דרושים » דאטה » Senior Data Security Analyst

Senior Security Data Analyst Client Side Protection
Join our Code Defender team as a Security Data Analyst, where you'll have ownership over the product's detection framework and lead data-driven processes to enhance and refine our security capabilities. Code Defenders mission is to detect and defend against client-side JavaScript threats like Magecart attacks, while helping our customers stay compliant with evolving security and privacy standards. This role requires a proactive and analytical professional dedicated to advancing Code Defenders detection infrastructure and metrics.
What Youll Do:
Detection Framework Ownership: Own and continuously evolve Code Defenders detection framework, leveraging data-driven processes to maximize detection accuracy and efficiency.
KPIs Dashboards Development: Design, develop, and maintain KPIs and dashboards that showcase Code Defenders performance and inform product strategy.
Detection Mechanism Innovation: Research, design, and enhance detection mechanisms to stay ahead of emerging client-side threats.
Cross-Team Collaboration: Work closely with the technical research and development teams to support end-to-end product improvements and drive a unified approach to detection enhancement.

We are in search of a detail-oriented and analytical Business Analyst to join our growth team.
The successful candidate will have a minimum of 5 years of dedicated experience in data analysis, a self-learner with a strong drive to excel, and a proven track record of turning data into actionable insights.
What Youll Do:
Data Analysis and Interpretation:
Conduct comprehensive data analysis using analytics tools (Amplitude, ThoughtSpot) to identify trends, patterns, and insights.
Translate complex data sets into actionable recommendations for product improvements and strategic initiatives.
Performance Metrics and Reporting:
Develop and maintain key performance indicators (KPIs) for product performance.
Create and present regular reports and dashboards to stakeholders, providing clear and concise summaries of findings.
Data-driven Decision Making:
Collaborate with cross-functional teams to integrate data-driven decision-making into product roadmap .
Support A/B testing and other data-driven experiments to improve marketing outcomes.
Collaboration and Communication:
Work closely with product managers and other team members to understand business goals and data needs.
Communicate complex data insights in a clear and understandable manner to non-technical stakeholders.
Data Integrity and Quality:
Ensure the accuracy and reliability of data by implementing best practices for data collection, processing, and storage.
Identify and resolve data quality issues.
Reporting and Infrastructure:
Build and maintain reports, ThoughtSpot dashboards, and KPIs to monitor performance.
Develop data processes and build data infrastructure for relevant stakeholders.
Build and enhance multiple fact, dim and marts in DBT environment to be used utilized by advanced analytics tools.

We're looking for a hands-on Senior BI Analyst to drive the full business intelligence stack- from data ingestion and modeling to dashboarding and stakeholder insights. If youve led BI projects end-to-end, enjoy building scalable systems, and want to have a strategic impact, this role is for you.

This is not your typical analyst role- were looking for someone who can independently set up and scale our BI foundations while partnering closely with business, product, and engineering teams.
Youll be a one-person BI powerhouse.
About the role:
Lead the design and execution of cross-company BI initiative from concept to implementation.
Partner with GTM, product, and operations teams to define KPIs, track performance, and uncover growth opportunities.
Implement and scale BI platforms (e.g., Power BI, Tableau) and define best practices for dashboards and reporting.
Own the full data flow: from source systems to dashboards - helping ensure data quality, consistency, and accessibility.
Write optimized SQL for complex analyses, recurring reports, and data validations.
Build and maintain clean, scalable data pipelines and models in collaboration with data engineering.

The Research team at our company takes on the immense challenge of identifying and stopping malicious activity across vast streams of traffic. By crafting innovative solutions, we empower our products to make trillions of decisions every day with unparalleled precision. Our work directly impacts the safety of the internet and ensures that our company remains the best-in-class solution for our customers, standing strong against the ever-evolving tactics of attackers.
Were looking for a Senior Web Security Researcher to be part of a team of highly skilled professionals that include security researchers, data researchers, data scientists and software engineers who continuously hunt for threats, evaluate and develop new detection techniques, and share intel and attribution for cybercrime activity with the goal of protecting our customers while keeping the internet our company.
What you'll do:
Play a lot with the web-browsers, trying to find differences in behavior between them.
Research and develop signal collection on both mobile and desktop, which enables detection and improve our protection
Find ways to detect automation, for example, tools like Selenium, Playwright or Puppeteer.
Understand customer specific requirements, deliver with impact and exceed customer expectations.
Discover adversary tactics, techniques, and procedures leveraged by bots.
Create and validate data insights to enhance detection excellence.
Share security research topics through blogs, research talks, knowledge base and external engagements including conference presentations, detailing your discoveries for internal and external sharing.
Find bad stuff on the internet, see if you can figure out how it is done, document it.
Red team, experiment, and develop new tactics for various kinds of fraud and to bypass our detection, no need to wait for an attack to be discovered and used by adversaries first.
Stay abreast of cyber security trends and events related to our mission.
Contribute high impact work that substantially benefits team level metrics and OKRs.
Develop techniques, tools and scripts to simplify yours and others work.

As the Vice President of Data, you will define and drive the companys data vision, leading the strategy and execution across Data Product, Data Science, and Data Analytics. This is a critical leadership role that will
shape how we use data to generate insights, power our SaaS platform, and drive business value across the organization. Youll report to senior leadership and play a key role in shaping our product, operations, and
go-to-market teams through data.
Key Responsibilities
Define and champion a unified data vision aligned with business goals.
Serve as a strategic leader and key voice in company-wide decision-making through data.
Partner cross-functionally with Product, Engineering, Marketing, Sales, Customer Success, and Finance.
Lead three key functions: Data Product Develop analytics tools, embedded dashboards, and usage insights, Data Science Drive predictive modeling, experimentation, and AI/ML features. and Data Analytics Deliver scalable reporting and actionable intelligence across departments.
Guide team leads, define org structure, and support ongoing hiring and mentoring efforts.
Build and promote a data-driven, high-impact culture.
Foster transparency, curiosity, and continuous improvement across the team.
Lead post-mortems, quality audits, and key roadmap reviews.
Set and track key metrics: business impact, delivery velocity, system stability, and data integrity.

We are seeking a highly experienced and innovative analyst who can bring advanced analytical techniques to our team. Your expertise with large datasets and deep understanding of field operations dynamics will drive impactful insights for our growing operations. In this role, you will play a crucial role in ensuring efficiency to the core operations of our organization.

As couriers have complete freedom to choose when to go online and which tasks to approve, their behavior affects our overall levels of service and metrics. Optimizing and molding their behavior via analytical insights is an everyday, game-changing mission. For this mission, amongst other things, you will be developing and optimizing payment models, researching challenges and opportunities in our day-to-day operations, raising flags and providing analytical insights to other operations teams.

What youll be doing
Monitor and analyze core operational KPIs (courier income, task acceptance rate, delivery times, efficiency, etc.)
Conduct data analysis to derive meaningful insights and trends that go beyond surface-level observations
Implement strategies to enhance efficiency and reduce costs.
Develop processes & tools to balance between KPIs and find optimization opportunities.
Design, build, and monitor courier payment models that are fair and lucrative for couriers while aligning with business goals.
Support our geographic expansion over the country as well as our expansion into new product lines and business projects.
Collaborate with other teams locally and globally - such as product, global operations, and analytics.

The Research team at our company takes on the immense challenge of identifying and stopping malicious activity across vast streams of traffic. By crafting innovative solutions, we empower our products to make trillions of decisions every day with unparalleled precision. Our work directly impacts the safety of the internet and ensures that our company remains the best-in-class solution for our customers, standing strong against the ever-evolving tactics of attackers.
Were looking for a Senior Web Security Researcher to be part of a team of highly skilled professionals that include security researchers, data researchers, data scientists and software engineers who continuously hunt for threats, evaluate and develop new detection techniques, and share intel and attribution for cybercrime activity with the goal of protecting our customers while keeping the internet our company.
What you'll do:
Play a lot with the web-browsers, trying to find differences in behavior between them.
Research and develop signal collection on both mobile and desktop, which enables detection and improve our protection
Find ways to detect automation, for example, tools like Selenium, Playwright or Puppeteer.
Understand customer specific requirements, deliver with impact and exceed customer expectations.
Discover adversary tactics, techniques, and procedures leveraged by bots.
Create and validate data insights to enhance detection excellence.
Share security research topics through blogs, research talks, knowledge base and external engagements including conference presentations, detailing your discoveries for internal and external sharing.
Find bad stuff on the internet, see if you can figure out how it is done, document it.
Red team, experiment, and develop new tactics for various kinds of fraud and to bypass our detection, no need to wait for an attack to be discovered and used by adversaries first.
Stay abreast of cyber security trends and events related to our mission.
Contribute high impact work that substantially benefits team level metrics and OKRs.
Develop techniques, tools and scripts to simplify yours and others work.

We are expanding the Security Research team for which we are looking for highly skilled and passionate Senior Security Researchers focusing on GenAI, AI Agents / Agentic AI, and their interaction with Low-Code and No-Code platforms. The ideal candidate should have a minimum of 5 years of relevant experience and a strong background in conducting research, identifying vulnerabilities, and performing in-depth analysis of web and API security within cloud environments. This role offers a unique opportunity to contribute to the security of emerging technologies that are transforming the way people and organizations use computers.

We are looking for a highly motivated and talented Senior Business Analyst to join our Revenue Analytics team and contribute to our Go-To-Market organization's strategic decision-making process.
As a Senior Business Analyst, you will work closely with members of the Go-To-Market organization to drive impact, value, and insights using data and play a key role in our growth.
What does a Senior Business Analyst mean?
Collaborate closely with members of the Go-To-Market organization to leverage data for strategic decision-making.
Design and build dashboards to monitor business KPIs, ensuring data hygiene and integrity.
Develop models, targets, and tracking reports to measure the effectiveness of our Go-To-Market efforts.
Identify new growth opportunities and foster a data-driven culture within the Go-To-Market organization.
Communicate your findings and recommendations to stakeholders in a clear and compelling manner.
Collaborate with data engineers to integrate new data sources, enhancing our systems.

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.