דרושים » תוכנה » OCC Monitoring Analyst

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 Big Data Analyst Customer Facing (Data Labs) 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 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 looking for a Compliance Analyst to join the CISO team. Reporting to the GRC Team Leader, you will fulfill an essential role, joining the team in accomplishing important Compliance projects, ensuring that all our systems and products are safe and meet the required standard.
What will you actually be doing?
Track enterprise compliance across multiple security frameworks including security, privacy and AI frameworks (ISO, SOC, etc) and maintain up-to-date records of requirements and corresponding mitigating controls.
Continuous monitoring of internal security processes to ensure compliance, and liaise with IT and business stakeholders to confirm current security arrangements and maintain systems security process.
Assist with the education and awareness programs to promote security and privacy in the company.
Creatively overcome obstacles so that the Compliance Controls will continuously operate alongside the business activities.
Review proposed changes on an ongoing basis to determine the impact on security and privacy.

Our growing Data department is looking for a CRM and Retention Data Analyst.
We are looking for a highly motivated individual who is sharp, autodidactic, and collaborative.
You will deep dive into data, analyze patterns, identify trends, define, and develop KPIs and other measurement tools. Provide insights into the performance of our retention team.
Responsibilities:
Support of ongoing analytical needs of the CRM and Retention team
Analyze effectiveness and performance across multiple channels (Emails, SMS, Push, etc), providing actionable insight for data-led optimization
Translate business questions into data analyses and clear insights
Identify trends, opportunities, and areas for improvement, and provide data-driven recommendations
Design, analyze, and evaluate tests and experiments
Work with large and complex datasets to support strategic and operational decisions
Combine data from multiple sources to create a complete view of user behavior
Build and maintain reporting and dashboards using SQL and BI tools
Partner with cross-functional teams to ensure data is used effectively in decision-making
The position is in Ramat HaHayal, Tel Aviv.

As the Senior Knowledge Engineer, you will be the designer of a system that treats global infrastructure as a formal graph, where every node and edge is traced back to a versioned source of truth. This role is a part of the Product CTO organisation that includes a team of Technical Strategy leaders that bring outstanding ideas, the ability to execute cross functionally, and teamwork to a strategic, high future impact organisation.

The Vision:

The security industry is drowning in observed symptoms while starving for attestable truth. At CrowdStrike, we are building a high integrity infrastructure fabric - a platform that doesnt just scan for risks, but proves them through a deterministic digital twin of the enterprise.

The Challenge Youll Solve: How do you build a robust extensible framework that can connect to hundreds of different APIs, from mainstream cloud providers to niche security tools? How do you write the code that can parse and normalise their widely different schemas and data formats, and then efficiently map them into a canonical graph model? This is your build.

What You'll Do:
Build our Universal Translator Framework: You will be the primary builder of our data ingestion and semantic transformation pipelines. You will design and implement the core framework and specific connectors to parse API schemas and transform raw data into our canonical model.

Architect the Knowledge Construction Engine: You will implement the systems that turn data into knowledge. This includes building the code generators that compile our team's high level mapping configurations into low level artifacts, and developing the software for our entity resolution engine to fuse disparate data into unified conceptual entities.

Data Quality & Validation Strategy: You will contribute to a multi-backend graph architecture optimized for both real time temporal state and deep multihop path analysis.

Work Crossfunctionally: Work closely with the Principal Ontologist, Asset Platform, Risk Platform, Ingest, and Design Teams.

Lead, Mentor, and Align: Guide a diverse team of engineers, taxonomists, and subject matter experts in distilling vendor specific noise into a unified topography of risk.

Provide support to the wider CTO organization including the Falcon Fund, Privacy & Cyber Policy, Data Science and Detection Architecture teams, as well as the broader CrowdStrike organization as needed.

Work with industry analysts to provide product updates, briefings, and demonstrations.

Required Annotation Specialist
About us:
We are revolutionizing the construction industry by introducing advanced AI and Computer Vision technologies into traditional construction processes.
The platform seamlessly transforms construction operations into data-rich, digital environments, saving time and minimizing costs. Our product is already being used on active construction sites in more than ten countries, creating tremendous value for our clients and users.
We are backed by a world-class investment team comprised of VCs, construction industry leaders and well-known angel investors.
This position offers the opportunity to support cutting-edge technology work.
Responsibilities:
Responsible for analyzing and labeling data as part of our product manufacturing processes.
Responsible for ensuring the accuracy, completeness, and overall quality of the data at the customer site
provides fast, precise, and professional responses to special requests from the customer.
Take part in product improvement and work optimization.
Be at the center of the company's endeavors.
Be a crucial part of the companys product quality.
Takes a proactive part in the configuration of projects.

We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

You will be part of a research team, creating and improving our core-data algorithms. This Data Analyst role balances strategic, end-to-end data research with high-velocity, ad-hoc analysis to support crucial engineering and product decisions. You will immerse yourself in the fascinating world of maritime data, using Python, SQL, LLM frameworks, and occasionally Java to conduct analysis and ensure your insights drive strategic product development.



What will you do?

Conduct end-to-end analysis & research to create and improve our core-data algorithms.
Turn signals into actionable insights by analyzing GEOINT, SIGINT, and ADINT, and fusing them with maritime data.
Write Python code to extract and analyze data from various sources (including Postgres, MongoDB, SingleStore, and S3).
Leverage Generative AI tools for deep research, data analysis, and coding to accelerate insights.
Analyze large datasets to uncover trends, patterns, and anomalies, applying domain knowledge to interpret data and provide valuable insights for the maritime industry.
Maintain and ensure data quality and integrity, conducting thorough checks to monitor, identify, and resolve inconsistencies, and taking accountability for critical data and infrastructure.
Visualize findings, use data storytelling, and document research in technical papers and logs to understand and communicate actionable insights effectively to stakeholders.
Collaborate effectively with cross-functional teams (including domain and technical experts) to address research challenges and optimize data processes.
Join the Data Analysts technical guild to help grow data analysts professional community.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.
Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

We're currently seeking a Senior Data Researcher to join our Data Team and help proactively guide our business growth through the provision of strategic perspective, market insight, and experience with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key insights, recognize key opportunities, and drive strategic initiatives forward.
Responsibilities:
Build and maintain data pipelines and dashboards to improve data visibility and reporting in production environments
Implement AI-powered workflows for internal and external uses
Work with product, medical, and engineering teams to turn data into insights and recommendations.
Conduct exploratory analysis to identify opportunities for new features, model their impact, and drive performance improvements.
Analyze product performance, user behavior, and interactions to showcase product value.
Define, measure, and build monitoring tools for key KPIs.
Visualize insights clearly to improve understanding and decision-making.
Support roadmap planning by identifying trends, gaps, and opportunities.

The Strategy & Business Analytics team is seeking a highly analytical, business-driven Business Analyst to play a key role in driving the companys growth and profitability. This role is central to analyzing, owning, and optimizing end-to-end business processes that directly impact the companys economic performance and P&L.
The Business Analyst will lead strategic and tactical initiatives across the organization, translating complex data into actionable insights and measurable business outcomes. This role requires strong ownership, independent execution, and close collaboration with cross-functional stakeholders.
Key Responsibilities:
Own and lead end-to-end analytical projects tied to core business processes, with direct impact on revenue growth, cost efficiency, and profitability.
Analyze business performance across products, channels, and customer segments, and translate insights into clear recommendations for strategic and tactical decision-making.
Build, maintain, and continuously improve reports, dashboards, and KPIs to support business monitoring and executive decision-making.
Partner with stakeholders across Strategy, Marketing, Product, Operations, and Finance to drive execution and ensure alignment with business objectives.
Conduct deep customer analysis, including segmentation, lifetime value, profitability, behavioral trends, and cohort analysis.
Work with large, complex datasets and develop scalable analytical tools to streamline processes and improve operational efficiency.
Deliver ad-hoc analyses under tight timelines to support fast-paced business decisions.
Ideal Candidate Profile:
A proactive, hands-on business analyst who takes full ownership of initiatives from problem definition through execution and measurable impact.
Strong commercial mindset with the ability to connect data insights to P&L drivers, growth levers, and profitability optimization.
Comfortable operating independently in a fast-growing, dynamic environment, while influencing stakeholders without formal authority.
Highly analytical, detail-oriented, and driven by turning data into clear actions and results.