דרושים » תוכנה » Fraud Analyst

we are looking for a Fraud Analyst.
As a Fraud Analyst, you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system. You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.
In this capacity, your work will also include some direct engagement with these key customers, providing analytical insights and helping to tailor solutions to their specific needs.
This is a role with significant technical aspects, but prior coding knowledge is not required - we believe the right candidates can learn everything they need to do this job well as part of our training process, and while doing the job.
You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field. We foster an informal, collaborative environment where your contributions are highly valued. This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and refine our systems decisioning logic in production.
Conduct in-depth research into complex fraud patterns and emerging threats.
Leverage extensive datasets to derive actionable insights and enhance decisioning accuracy.
Develop and automate analytical processes to improve efficiency and scale our capabilities.
Collaborate with Data Science, Engineering, and other cross-functional teams to drive platform improvements.

we are looking for a Data Researcher.
As a Data Researcher, you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system.
You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.
In this capacity, your work will also include some direct engagement with these key customers, providing analytical insights and helping to tailor solutions to their specific needs.
You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field.
We foster an informal, collaborative environment where your contributions are highly valued.
This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and refine our systems core decisioning logic and models in a live production environment.
Conduct in-depth research into complex fraud patterns, adversarial networks, and emerging global threats.
Leverage rich datasets to derive actionable insights, develop new system components, and advance our feature engineering processes.
Develop, prototype, and automate new tools and processes to enhance the precision and scale of our systems.
Collaborate with a world-class team of Data Scientists, Analysts, Researchers, and Engineers to develop the next generation of AI technology.

We are looking for an experienced Senior Data Analyst to help us shape strategy and processes by bringing data-driven recommendations.

In this role, you will collaborate cross-functionally with product, engineering, and growth teams to identify key metrics that impact our strategy and performance.
We reward talent. Our employees support each other in advancing individually and as a team. Most of all, we exceed our clients expectations while still having fun.

Responsibilities:

Strategic Thinking: Identify and tackle complex challenges, and develop strategic solutions contributing to our long-term goals.
End-to-End Project Management: Independently manage projects from concept to completion. Ensure timely delivery of high-quality results, taking full ownership of challenging efforts.
Track and Report Product KPIs: Collaborate with product teams to define, monitor, and report on KPIs for roadmap features, ensuring alignment with business goals like user engagement, retention, and revenue growth.
Data-Driven Product Insights: Analyze product performance and provide actionable insights to guide feature iterations and prioritize future roadmap decisions based on metrics such as LTV, ROAS, and customer satisfaction.
Advanced Analytics: Lead the development and application of advanced analytical techniques to validate hypotheses and optimize business performance
Leadership & Collaboration: Guide, and mentor analysts in advanced methodologies, best practices, and data storytelling, collaborating cross-functionally with management, product, engineering, and marketing to drive data-informed decisions.
Continuous Improvement: Stay current with industry trends, tools, and best practices. Proactively suggest improvements to our data processes and systems.

we are looking for a brilliant Data Analyst to join our fast-growing company and Data department.
As part of this role, you will join the Performance Analytics team, which takes a central and holistic position in the company. You will be in charge of defining and monitoring high-level company KPIs that are reported to executives and suggesting proactive actions that create meaningful business impact. You will work both independently and collaboratively on some of the most interesting and innovative analyses in the online industry.
Were looking for someone who is AI-native, tech-savvy, and curious by nature a self-learner who takes ownership, explores automation and AI tools to enhance analytical workflows, and proactively turns data into action.
This position is temporary, a replacement for maternity leave.
What am I going to do?
Serve as the data analyst focal point for all business & engineering-related teams
Define new business KPIs, unit objectives, and create supportive infrastructure for measuring them
Track and analyze business performance wisely, alerting and investigating abnormal trends
Provide actionable recommendations and conclusions based on in-depth analysis to various stakeholders
Leverage AI-driven tools and automations to streamline analysis, detect insights faster, and optimize data operations
Manage multiple tasks at a time in a fast-paced environment.

Fiverr is looking for a brilliant Data Analyst to join our fast-growing company and Data department. As part of this position, you will be working alongside various teams that are responsible for shaping our top-tier clients' and freelancers' experience. You will take a significant part in decision-making and proactively guide our business growth, based on data analysis We’re looking for someone who is AI-native, tech-savvy, and curious by nature — a self-learner who takes ownership, explores automation and AI tools to enhance analytical workflows, and proactively turns data into action. You will be required to answer complex and strategic questions defined by executive management and various business units, create insightful recommendations, and initiate deep-dive analysis for specific domains. You will need to support new initiatives and proactively guide the business growth, working independently and within a team.

What am I going to do?:

* Data analysis focal for business & product-related teams
* Proactively provide insights that will lead the business growth
* Ability to model/simulate new features & opportunities, estimated impact
* Build and maintain the team’s reporting set and dashboards
* Manage multiple tasks in a fast-paced working environment
* Conduct deep-dive analyses with actionable recommendations and conclusions

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

Were looking for an Operational Analyst to join our dynamic team and play a key role in supporting our product and services delivery.
In this role, you will collaborate closely with multiple stakeholders - including Product Managers, Customer Support, the Data Group, and more - to ensure smooth operations, data accuracy, and an exceptional experience for our customers.
Our mission is to empower security teams to safeguard their SaaS-Identity risk landscape. we discover and classifies risk across SaaS and web applications, uncovering risk-prone identities and accounts to close security gaps, prioritize access controls, and achieve continuous SaaS and identity compliance.
Key Responsibilities:
Leverage SQL and analytical tools to extract, analyze, and interpret data from live, complex databases to support customer success initiatives and resolve data-related issues.
Partner with the Annotator Team and Data Group to improve data collection and enrichment processes, including hands-on annotation and quality assurance for ongoing projects.
Serve as the technical point of contact between Field Engineers and the Delivery teams (Product and R&D), ensuring smooth and accurate communication of product functionality and data insights.
Conduct in-depth investigations to facilitate issue resolution, bridging gaps between field and development, and ensuring timely closure of open issues.
Define, optimize, and implement data processing and operational workflows.
Contribute to a culture of collaboration, learning, and continuous improvement across teams.

We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a ML & Big Data Analyst at our company look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of our companys data and algorithms.
Utilize your deep understanding of our companys data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

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

we are seeking a talented Senior BI Developer / Data Architect to join our growing Data & Analytics team.
As a Data Architect, you will play a major role in scaling our existing BI Platform, Data Warehouse (DWH), and Data Management operations.
You will be responsible for building unique ETL processes that transform raw data into valuable business insights.
The role is ideal for candidates who are adept at balancing hands-on development work and project management/system design responsibilities.
What You Will Do.:
Design, develop, and scale BI platform and Data Warehouse architecture.
Collaborate regularly with the company's management, R&D team, and analyst teams, while leveraging your creativity to develop innovative BI solutions.
Own the entire life cycle of BI system development, from designing solutions with key business users to full development of the solution, including building API and connectors, data processing (ETL), data modeling, user interface, and support for business analysis.
Design intuitive BI dashboards and reports using Qlik to support business decision-making.
Drive innovation in BI processes by leveraging AWS RedShift, Matillion, and other modern data tools.

We are seeking a highly skilled and detail-oriented Data Analyst/BI Developer to join our Trading BI Analyst team.

In this role, you will play a key part in shaping the analytical foundation that supports our trading operations.

What will you be doing?

Collaborate closely with trading stakeholders, data engineers, and fellow analysts to build, enhance, and maintain business-critical dashboards and reporting pipelines.
Maintain and troubleshoot existing reports and dashboards (e.g., Tableau, Power BI, Looker, or internal tools)
Optimize SQL queries, backend data transformations, and overall system performance to ensure scalability and efficiency.
Collaborate with trading and product teams to gather evolving business needs and translate them into accurate and actionable reporting logic.
Identify and proactively resolve data anomalies and quality issues
Transform complex data into meaningful insights that drive strategic decisions across the organization