Fraud Data Analytics Manager

Role overview The Fraud Data Analytics Manager at Checkout.com leads a team dedicated to identifying and reducing fraudulent activity across the company’s platforms. Based in Tel Aviv, this manager supports the safety of financial services by guiding analysts in the use of data analytics to develop and refine fraud detection models. The work helps secure transactions and protect customers from risk. What you will do Lead and mentor a team of fraud analysts Develop and enhance fraud detection models and strategies through data analytics Collaborate with teams across the company to improve fraud prevention processes Support the ongoing safety and integrity of Checkout.com’s financial services Collaboration This role involves close partnership with cross-functional teams to strengthen the company’s fraud prevention framework and maintain secure operations.

About Checkout.com Checkout.com supports online payments for global names such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company’s mission focuses on making digital transactions smooth and efficient, helping businesses succeed while delivering a frictionless checkout for customers. Headquartered in London, Checkout.com operates from 19 offices worldwide. The team values innovation and high performance, aiming to shape the future of fintech. Role Overview: Fraud Data Analyst – Merchant Focus Checkout.com is expanding its automated fraud prevention efforts and is hiring a Data Analyst to join the Fraud Analytics team in Tel Aviv. This position works with vast datasets, analyzing billions of transactions each year to help protect large enterprises from fraud. The Fraud Data Analyst collaborates closely with engineering, data science, and commercial teams to develop scalable solutions for detecting and preventing fraudulent activity. The role offers significant ownership and the opportunity to grow within a collaborative team. Candidates who are data-driven and comfortable in a fast-moving environment will find this position rewarding.

AppsFlyer stands at the forefront of mobile attribution and marketing analytics, enabling countless premier applications and brands to make informed growth decisions. Our Analytics offerings lie at the heart of our Measurement suite, transforming intricate attribution, revenue, and performance data into reliable, actionable insights that scale marketing strategies effectively. We are in search of a Senior Product Manager to bolster our Analytics team within the Measurement division. In this pivotal role, you will oversee a fundamental analytics domain utilized daily by global advertisers to assess, interpret, and enhance their marketing performance. You will navigate the complexities of large-scale data, attribution challenges, privacy-centric measurement modifications, and AI-augmented functionalities—shaping the way our customers comprehend and depend on their marketing data. This role is high-impact and highly visible, directly influencing customer trust, product strategy, and the advancement of AppsFlyer’s analytics platform.

At Similarweb, we are transforming the way businesses navigate the digital landscape by providing comprehensive insights into online activities. Our innovative data solutions empower over 13,000 clients globally—including industry giants like Google, eBay, and Adidas—to make informed decisions that enhance their digital strategies. Following our public listing on the New York Stock Exchange in 2021, we continue to reach new milestones! Join our diverse team of Similarwebbers—bright, inquisitive, practical, and genuinely good people—from around the world.About the RoleWe are seeking an Analytics Engineer to join our dynamic team, playing a critical role in how data informs our product and business strategies.This position is ideal for someone who thrives at the intersection of data, product, and strategy. While Product Analysts focus on deriving insights from data, you will lay the groundwork by establishing robust data foundations that make these insights achievable. Your responsibilities will extend beyond executing queries; you will design data architectures and oversee the 'source of truth' tables that support our strategic decision-making processes.In this role, you will collaborate closely with our Growth and Solutions teams, ensuring that the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, dependable, and user-friendly. Your contributions will directly influence our product development, scaling efforts, and innovation.What You’ll DoDefine the Source of Truth: Transform raw, complex data into clean, well-structured tables for Product Analysts and Business Leaders to facilitate critical decision-making.Translate Strategy into Logic: Collaborate with Product, Growth, and Solutions leads to convert abstract concepts (such as 'Activation,' 'Retention,' or 'Feature Adoption') into precise SQL definitions and automated datasets.Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to provide them with the structured data foundations necessary to develop models and external data products.Optimize for Usability: Ensure our data is not just available but also easy to use, designing the data logic that drives our most essential product dashboards and growth funnels.Maintain Data Integrity: Serve as the guardian of our metrics, ensuring that the figures used in our product and business reports are consistent, reliable, and logical.

At Gong, we harness the transformative power of AI to revolutionize how revenue teams achieve success. Our Gong Revenue AI Operating System integrates data, insights, and workflows into a cohesive and reliable system that not only observes but also guides and acts alongside the world’s leading revenue teams. Leveraging the Gong Revenue Graph, AI-driven intelligence, specialized agents, and trusted applications, we empower over 5,000 global companies to gain profound insights into their teams and customers, automate essential sales processes, and close more deals with increased efficiency. Discover more at www.gong.io.Joining Gong means becoming part of a company dedicated to innovation, ambitious objectives, and a passionate workforce. We are at the forefront of shaping the future of revenue intelligence, and we seek individuals who are eager to contribute to what lies ahead. Here, you will collaborate with a team that dreams big, moves quickly, and values both the craft and each other. Transparency and trust are foundational to our operations, ensuring every member has the opportunity to make a meaningful impact. If you’re ready to grow, push boundaries, and engage in work that truly matters, Gong is the ideal place to excel in your career.We are in search of a Lead Product Analytics Strategist, a visionary leader who operates at the intersection of data integrity and talent development, committed to converting raw metrics into a sophisticated analytical powerhouse.In this role, you will uphold our analytical standards while remaining deeply engaged with the data, ensuring our insights are both precise and impactful.

At Loora, we're on a transformative mission to enhance education and eliminate language barriers through our innovative AI technology, which powers the first-ever personal AI English tutor. Our platform provides users with a responsive AI tutor, available 24/7 to engage in conversation, offer immediate feedback on English skills, and support learners on their path to fluency.We are in search of an Analytics Lead to take charge of our analytics function from end to end. This pivotal leadership role is perfect for someone eager to dive into the analytics landscape while also shaping its strategic direction. As the foremost authority on analytics at Loora, you will establish the metrics defining success, guide data-driven decision-making, and collaborate with Product, Marketing, and Engineering teams to embed analytics into their daily practices.In this role, you will work closely with cross-functional teams to determine what should be measured, how it should be visualized, and how insights can translate into actionable strategies. Your goal will be to cultivate a culture of data-driven decision-making, not just by providing dashboards but by influencing the questions, metrics, and frameworks that underpin them.Key ResponsibilitiesSpearhead the company’s analytics strategy by defining essential metrics, KPIs, and success measurements across Product, Growth, and Marketing.Conduct comprehensive funnel analyses to connect acquisition, activation, retention, and monetization, optimizing long-term user value.Serve as the primary analytics partner to leadership and teams, collaborating with Product, Marketing, and Engineering to shape decisions and set priorities.Correlate marketing expenditures with revenue outcomes and ROI, driving data-informed decisions regarding budget allocations across campaigns and channels.Develop and standardize dashboards and reports that promote clarity, alignment, and widespread adoption across the organization.Lead experimentation and growth analysis by establishing frameworks for A/B testing, evaluating performance, and guiding decision-making processes.Ensure data quality and trust by maintaining consistency across tools, identifying gaps, and enhancing tracking and measurement.Utilize AI-powered tools to boost data analysis efficiency and automate routine tasks.QualificationsA minimum of 7 years of experience in Data Analytics within a B2C product environment.Demonstrated experience in a lead, head, or principal-level role overseeing analytics across various domains.Proficient in hands-on SQL (required), with statistical modeling experience considered advantageous.Exceptional communication skills with the ability to convey complex insights in a clear and actionable manner.Strong analytical thinking and problem-solving capabilities.

Join Wix2 as a Data Analyst and be at the forefront of data-driven decision-making. In this role, you will analyze complex data sets to uncover insights that drive strategic initiatives. Your expertise will contribute to enhancing our marketing strategies and overall business performance.The ideal candidate will possess a strong analytical mindset, proficiency in data visualization tools, and the ability to communicate findings clearly to stakeholders. If you have a passion for data and a desire to make an impact, we want to hear from you!

Join Mavenscareers as a Data Science Manager, where you will lead our data science team to drive impactful insights and innovative solutions. You will oversee data analysis, model development, and the deployment of machine learning algorithms to enhance our business strategies. Ideal candidates are those who thrive in a fast-paced environment, leveraging their analytical skills to inform decision-making.

About UsRiskified is dedicated to empowering merchants and consumers to unlock the full potential of eCommerce by ensuring it is safe, accessible, and seamless. Our international team collaborates with the world’s most innovative eCommerce brands, helping them mitigate risk and uncertainty in their operations. Merchants leverage Riskified's cutting-edge machine learning platform to foster trustworthy relationships with customers, resulting in increased sales and reduced costs. We have analyzed hundreds of millions of transactions, approving billions of dollars in revenue for leading global brands, including Wayfair, Wish, Peloton, Gucci, and many more. As of July 29th, 2021, Riskified has been publicly traded on NYSE under the ticker RSKD.About the RoleWe invite you to join our dynamic analytics team at Riskified as we expand our operations in Tel Aviv! We are seeking a talented Data Analyst to play a crucial role within our Product Ops analytics team. In this position, you will be instrumental in driving research, product development, and product design, while creating automated analytical solutions for both internal and external applications. You will utilize your analytical expertise to deliver valuable insights to our Merchants, Product Managers, Data Science, and Development teams.What You'll Be DoingPerform thorough analysis to identify the most effective ways for customers to utilize Riskified’s solutions, including recognizing upsell opportunities.Offer strategic analysis and critical insights as we plan for long-term growth.Investigate and analyze data utilizing advanced analytical tools in a highly technical environment.Effectively communicate complex analytical findings and sophisticated technical methodologies to both technical and non-technical stakeholders.Collaborate with various teams within Riskified (including Account Managers, Product Managers, and Account Executives) to enhance processes and meet customer needs.Gain expertise in the online fraud prevention sector through hands-on analysis of real-time data.

Join Eleos Health as a Senior Data Scientist and leverage your expertise in data analysis to drive meaningful insights in the healthcare sector. You will work closely with cross-functional teams to develop and implement advanced analytical models that enhance patient outcomes and streamline operations.

Join DoubleVerify, the leading provider of digital performance solutions, empowering advertisers and agencies to verify, optimize, and prove the efficacy of their digital campaigns through unbiased third-party data and analytics. Our mission is to deliver unparalleled transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms. Since our inception in 2008, we have partnered with hundreds of Fortune 500 companies to maximize their media investments with best-in-class solutions across the digital advertising ecosystem. Discover more at www.doubleverify.com. As a Manager in our Data Science and Research team, you will lead a talented group of Data Scientists while diving deeply into hands-on technical work. This role is approximately 70% hands-on, merging direct modeling efforts with strategic team leadership. Your work will focus on core systems operating at a large scale, where: Data is plentiful, but labeled data is limited and costly. Challenges are often long-tail and complex. Systems must adhere to stringent latency and cost constraints (pre-bid). Key Responsibilities: Oversee the development of content classification systems across various social platforms including Meta, TikTok, and YouTube, as well as web and mobile applications. Design and implement models leveraging computer vision, natural language processing, and multimodal pipelines. Manage the entire lifecycle from data selection to labeling strategy, training, evaluation, and deployment. Formulate strategies for efficient data curation and labeling, including active learning and auto-labeling. Enhance model quality (precision/recall) while balancing cost, latency, and scalability. Drive automation systems for auto-labeling, auto-curation, and retraining processes. Utilize modern AI methodologies, such as LLMs and embeddings, to tackle real-world production challenges. Lead and mentor a team of senior Data Scientists, establishing technical direction and propelling execution. Collaborate closely with ML Engineering, Product, and Policy teams to transform ambiguous requirements into actionable solutions.

About UsDoubleVerify, an Israeli-founded leader in big data analytics (NYSE: DV), is at the forefront of digital media verification. Each day, we track and analyze tens of billions of ads for the world’s leading brands. With our operations managing over 100 billion events daily and achieving over 1 million requests per second at peak times, we ensure that ads are fraud-free, contextually appropriate, geotargeted, and measurable in terms of viewability and user engagement throughout their lifecycle.With headquarters in New York City and research and development centers across the globe—including Tel Aviv, New York, Finland, Berlin, Belgium, and San Diego—we thrive in a fast-paced environment filled with stimulating challenges. If you’re eager to contribute to high-impact products that shape both the industry and the web, we want you on our team.Key ResponsibilitiesWe are looking for a Senior Technical Program Manager to spearhead the successful delivery of intricate software projects. You will facilitate cross-functional collaboration, keep projects aligned with timelines, and ensure that stakeholders are regularly updated while perpetually enhancing engineering processes. The ideal candidate is tech and AI-savvy, proactive, a strong communicator, and a team-oriented individual who excels at execution.Oversee the complete execution of assigned software projects, grasping business value, critical paths, and milestones.Develop and maintain comprehensive project timelines.Initiate project kickoffs and lead cross-team steering meetings.Manage inter-team dependencies and communicate handoffs with external stakeholders.Deliver regular updates in both written and verbal formats, using automation combined with strategic insights to report on timing, risks, and action items.Manage the lifecycle of meetings by creating agendas, facilitating discussions, and documenting actionable items with defined ownership.Proactively follow up on action items and ensure accountability among team members.Direct meetings towards definitive outcomes, maintaining focus in discussions.Lead go/no-go meetings with engineering, QA, and product stakeholders.Evaluate and refine engineering processes to enhance team efficiency.Coach teams on Agile methodologies and audit scrum ceremonies for ongoing improvement.Support planning processes and facilitate their execution.

Role Overview Tulip is hiring a Data Operations Engineer to help manage and improve data operations. This role focuses on maintaining data quality, refining workflows, and supporting the efficiency of daily processes. The position is based in Budapest, Munich, or Tel Aviv. What You Will Do Work closely with teams across the company to ensure data remains accurate and reliable Identify opportunities to streamline data-related processes Support ongoing efforts to improve the efficiency of data operations Location Budapest, Hungary Munich, Germany Tel Aviv, Israel

About UsAt Riskified, we empower businesses to drive ecommerce growth by eliminating the risks associated with online transactions. Trusted by some of the world's leading brands and publicly traded companies, Riskified offers guaranteed protection against chargebacks, robust fraud prevention, and enhanced customer retention. Our AI-driven fraud and risk intelligence platform is designed and managed by a diverse team of ecommerce risk analysts, data scientists, and researchers, ensuring that we provide real-time, identity-based insights for every interaction. We are proud to collaborate with renowned companies across various industries, including Booking.com, Acer, Gucci, Lorna Jane, and GoPro, among others.We cultivate a collaborative work environment where talented individuals unite to build and refine impactful products. Our commitment to creating meaningful contributions fosters a sense of purpose that resonates beyond our daily tasks, making Riskified a compelling choice for professionals.About the RoleAs a Technical Account Manager at Riskified, you will engage with a diverse range of clients, each with unique needs and technical workflows. You will play a pivotal role in assisting our merchants in optimizing the technical aspects of their Riskified services.Your responsibilities will include collaborating with well-known retailers striving to reduce online fraud and enhance profitability through the optimization of our service offerings.Internally, you will work closely with departments such as Product, Account Management, Analytics, Data Science, and R&D to ensure all facets of the product lifecycle are effectively managed.The ultimate objective of the Technical Account Manager is to take ownership of the technical integration processes, driving upsells and cross-sales to facilitate our merchants' growth.What You'll Be DoingServe as the primary technical liaison for enterprise clients, overseeing integration efforts and driving upsell and cross-sale initiatives.Translate business requirements into technical solutions by leveraging a comprehensive understanding of Riskified’s platform capabilities.Develop and manage collaborative project plans with clients, ensuring timely achievement of milestones and deliverables.Collaborate closely with Account Management, Sales, and Support teams as the technical subject matter expert on both new and existing offerings.Troubleshoot complex technical issues, conduct investigations of logs and data, and provide actionable insights and resolutions.

Elevate Your Career with Zynga!At Zynga, we unite people through the joy of gaming. As a global pioneer in interactive entertainment, and a proud member of Take-Two Interactive, our games have reached over 6 billion downloads, creating connections among players in more than 175 countries through engaging, strategic fun.Our diverse portfolio of games, ranging from exhilarating casino experiences to epic strategy showdowns, offers something for everyone. Some of our beloved titles include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, and many more!Founded in 2007 and based in California, our teams across North America, Europe, and Asia collaborate to create unforgettable gaming experiences. At Zynga, innovation meets enjoyment, and you can advance your career in an exciting environment.Become part of our dynamic team!We are seeking an innovative and technically adept Data Science Manager to join our Data Science & MLE group within the DS & Analytics organization.In this crucial role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, serving as the pivotal link between advanced technical innovation and overarching business strategy. You will not only manage a team but also act as the Technical Lead, defining solutions to complex challenges—from predicting player behavior to optimizing marketing budgets through the latest advancements in Generative AI.You will collaborate closely with Game Directors, Product Managers, and our central analytics teams to maximize value across Zynga's extensive game portfolio. If you are a leader fluent in data, equipped with profound Data Science expertise to guide methodologies while possessing high-level MLE and Engineering skills to build scalable, production-ready systems, we want to hear from you.

HoneyBook stands at the forefront of innovation as the premier AI-driven business management platform tailored for service-oriented professionals. Our mission is to empower independent entrepreneurs by equipping them with AI-enhanced tools that simplify lead generation, client engagement, project booking, and payment management. With AI seamlessly woven into each aspect of our workflows, we enable business owners to dedicate more time to their passion while confidently scaling their operations. Since our inception in 2013, we've facilitated over 25 million client connections and have processed upwards of $12 billion in transactions, driving accelerated growth for independent businesses.At HoneyBook, our corporate culture is anchored in five core values that guide our actions and decisions. We cultivate an environment that promotes collaboration, constructive feedback, accountability, and a commitment to continuous growth. We recognize that valuable experience comes in various forms—some evident on a resume, others not. If you thrive in a fast-paced, intellectually stimulating environment and possess relevant experience, we encourage you to join our team.We are currently seeking a Marketing Data Analyst to become an integral part of our Data team in Tel Aviv. In this pivotal role, you will wield significant influence over key decision-making processes related to marketing budgets, user journeys, and strategic cross-functional collaborations. Your insights will be instrumental in shaping the company's future direction.

Product Analytics is designed to empower developers, product managers, and designers to gain insights into user behavior, make data-driven product decisions, and assess the repercussions of technical challenges on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you will be part of a dynamic, rapidly expanding product area. Your contributions will be vital in shaping our technical vision, guiding the product roadmap, and tackling intricate engineering challenges at scale.Within Product Analytics, we aggregate and process data from various sources, including clickstreams, user profiles, and external systems. Your role will be pivotal in constructing a sturdy and adaptable system that can effectively ingest, manipulate, correlate, and store this data, enabling efficient queries by our end users.At Datadog, we cherish our workplace culture—its ability to foster relationships, ignite creativity, and promote collaboration. We function as a hybrid workplace to offer our employees the flexibility needed to achieve a harmonious work-life balance.

Join HoneyBook, the premier AI-driven business management platform designed specifically for service-based entrepreneurs. Our innovative tools empower independent professionals to attract clients, streamline project bookings, and manage payments seamlessly. By integrating AI into every aspect of our workflows, we enable entrepreneurs to focus on their passions while confidently scaling their businesses. Since our inception in 2013, we have facilitated over 25 million client relationships and processed upwards of $12 billion in transactions, driving smarter and faster growth for independent businesses.Our organizational culture is founded on five core values: collaboration, feedback, accountability, and a commitment to growth. We recognize that valuable experience can come from various avenues—some visible on your resume, others not. We invite you to apply even if you don't meet every single qualification; if you thrive in a dynamic and intellectually stimulating environment, we encourage you to reach out!We are seeking a skilled Data Architect to serve as the go-to expert for all data-related initiatives within our organization. In this role, you will collaborate closely with our engineering teams across Product, Platform, and Data divisions to design, govern, and enhance our data models, databases, and systems. Your primary objective will be to ensure that our data storage and retrieval processes are scalable, reliable, secure, and efficient across the organization.

In today's landscape, cloud computing represents a significant business cost and can be challenging to manage effectively.At Finout, we empower organizations to gain deeper insights into their cloud expenditures, enabling them to make informed, rapid, and strategic decisions.We are proud to serve esteemed clients such as The New York Times, Wiz, Elastic, SiriusXM, and Lyft, supported by premier investors with over $85 million raised. Over the past four years, we have expanded to a team of over 100 professionals across Tel Aviv and New York, and this is just the beginning.If you are passionate about building impactful solutions, solving real-world problems, and accelerating growth, we would love to connect with you.

Join Wiz, the fastest-growing company in cloud security, and empower businesses to thrive in the cloud! As a Cloud Data Researcher in our AI Research Team, you will be at the forefront of advancing data security and insight extraction within cloud environments. Your mission will be to develop and implement advanced classification methodologies to identify and secure sensitive data across major cloud service providers. Collaborate with some of the largest organizations globally while tackling challenges related to unstructured data and document files, all while making a significant impact in a rapidly growing market.