דרושים » מחשבים ורשתות » Network Data Analyst

we are looking for a Data Analyst.
As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

We are seeking a dynamic and experienced Security Data Analyst to spearhead our cybersecurity initiatives and drive innovation within our team. In this pivotal role, you will lead the development of new security features, conduct in-depth data analysis and validation, conduct network research, develop new security concepts, and enhance our threat detection and response capabilities.
If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.
Responsibilities:
Apply data analytics techniques to investigate security-related data, extract actionable insights, and enhance threat intelligence.
Perform data analysis to uncover anomalies and detect malicious behavior within the organization's network, aiming to automate these findings into a detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.
Research various network behaviors and patterns.

We are seeking a dynamic and experienced Security Data Analyst to spearhead our cybersecurity initiatives and drive innovation within our team. In this pivotal role, you will lead the development of new security features, conduct in-depth data analysis and validation, conduct network research, develop new security concepts, and enhance our threat detection and response capabilities.
If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.
Responsibilities:
Apply data analytics techniques to investigate security-related data, extract actionable insights, and enhance threat intelligence.
Perform data analysis to uncover anomalies and detect malicious behavior within the organization's network, aiming to automate these findings into a detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.
Research various network behaviors and patterns.

We are seeking an Analytics Functionality Analyst to join our Analytics engineering group. In this role, you will serve as a crucial partner to the Product Manager, facilitating the translation of complex analytics into actionable steps for functional software delivery. This hybrid position combines robust analytical skills with a keen understanding of engineering processes, allowing the Product Manager to focus on the strategic what and why, while you ensure clarity on the operational how.
What youll do:
Feature Translation: Convert high-level analytical concepts and product features into clear, functionally defined user stories that capture algorithmic and statistical nuances for the engineering team.
Collaboration with Engineering Teams: Work closely with developers and data scientists to assess feature feasibility, identify edge cases, and establish thorough testing and validation criteria within the engineering environment.
Customer Engagement: Participate in technical discussions with customers, especially when deep modeling insights or analytics expertise are required, to gather feedback that informs engineering decisions.
Documentation Authority: Own the documentation of analytics functionality, positioning yourself as the internal authority on modeling logic and assumptions, thereby ensuring consistency and clarity across engineering projects.
Support Engineering Testing: Drive the testing and validation of implemented models and features, ensuring they function as expected from an analytics perspective and contributing to overall product quality.

We are seeking an Analytics Functionality Analyst to join our Analytics engineering group. In this role, you will serve as a crucial partner to the Product Manager, facilitating the translation of complex analytics into actionable steps for functional software delivery. This hybrid position combines robust analytical skills with a keen understanding of engineering processes, allowing the Product Manager to focus on the strategic “what” and “why,” while you ensure clarity on the operational “how.” What you’ll do: Feature Translation: Convert high-level analytical concepts and product features into clear, functionally defined user stories that capture algorithmic and statistical nuances for the engineering team. Collaboration with Engineering Teams: Work closely with developers and data scientists to assess feature feasibility, identify edge cases, and establish thorough testing and validation criteria within the engineering environment. Customer Engagement: Participate in technical discussions with customers, especially when deep modeling insights or analytics expertise are required, to gather feedback that informs engineering decisions. Documentation Authority: Own the documentation of analytics functionality, positioning yourself as the internal authority on modeling logic and assumptions, thereby ensuring consistency and clarity across engineering projects. Support Engineering Testing: Drive the testing and validation of implemented models and features, ensuring they function as expected from an analytics perspective and contributing to overall product quality.

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Were looking for Senior Product Data Analyst to join the tea Dynamic Yield and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique opportunity to influence the evolution of a leading experience-optimization platform, enabling some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.
Role
Collaborate with product managers to define, refine, and lead KPIs and success metrics aligned with product goals. Support planning, feature evaluation, and post-launch performance reviews to ensure data-driven, measurable product decisions
Analyze user behavior and product usage through quantitative methods to identify pain points, uncover trends, and measure feature adoption to inform product strategy and improvement
Develop and maintain dashboards and reports that provide product and business stakeholders with timely, actionable insights, ensuring key metrics are accessible and accurately reflect performance across product initiatives
Contribute to the development and upkeep of data models and support the maintenance of scalable, reliable ELT pipelines. Play a key role in shaping the underlying data infrastructure that drives analytics across product and business functions
Monitor KPIs and drive continuous efficiency improvements
R-265437