analyzing datasets
Experience in a B2C tech company.
Passion for Sport.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team.
In this role, you won't be managing a team; youll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow.
Here are a few of the things you'll do:
Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving our company toward an AI-first, autonomous fraud detection ecosystem.
AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors.
Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.
Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one.
Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats.
Data Excellence: Set the standard for the fraud teams technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference.
Requirements:
5+ years of experience in fintech or payments fraud analytics. You are a seasoned IC who has scaled fraud programs in complex, high-volume environments.
AI/ML Expertise: Proven experience leveraging Generative AI, LLMs (e.g., RAG, agentic workflows), and Machine Learning to solve real-world risk problems. You don't just use these tools; you know how to build with them.
Technical Powerhouse: Mastery of Python (for data science and automation) and SQL (performance tuning, CTEs, window functions). You are comfortable working alongside engineers and data scientists.
Network Analysis: Deep experience with graph databases (Neo4j, TigerGraph) and link-analysis techniques to identify organized criminal networks.
Demonstrated ability to translate complex quantitative findings into executive‑level insights and influence roadmaps across product, engineering, finance, and support.
Strategic Influence: While this is not a management role, you have a track record of influencing technical roadmaps and advising senior leadership on risk-reward trade-offs.
Advanced data‑visualization skills (Looker, Tableau, Omni, Superset, or equivalent) with a portfolio of self‑service dashboards adopted by the company‑wide.
Domain Depth: Expert knowledge of the payments lifecycle, including CNP, ACH, and RTP risk, as well as the specific fraud challenges of the SaaS and marketplace sectors.
Regulatory Fluency: A solid understanding of PCI DSS, Nacha rules, and the emerging regulatory landscape surrounding AI in financial services.
Prior experience scaling fraud programs in a marketplace, SaaS, or creator‑economy context - Advantage.
Education: Bachelors or Masters degree in a quantitative field (e.g., CS, Statistics, Mathematics, Economics) or equivalent technical experience- Advantage.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Senior Business Analyst to help build the technical foundation that powers revenue measurement and business growth across our Pet and EU insurance lines. You'll join our Analytics team in Tel Aviv to create the data infrastructure that turns customer journeys into measurable opportunities. scales across insurance lines, this role bridges the gap between raw data and the automated systems that drive our AI-powered revenue growth.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
support EU and Pet from a business perspective and facilitate strategic analysis to find growth strategies.
Automate revenue measurement systems by taking existing MMM, incrementality, and attribution models and building the ETL logic layer that makes them work together autonomously
Drive MarTech and revenue automation through DBT models that ensure seamless data flows between our warehouse and platforms like Google Ads and AppsFlyer
Contribute to partnership systems by supporting the technical rebuild of our partnership data infrastructure for accurate tracking and attribution of third-party leads
Collaborate with Data Platform teams to ensure revenue requirements are reflected in our data stack, acting as the technical bridge between raw data lakes and business analytics
Enable revenue squads by building shared DBT models and centralized tracking systems that Car, Pet, and Renters teams need to hit their DTC goals
Build scalable frameworks that turn analytical concepts into production-grade, automated pipelines within our data warehouse
Requirements:
Adaptability, drive, and an efficiency mindset - we believe these matter most in human-AI collaboration
5+ years as a Business or Marketing analyst in a technical data role, ideally in fast-paced B2C or FinTech environments
Expert-level SQL skills for writing complex, performant queries and managing large-scale datasets
Strong hands-on experience with ETL processes and data modeling - experience with DBT and Snowflake is a plus
Strong understanding of the advertising ecosystem and how data flows through Google Ads, Meta ads, AppsFlyer, and tag management systems
Ability to take existing analytical concepts and turn them into automated, production-grade pipelines
Solid understanding of revenue measurement concepts like attribution, incrementality, and MMM in a DTC context
Ability to work effectively with Engineering, DWH, Product, and Revenue, while serving as a technical partner to the revenue analytics team - scaling impact by building the shared infrastructure and automated workflows needed to execute their work
Bachelor's degree in a quantitative field like Mathematics, Statistics, Computer Science, or similar
Ready to work in an office environment most days of the week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture
This position is open to all candidates.
 
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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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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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הגשת מועמדותהגש מועמדות
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27/05/2026
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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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8668573
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