לוח משרות דרושים Data Analyst בתל אביב יפו, לחיפוש זה נמצאו 59 משרות

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.

our company helps game developers monetize their titles with ad placements that complement the gameplay. By monetizing the entire game session, developers benefit from consistent and reliable revenue streams. Supporting all major and custom-built game engines and a full-stack ad monetization solution that provides complete control over ad placements makes the preferred in-game ad monetization partner for developers worldwide.

Backed by Sony Innovation Fund, NBCUniversal, Samsung Next, Bandai Namco Entertainment 021 Fund, WPP, PayPal Ventures, and many other prominent investors, our company is on a mission to make advertising in games better. Better for brands, better for game developers, and better for gamers. Learn more.

WHAT WILL YOU DO?
Manage and monitor programmatic performance regularly, striving to consistently refine tactics and produce exceptional results for our customers
Provide regular reports (weekly, monthly, and quarterly) for the internal and external teams with goals, performance, and insights
Conduct weekly calls and QBRs while maintaining close relationships with our partners
Work closely and collaborate with the product, data, and finance teams on feature requests, product enhancements, and data analytics reports
Onboard new supply partners utilizing Prebid and oRTB protocols

We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

we are looking for a Analytics Engineer.
This role combines hands-on ownership of data pipelines and data transformations with the ability to effectively interface with customer-facing teams (Customer Success, and Delivery) when needed-helping ensure that data outputs are accurate, clear, and aligned with real-world use cases.
Responsibilities:
Build and maintain data models, pipelines, and ETL processes to support analytics, reporting, and machine learning.
Own data quality and validation, including monitoring, auditing datasets, and identifying anomalies.
Support customer-facing teams by providing reliable data, clarifying definitions, and investigating data issues.
Collaborate cross-functionally and work with existing codebases to debug, improve, and maintain data workflows.
Ensure high-quality data across the lifecycle to support reliable ML pipelines.

Were seeking a passionate Content QA Analyst to join our R&D department. By evaluating conversations our users have with our AI agents, you'll help spearhead our efforts to improve product quality and user experience and take part in strategizing efficient solutions.
Responsibilities
Review and analyze end users conversations with our AI assistant in order to find the most impactful conversations and improve our core conversation engine.
Identify, generalize, and bucket problems in our new and existing use cases.
Evaluate new features and capabilities to ensure they are polished prior to release.
Use LLMs like ChatGPT in order to automatically analyze conversations and improve our natural language understanding.
Create and tag datasets to train new, highly accurate AI models.
Work closely with product managers, UX experts, software engineers, solutions engineers, and NLP experts to propose solutions and participate in the implementation.

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.

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.

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).

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.

As the Senior Knowledge Engineer, you will be the designer of a system that treats global infrastructure as a formal graph, where every node and edge is traced back to a versioned source of truth. This role is a part of the Product CTO organisation that includes a team of Technical Strategy leaders that bring outstanding ideas, the ability to execute cross functionally, and teamwork to a strategic, high future impact organisation.

The Vision:

The security industry is drowning in observed symptoms while starving for attestable truth. At CrowdStrike, we are building a high integrity infrastructure fabric - a platform that doesnt just scan for risks, but proves them through a deterministic digital twin of the enterprise.

The Challenge Youll Solve: How do you build a robust extensible framework that can connect to hundreds of different APIs, from mainstream cloud providers to niche security tools? How do you write the code that can parse and normalise their widely different schemas and data formats, and then efficiently map them into a canonical graph model? This is your build.

What You'll Do:
Build our Universal Translator Framework: You will be the primary builder of our data ingestion and semantic transformation pipelines. You will design and implement the core framework and specific connectors to parse API schemas and transform raw data into our canonical model.

Architect the Knowledge Construction Engine: You will implement the systems that turn data into knowledge. This includes building the code generators that compile our team's high level mapping configurations into low level artifacts, and developing the software for our entity resolution engine to fuse disparate data into unified conceptual entities.

Data Quality & Validation Strategy: You will contribute to a multi-backend graph architecture optimized for both real time temporal state and deep multihop path analysis.

Work Crossfunctionally: Work closely with the Principal Ontologist, Asset Platform, Risk Platform, Ingest, and Design Teams.

Lead, Mentor, and Align: Guide a diverse team of engineers, taxonomists, and subject matter experts in distilling vendor specific noise into a unified topography of risk.

Provide support to the wider CTO organization including the Falcon Fund, Privacy & Cyber Policy, Data Science and Detection Architecture teams, as well as the broader CrowdStrike organization as needed.

Work with industry analysts to provide product updates, briefings, and demonstrations.

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.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io As a Growth Product Analyst at Artlist, you will sit at the intersection of Performance Marketing and Product. Your mission is to maximize acquisition and optimize the post-landing user journey. Serving as a key data partner for our Growth Product Squads, you will analyze how incoming traffic interacts with the platform, from landing pages to promotions. You will also act as the primary point of contact for performance fluctuations, bridging the gap between marketing campaigns and internal product funnels. What You’ll Do
* Product Funnel & Visitor Analysis: Analyze user behavior from the moment traffic lands on the platform. Understand navigation patterns and how users interact with site elements and promotions to drive conversion.
* Performance Triage & Insights: Act as the first line of defense for Performance Marketing and Business Analytics when acquisition or conversion shifts occur. Perform root-cause analysis to identify product friction and route deep-dives to relevant teams when necessary.
* Growth & Acquisition Partner: Partner closely with Product Managers and developers to drive initiatives around landing page optimization, pricing displays, and the self-serve product experience.
* Cross-Functional Collaboration: Collaborate with Business Analytics and Performance Marketing to align on traffic quality and campaign performance. Work with Product Marketing (PMM) to execute and measure in-product promotions.

Required Annotation Specialist
About us:
We are revolutionizing the construction industry by introducing advanced AI and Computer Vision technologies into traditional construction processes.
The platform seamlessly transforms construction operations into data-rich, digital environments, saving time and minimizing costs. Our product is already being used on active construction sites in more than ten countries, creating tremendous value for our clients and users.
We are backed by a world-class investment team comprised of VCs, construction industry leaders and well-known angel investors.
This position offers the opportunity to support cutting-edge technology work.
Responsibilities:
Responsible for analyzing and labeling data as part of our product manufacturing processes.
Responsible for ensuring the accuracy, completeness, and overall quality of the data at the customer site
provides fast, precise, and professional responses to special requests from the customer.
Take part in product improvement and work optimization.
Be at the center of the company's endeavors.
Be a crucial part of the companys product quality.
Takes a proactive part in the configuration of projects.

Required Predictive Analytics Solution Engineer
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights::
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson,, and SciPlay
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs.