לוח משרות דרושים מתכנת Oracle / PL/SQL ברמת גן

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.

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

We're seeking a proactive Product Analyst to join our fast paced data group. This role requires a sharp analytical mind and a strong technical skill set to translate complex product and business problems into actionable insights
Responsibilities:
Partner with cross-functional teams including Business stakeholders, Product, Data Science, and Engineering to inform, influence, support, and execute product strategy
Design, execute, and analyze A/B tests to evaluate the impact of new features and product changes, driving iterative product improvement
Collaborate closely with the Data Science team to analyze Machine Learning models' performance and to suggest potential new features that can provide additional value
Own the data, understand its business purpose, and assure its ongoing quality by adding alerts to identify trends and anomalies
Develop and maintain comprehensive, user-friendly reports and dashboards for optimal monitoring and visibility
Present data-driven insights to stakeholders clearly and concisely, enabling informed decision making.