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14/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Medical Data Analyst to join our growing Implementation group, reporting to our Squad Lead. The ideal candidate will be responsible for ensuring the successful implementation of new clients and analyzing both historical and real-time client data.



As a Medical Data Analyst, you will:

Analyze and understand clients business objectives, coding patterns and methodologies in order to configure Clinical language understanding engine for optimal performance.
Support clients throughout the technical integration and engine onboarding processes, documenting solutions and proactively improving client-specific outcomes through hands-on work with our codebase to adjust configurations, scripts, and rules.
Actively troubleshoot, investigate, and resolve coding discrepancies, distinguishing issues arising from client-specific configurations versus core engine functionality.
Provide solutions for alerts and incoming escalated tickets from our customers.
Collaborate across multidisciplinary teams - including engineers, linguists, medical doctors, product managers, customer success managers and coders -to ensure smooth project execution and effective communication.
Requirements:
Strong project coordination skills, including the ability to effectively collaborate across multidisciplinary teams and contribute to successful project execution.
Proficiency in both SQL and Python (including Pandas) is a must
Proven experience working with tools such as GitHub, Jira, Confluence, PyCharm, or similar platforms
Familiarity with medical charts and clinical terminology gained through clinical experience or work in healthcare tech companies.
Prior experience in a role involving software configuration, implementation, or troubleshooting in a healthcare or clinical software environment is highly desirable.
Fluent in English - both written and spoken.
This position is open to all candidates.
 
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לפני 16 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and English Speakers
we are looking for a highly skilled and motivated Senior Academic Editor to lead and support the preparation, writing, and submission of peer-reviewed scientific publications related to our clinical, technological, and regulatory activities.
This is a cross-functional role that requires excellent academic writing skills in English, strong collaboration across departments (Clinical, R&D, Product, Regulatory), and the ability to communicate complex scientific data in a clear and compelling way.
The ideal candidate has a background in life sciences, biomedical engineering, or clinical research, and a proven track record in academic publishing-preferably in the fields of medical devices, SaMD, AI in healthcare, or digital health.
Responsibilities:
Write, edit, and manage scientific manuscripts, abstracts, posters, and white papers for submission to peer-reviewed journals and scientific conferences.
Collaborate with internal teams (Clinical, R&D, Data Science, Regulatory) to gather and validate data for publication.
Conduct literature reviews and maintain up-to-date knowledge of relevant clinical and scientific developments.
Manage the end-to-end publication process, including journal selection, formatting, submission, and peer-review response.
Support clinical and regulatory documentation when relevant, such as clinical evaluations, study reports, or white papers
Maintain a pipeline of upcoming publications and coordinate timelines with key stakeholders.
Ensure all scientific materials align with strategic positioning and messaging.
Requirements:
English - native language a must.
2+ years of hands-on experience in academic or scientific writing, preferably in a medical, clinical, or biotech environment.
Proven publication of more than 10 academic papers.
Demonstrated experience publishing in peer-reviewed journals, as lead or contributing author.
Strong understanding of clinical research methodologies, data interpretation, and ethical publishing standards.
Ability to work independently and manage multiple writing projects simultaneously.
Excellent attention to detail, with strong editing and proofreading skills.
Academic background in life sciences, biomedical engineering, clinical research, or related field.
Knowledge of regulatory and clinical frameworks (e.g., MDR, FDA, GCP) - an advantage.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: More than one
Were looking for an experienced Salesforce Business Analyst with strong technical expertise to join our team. As a Salesforce subject matter expert, youll be responsible for delivering scalable, high-quality Salesforce solutions, optimizing workflows, and enabling business teams through reliable system execution.
Working closely with Product Managers, business stakeholders, and other technology teams, youll focus on translating business requirements into robust Salesforce implementations and own E2E solution delivery.
If you thrive in a fast-paced environment and enjoy solving business challenges through technology, this role is for you.
Job responsibilities
Design and build scalable Salesforce solutions in collaboration with Product Managers, Business Operations, and global stakeholders.
Own end-to-end functional delivery, including technical solution design, configuration, implementation, testing, training, and ongoing optimization.
Provide global application support for business stakeholders and end users, ensuring stability, usability, and timely issue resolution.
Identify and implement system enhancements based on defined business needs and Salesforce technical capabilities.
Lead the delivery and maintenance of integrations between Salesforce and third-party tools, working with external vendors to ensure reliable and scalable functionality.
Requirements:
4+ years of hands-on Salesforce implementation experience - a must
B.Sc. in Information Systems or equivalent practical experience
Strong expertise in Salesforce configuration and automation tools (Flows, Process Builder knowledge, etc.)
Experience with Salesforce CPQ / Q2Q Processes (Advantage)
Experience with Salesforce integrations and working with integration platforms (Workato experience is a plus)
Solid understanding of Salesforce data models, data quality, and data migration best practices
Strong communication skills (verbal and written) in English
Service oriented mindset with a focus on reliable delivery and user enablement
Strong problem solving skills and ability to quickly learn and adapt to new business domains
Excellent planning, organizational, and execution skills
Ability to work independently while collaborating effectively with Product Managers and cross-functional teams
Adaptability to thrive in a fast-paced, scaling startup environment.
This position is open to all candidates.
 
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לפני 18 שעות
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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10/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Analyst to join our community!

We are a fast-growing startup in the software-as-a-service and AI Security industry.

As a Data Analyst, you will work with multiple stakeholders - Product Managers, Data Engineers, Software Engineers, Data Scientists and more, to help us make more from our data.

Our mission is to empower security teams to safeguard their SaaS-Identity risk landscape. Grip discovers and classifies risk across SaaS and web apps, uncovering risk prone identities and accounts to close security gaps, prioritize access controls, and achieve continuous SaaS and identity compliance.

Responsibilities:
Take part in our features development process - building warehouse models and writing our data catalog.
Leading long term research to provide innovative insights for our product.
Define and implement data processing and operative workflows.
Work with relevant Grip stakeholders to define how our system should be monitored and how root causes of underperformance can be identified.
Contribute to a culture of learning and knowledge-sharing within the team.
Requirements:
At least 4 years of experience as a Data/Research Analyst in the high-tech industry.
Proven experience designing and building data models in a modern data warehouse environment, with hands-on experience using DBT or similar data transformation frameworks.
Proven experience in leading analysis projects end-to-end - from understanding stakeholders needs to defining data requirements, conducting analysis and providing relevant recommendations.
High proficiency in SQL and visualizations tools.
Knowledge in Python and data analysis packages (e.g. Pandas).
Responsible, fast-learner and highly motivated.
Independent and problem-solve mindset.
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 junior Information System Analyst to join our excellent IS team. The Information System Analyst will assist users on their day-to-day tasks and provide solutions for Product Support, Sales, Marketing, operations and other departments. You will implement new features and capabilities on the Salesforce platform and its integrated tools, supporting end users, and addressing integration and process challenges to ensure efficient and effective business operations.
RESPONSIBILITIES:
Manage user accounts, roles/profiles, and permissions for supported applications. Troubleshoot automations and triggers
Create new fields, validation rules, flows, troubleshoot Integration errors, assist users in creating reports
Support users on their day-to-day tasks including troubleshooting, data fixes and cleanups, reports, dashboards
Implement configuration changes and system enhancements based on business requirements while following established development standards and best practices (e.g., creating/updating custom fields, Flows, email notifications, reports, and dashboards)
Develop meaningful relationships with key stakeholders within the Company (Sales, Customer Success, Marketing, Support).
Requirements:
1+ years of experience in information systems
Hands-on experience as Admin in Salesforce
Demonstrated technical aptitude and experience supporting SaaS applications.
Understanding of business processes and ability to translate business requirements into application functionality
Salesforce.com Admin (ADM201 or ADM211) - Advantage
Excellent communication and presentation skills. Must be very well organized and able to work effectively in an agile and fast-paced environment
Effective problem solver, creative, shows ownership and wants to see issues resolved
Capable of searching and learning new tools
Team player
Fluent in English.
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
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
As a Security Analyst , you will work with network data and customer-facing teams to analyze raw traffic, create data-driven insights, and design solutions that enhance product value and address client needs.

Responsibilities
As a Security Analyst , Your impact will be:

Analyze raw network traffic to uncover anomalous activities.
Perform in-depth data analysis utilizing various tools
Take responsibility for all data needs for certain clients
Create useful and creative data queries
Investigate complex security incidents within cyber-physical environments.
Develop heuristics and logic-driven analysis by both security and network insights to improve the value of the product
Initiation, Prioritization, and design of R&D work based on customer needs
Work with customers and our customer-facing teams to design new features, improve their workflows, and address issues
Requirements:
3+ years of proven Data Analysis experience in a cyber-security domain or 5+ years of experience in other domains
Experience with network security, networking concepts, communication protocols
Experience with Detection Engineering, Anomaly Detection or Network Forensics
Experience with SQL
Experience with Python (advantage for Pandas or other data analysis tools)
Experience with AI coding tools such as Cursor, Claude Code or similar - Advantage
Excellent communication skills, oral and written
Willing and able to meet challenges head-on, solve problems independently and make things happen
Open-minded, flexible, and thrive in a highly dynamic, fast-paced, ever-changing environment
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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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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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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