דרושים » תוכנה » senior data analyst

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. learn more. job description
we are looking for a senior ai software engineer to join our generative ai foundation team. we build ai agents and shared infrastructure that power genai capabilities across the company, enabling product lines to adopt agentic workflows safely, reliably, and at scale.
in this role, youll be involved in the full software lifecycle - from fast-moving prototypes and pocs to production-grade, observable systems. youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
youll work hands-on with leading llms and the modern agentic ecosystem, leveraging a wide range of aws services. youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. 
job description:
we are seeking a senior software engineer with deep experience leading the design and delivery of scalable, production-grade systems. demonstrates strong technical ownership, sound architectural judgment, and the ability to drive complex features end-to-end. trusted to make high-impact decisions, mentor engineers, and raise engineering standards while consistently delivering reliable, secure, and maintainable solutions in cross-functional environments. what you need to succeed:
practice all software development life cycle in agile oriented environment.
design and implement the infrastructure of the system.
research and implement sophisticated Cyber security mechanisms.
explore new technologies and tools to keep us using cutting edge solutions.
help guide and contribute to feature design and implementation to bring the product to the next level.
participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability, and performance.

company description
 a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description
we help protect the most critical assets of the worlds leading organizations. we are a global leader in identity security, providing cutting-edge security solutions for any identity - human or machine - across business applications, hybrid cloud workloads and throughout the DevOps lifecycle.
what will you do:
we are looking for an experienced software engineer for our new generation dv(digital vault) saas product.
we are looking for a senior software engineer to join our team. you will be responsible for building core saas offering products, built on-top of aws serverless stack, using Python, cdk and other cloud technologies.
you will work with smart (but humble) team members (developers, architects, DevOps, QA ), everyone working together to produce top-notch services at the highest standards - from planning to production.

Required Senior Data Analyst, Risk & Fraud
Job Overview
As a Senior Analyst on the Trust and Safety Analytics team, you will play a critical role in identifying, analyzing, and operationalizing key data signals to help us prevent fraud, protect customers, and enforce acceptable use of products and services. You will apply strong analytical and technical skills to support and scale risk detection tools, monitoring processes, and mitigation strategies across Trust & Safety. This role partners closely with Product, Engineering, and Operations teams to deliver insights that drive data-informed decisions and measurable risk reduction.
Responsibilities:
Partner with Engineering and Product teams to support the design, implementation, and maintenance of analytics tools, dashboards, and data pipelines that enable effective fraud and risk monitoring.
Analyze large, complex datasets to identify trends, anomalies, and emerging fraud patterns, translating findings into actionable recommendations.
Contribute to the ongoing improvement of Trust & Safety platforms, including monitoring performance metrics, assessing platform health, and identifying risk gaps or degradation.
Design and maintain dashboards and reporting (e.g., Tableau) to track fraud performance, operational efficiency, and risk exposure.
Ensure data quality and reliability by performing validation, testing, and monitoring of analytics outputs; proactively identify and escalate issues.
Support incident analysis and investigations by using data to identify root causes, quantify impact, and recommend mitigation actions.
Stay current on fraud trends, AI-driven abuse, and industry best practices, incorporating new insights into analyses and detection strategies.
Clearly communicate insights to both technical and non-technical stakeholders, influencing decisions through data-backed storytelling.

Required Staff Data Analyst, Risk & Fraud
Job Overview
As a Staff Analyst on the Trust and Safety Analytics team, you will be responsible for identifying, making available, and leveraging critical data elements to optimize our ability to fight fraud, protect its customers and enforce acceptable use of products and services. Specifically, you will focus on applying your analytical skills to design, support and scale tools, processes, and strategies that proactively identify and mitigate risks across the organization.
Responsibilities:
Collaborate closely with Engineering and Product teams to design, implement, and maintain analytics frameworks, tools, and data systems that support effective data monitoring and risk management strategies, enabling informed, data-driven decision-making.
Take an active role in the analytics team's efforts to manage and enhance Trust and Safety platform capabilities. Provide timely insights and actionable recommendations to strengthen platform performance and address emerging challenges. Develop tools and systems to measure platform health and assess risks, including designing dashboards to track performance metrics, analyze trends, and identify areas that require attention or intervention.
Ensure analytics systems are consistently reliable, accurate, and available. Establish proactive monitoring processes and implement thorough testing to detect and address issues, minimizing system disruptions or delays.
Contribute to effective incident management by using analytics to identify root causes, provide actionable insights, and continuously improve platform risk mitigation solutions.
Stay abreast of the latest developments in AI, and integrate insights into your analysis to address emerging risks.

we are looking for a Senior Data Analyst to join our growing Analytics & Growth team and play a key role in tracking, analyzing, and optimizing the companys overall performance across customers.
The role focuses on defining event tracking, attributes, and properties mapping, analyzing conversion funnels, and identifying trends or issues using web analytics tools. You will work closely with R&D, Professional Services, Product managers, and the Business Intelligence team to ensure data integrity, validate tracking implementations, support new feature launches, and enable data-driven decision-making across the organization.
The ideal candidate is highly independent, curious, and proactive, with a strong drive to uncover root causes and continuously learn new tools and methods to solve complex analytical challenges
Define, implement, and maintain event tracking, attributes, and properties across web and product platforms
Gather and analyze data from multiple sources, including web analytics, internal systems, session recordings, and online browsing activities
Conduct in-depth analyses of customers conversion funnels and trends to identify optimization opportunities, as well as raise alerts and potential issues
Monitor KPIs related to conversion, engagement, and overall company performance
Guide and support our e-commerce funnel optimization with data backed insights.
Collaborate with R&D, product managers, and cross-functional teams to define tracking needs, raise alerts, and support new feature launches
Ensure web analytics data is accurately reflected in BI dashboards and reports, enabling reliable decision-making and insights
Work closely with the BI team on reporting requests, dashboards design, QA, and acceptance before release
Provide actionable, data-backed insights to support company-wide strategy and analytical projects
Take initiative to learn independently, adopt new analytical approaches, and work autonomously on complex problems.

company description
we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust us to help secure their most critical assets. to learn more about us, visit our blogs or follow us on x, linkedin or facebook. job description
the role
we are seeking a senior platform engineer to join our platform team. you will be responsible for building the technical foundation that hundreds of developers will use daily.
your goal is to make kubernetes "invisible" for our developers. you will design and implement the automated machinery-the "paved road"-that enables application teams to move from code to production securely and reliably, without managing the underlying infrastructure themselves.
responsibilities
platform engineering & automation
internal Developer platform (idp): build and maintain our Developer portal, creating a unified "single pane of glass" for service catalogs, self-service actions, and scorecards. k8s core: design, implement, and maintain production-grade kubernetes clusters with a focus on multi-tenancy, security, and high availability. gitops mastery: implement and manage automated deployment workflows using gitops principles (argocd or flux). self-service apis: create abstractions (using tools like crossplane or custom cli tools) to simplify cloud resource provisioning and integrate them directly into idp. Developer experience (devex)
workflow optimization: analyze the Developer 's "inner and outer loops" to identify friction points and automate them away via the idp. standardization: create helm charts, ci/cd templates, and "gold path" configurations that embody best practices for security and observability. technical mentorship: act as a subject matter expert for r&d teams, providing guidance on containerization, microservices architecture, and cloud-native patterns. operational excellence
observability: build comprehensive monitoring and logging stacks (prometheus, grafana, opentelemetry) and surface these metrics within idp to give developers deep insights. security & compliance: implement automated policy enforcement (opa/kyverno) and ensure all platform components adhere to identity security standards. infrastructure as code: maintain 100% of the platform via iac tools like terraform/pulumi/opentofu etc. qualifications
technical

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

looking for a senior software engineer to join our elite team which is responsible for building one of new saas products.
in this role you will be using aws serverless architecture, aws cdk & Python to design, develop, TEST, secure & deploy services from planning to production. you will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
the team works in full collaboration with security architects, product managers and other development teams.
we are looking forward for energetic and versatile person to join our family and help us achieving our goals.

We are looking for a highly technical CTF Infrastructure Engineer to join our team. This role combines the technical depth of a Cyber Range Engineer with the creative and storytelling aspects of system gamification.
In this role, you will design and implement the infrastructure behind our Capture The Flag (CTF) environments, while also taking part in architecting the CTF scenarios themselves. You will be responsible for building and orchestrating complex, cloud-based lab environments where our security validation takes place.
This is a unique position for an engineer who combines creativity with deep technical problem-solving. You wont just be provisioning servers for uptime; you will develop the logic that spins up realistic, intentionally vulnerable, and dynamic environments in the cloud to simulate real-world attack scenarios. You will utilize our internal infrastructure, automate flows with Python, and perform deep configurations on Windows and Linux systems to set the stage for cyber attacks.
As part of this role, you will also take part in creating unique stories and hands-on experiences for CTF scenarios, working closely with security researchers to translate real-world threats into engaging, reproducible challenges.
Roles and Responsibilities:
End-to-End CTF Ownership: Design and build new Capture The Flag experiences from concept to execution, including scenario design, infrastructure, automation, and validation.
CTF Environments Development: Write code (primarily in Python) to automate the creation and behavior of complex lab environments.
Cloud Architecture: Design, deploy, and manage dynamic network environments on AWS using Terraform.
Deep System Configuration: Configure Windows and Linux internals (Registry, GPO, domain settings) using PowerShell and Bash to support specific attack vectors and research scenarios.
Pipeline Management: Maintain and tweak the logic of our build environments using Jenkins (writing and managing Groovy scripts).
Work closely with Security Researchers to understand new threats and translate them into reproducible, runnable lab environments.