דרושים » תוכנה » Cyber Security Analyst

CRM is an end-to-end business management platform tailored for business-specific needs.
makes it easy for the entire business to work together, from marketing to sales to customer service.

was built from the ground up by developers who knew in 2011 that there had to be a better way to improve customer relations and decided to develop software for every need to keep customers delighted.

We are going global after conquering the local market with more than 2,000 satisfied Israeli customers from various industries.

Are you up for the challenges?
We are seeking a Senior Business Data Analyst to join our team. You will analyze complex data sets to uncover business trends, insights, and opportunities that drive strategic decisions. A deep understanding of business drivers and the ability to maximize profitability while meeting KPIs is essential. You will work closely with cross-functional teams to deliver actionable insights that optimize performance.

As a Business Data Analyst in you will
Analyze large data sets from multiple business domains (sales, marketing, finance, customer service, etc.) to derive actionable insights.
Develop and implement reporting systems and dashboards to monitor business performance and KPIs.
Provide strategic recommendations based on data analysis to improve business outcomes.
Collaborate with business stakeholders, including senior leadership, to understand business needs and translate them into data-driven solutions.
Lead data-driven projects, ensuring data integrity and alignment with business goals.
Utilize advanced analytical techniques, including statistical analysis, forecasting, and predictive modeling.
Mentor junior analysts and assist in their professional development.
Continuously improve data analysis processes and tools for better efficiency and accuracy.

The Product Business Intelligence team is looking for an experienced, data-driven, and highly motivated senior data analyst to join our data team that is responsible for the IronSource network. Our team's mission is growing the network through data driven insights and decision making. In team we partner with leadership, product managers, engineers, revenue teams, and other stakeholders, to uncover opportunities, deliver actionable insights, and provide recommendations that drive business outcomes and address IronSource's data and analytical needs.

What you'll be doing:
Partner with leadership and Product to develop long term strategy and leverage data-driven insights to provide recommendations, breaking down strategic opportunities into actionable, clear roadmaps.
Define, instrument, and monitor key product and network KPIs to track progress, evaluate product performance, and assess overall health.
Identify and promote opportunities for impact across different product areas while analyze large datasets from multiple products to deliver insights that will guide product development.
Identify, evaluate, and support the execution of key business opportunities with data-backed insights, ensuring measurable outcomes
Own, maintain, and develop the reporting data pipeline for specific products and custom dashboards.
Work with various relational and non-relational databases, including Presto, BigQuery, Redshift, MySQL, and more.

We are looking for an experienced and highly skilled Senior Data Analyst to join our team . The ideal candidate will have a strong analytical mindset, extensive experience in data analysis, and the ability to translate complex data into actionable insights. This role involves working closely with cross-functional teams to support strategic decision-making, improve business processes, and drive growth, with a focus on enhancing developer productivity and engineering metrics.

Join our team and make an impact through data-driven insights and take our reporting and research projects to the next level, creating new value
What You'll Do

Analyze large, complex datasets to identify trends, patterns, and opportunities.
Conduct in-depth research on industry trends and best practices to inform data strategies.
Develop, maintain, and deliver comprehensive reports to internal stakeholders and customers using data analysis and a variety of tools, including dashboards and visualizations, tailored to engineering performance metrics.
Generate actionable insights and identify opportunities for value creation across departments.
Offer data-driven recommendations to enhance engineering efficiency and improve team outcomes.
Act as a liaison between technical teams and business units to communicate findings effectively.
Stay updated on industry trends, tools, and technologies.

This is a unique opportunity to join an exciting early-stage startup experiencing hypergrowth in a white-hot segment of the cybersecurity space.
a fast-growing cybersecurity startup and the creator of the first comprehensive software supply chain security solution. As software supply chain attacks rise sharply, platform delivers complete visibility, security, and integrity across all stages of the software development lifecycle (SDLC), helping companies protect against high-profile threats.

Founded in 2019, backed by YL Ventures and Insight Partners and has received significant industry recognition, including Cyber Defense Magazine's Top Infosec Innovator (2023) and multiple other awards in recent years.

As a Data Engineer , you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization. This is a "one man show" position, meaning you will work independently to manage all aspects of data engineering, from data collection to analysis. This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.

Responsibilities
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are looking for a Risk Analyst to help us build, design, and manage risk analytics & reporting for our existing portfolio of merchants across all operating countries. Youll be responsible for developing, publishing, and fine-tuning the analytics and reporting requirements for our Global business for the Risk team.
The role requires strong Data Analytics, Business Intelligence, and Visualization skills and the ability to explain complex situations and concepts through data-driven storytelling.
This role also has scope for building risk models for our existing portfolio of merchants to mitigate the existing financial risk. Modelers will be taking the responsibility of defining the problem statement, building the solution, and offering an optimal strategic approach to implement the solution within the existing ecosystem and showcase value addition.
The role will require coordination with teams within Risk and across and managing senior stakeholders within the Risk function. You will need to work with Risk team members to understand their analytics and reporting requirements and build the same. You will be a key member of the team working in a fast-paced environment on impactful assignments with the exposure to work directly with senior management across the company.
Key Responsibilities:
Own (Build and maintain) the Risk reporting area for the Global Risk team and publish reports aligning with the requirement timeline
Perform analysis throughout the entire customer lifecycle, including acquisition, portfolio management, and collections providing actionable MI on all aspects of portfolio performance
Provide support to the business by addressing inquiries and offering ad hoc insights into portfolio and strategies.
Develop and maintain the Risk models used to manage customer credit and fraud risk including exposure and default methodologies and associated behavioral measures.
Design, Development, and maintenance of analytical solutions related to risk.
Providing the business and other stakeholders with advice and support on model use, model impact, and model implementation
Supporting external engagement and internal governance in relation to risk models and model frameworks
Requirements
Were looking for someone with moderate experience (Minimum 2-3 years) of working in a financial services / bank or fintech company with exposure to solving risk-related problems equipped with analytical and relevant skill sets.

We are looking for an Algo/ML Product Analyst to join our R&D center in TLV. The position is to be part of our Algo-Routing product team, responsible for our research on a wide variety of topics, providing data insights, helping drive optimization of the product and user experience. As an Algo Product Analyst youll be working closely with data scientists, algorithm developers, product managers, business teams and more.

All of our Product Analysts are all highly autonomous, highly valued members of the product team - leaders in their field, and product experts. They are curious and independent team members, passionate about tackling complex problems in a world of rich data and real-life user needs.

What You'll Do:
Take an integral part in developing our next generation of Algorithms to solve transit problems across the world.
Analyze product algorithmic behavior and product performance data, develop measures to ensure product health and data-driven decisions
Become the focal point for all data-related matters in your team / field
Work independently and with team-members to discover product insights, collaborate with product-managers to drive data-driven product priorities
Take full data ownership for existing and new features: define data points, extract data from multiple sources, conduct ad-hoc / periodic analytics, make complaining arguments
Create, support, monitor and maintain reports / dashboards for various roles
Initiate, own and manage multiple data projects simultaneously
Work closely with PMs, algorithm developers, business teams, data scientists and more.

We are looking for a highly analytical and detail-oriented Data Analyst to help us extract meaningful insights, refine our models, and improve customer experiences through data-driven decision-making.
Our Analytical Models team, part of the Product department, is at the core of our innovation. We design, refine, and enhance the analytical models that drive the intelligence behind our products. We work closely with product managers, data scientists and R&D teams to ensure our models are accurate, scalable, and aligned with business objectives.
Responsibilities
Analyze large-scale financial datasets to uncover trends, insights, and opportunities for model optimization.
Work closely with product managers and R&D to enhance the structure and logic of analytical models.
Monitor model quality by tracking accuracy, coverage, and overall performance, implementing improvements as needed.
Build dashboards and reports to visualize insights and present findings to both technical and non-technical stakeholders.
Collaborate in a dynamic, fast-paced environment, contributing innovative ideas to improve data-driven personalization.

As a Customer Success Business Analyst, you will serve as a bridge between business stakeholders and technology teams, helping to translate business needs into technical solutions and play a key role in helping leadership to make data-driven decisions. You will analyze processes, deep dive into our entire customer success domain (Upsells, Downsells, Uplift, Downlift and Churn), gather requirements, and contribute to the development of strategies and solutions that improve operational efficiency and drive business growth.
What will you do?
Collaborate with business stakeholders to understand their objectives and requirements.
Develop and maintain dashboards to monitor CS KPIs and performance (individual/department level).
Prepare executive summaries and presentations to communicate findings and recommendations to CS management
Assist in analyzing productivity, looking at measures like attainment, NDR, GDR, renewal rate and many more to help our CS team reach their goals
Analyze data to identify trends, patterns, and insights that can inform decision-making.
Create detailed documentation of business requirements, processes, and workflows.
Communicate insights effectively to stakeholders using data visualization tools.
Provide regular updates on project status and issue resolution.
Maintain effective communication with business stakeholders and project teams.
Collaborate with cross-functional teams to identify and implement process improvements.

We are looking for a sharp and passionate Data Analyst to join our top-notch data analytics team. In this role, you will collaborate closely with various departments, providing invaluable support in analyzing data, uncovering insights, and helping to drive data-informed decision-making across the organization. You will work with the latest technologies and the best tools available in the data world.
Responsibilities:
Proactively provide insights that will drive business growth.
Design, develop and manage business intelligence, statistical, and other advanced analyses projects end to end.
Own and manage multiple data initiatives and projects both on an ongoing and an ad-hoc basis while using new approaches of data analytics.
Design, develop, and support dashboards, information systems databases, and reporting tools for operational and business needs. Design and enforce access control for all data across the different systems.
Review and analyze existing functionality for areas of improvement.

Were Looking for a Product Analyst Join Our Data Driven Journey!

As a data-driven organization, insights from our Data Team are essential to shape our strategy and improve the experiences of our customers. Were looking for a highly motivated data analyst to join our team and work in a dynamic Big Data environment.

You are detail-oriented, analytical, and passionate about understanding user behavior. In this role, youll turn data into actionable insights, influence product decisions, and help drive the success of our platform.

Key Responsibilities:
Analyze user behavior: Monitor and evaluate website activity patterns and user flows to enhance usability and customer experience.
AB Testing: Conduct in-depth analysis of AB tests to provide stakeholders with actionable, data-driven recommendations for product and user value enhancements.
Metric Monitoring & Insights: Track product performance metrics, identify trends, and raise alerts on significant changes. Perform periodic and ad-hoc analyses to recommend impactful solutions.
Visualization & Reporting: Create and maintain dashboards, reports, and daily summaries that present key SaaS metrics and actionable insights.
Collaborate Cross-Functionally: Work closely with teams across Product, Marketing, Customer Success, Finance, and Management to support data-driven decision-making.

Nice to know:
Our amazing offices are based in Rothschild, Tel Aviv.
Our hybrid work model entails working four times in the office and one time from home.