לוח משרות דרושים Product Analyst

Were looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.
This isnt a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.
What Youll Do
Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

Were looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.
This isnt a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.
What Youll Do:
Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

Required Product Analyst
A Product Analyst plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.
What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

We're looking for a Application Security Product Analyst to join our Product team and spread our power. In this pivotal role, you will be the primary operator of our cutting-edge AI-driven Dynamic Application Security Testing (DAST) agent. You will bridge the gap between automated AI testing and security policy, defining the "rules of engagement" for our agents and ensuring they effectively simulate sophisticated attacks while maintaining operational safety.
WHAT YOULL DO
Oversee the daily deployment, health, and operation of DAST and penetration testing capabilities to ensure optimal scanning across diverse customer environments.
Develop and maintain attack policies and rules by creating and fine-tuning the logic that defines how the system identifies, prioritizes, and exploits vulnerabilities.
Analyze and validate findings by reviewing complex attack paths to reduce false positives and improve the core logic's performance.
Research novel attack vectors and emerging web/API threats to translate new techniques into executable behaviors for the DAST engine.
Collaborate on product evolution with R&D and Product teams, using operational insights to drive feature requests and continuous improvement.

The product analytics team delivers valuable insights for data-driven decision for a mobile app that serves Millions of customers.

This application incorporates digital features related to Purchasing, Account Management, Billing and Payment and Support.

Our team oversees numerous business KPIs and employs cutting-edge tools and strategies.

We take responsibility for the entire process, from Event definition and data engineering (including some ML) to visualization tools.

Responsibilities:
Product-analysis activity for an application that serve millions of users.
Analyze and explore through large complex data sets representing key business drivers, trends and operational metrics.
Collaborate with data engineers to aggregate and clean large data sets in use.
Conceptualize, create, automate and maintain dashboards for tracking key metrics and experiments.
Proactively provide meaningful insights and actionable recommendations that drive decision, including using advanced modeling and machine learning (ML) techniques to analyze complex data and gain insights.

Key Responsibilities:
Drive a culture of data-informed decision-making to maximize product success and growth.
Act as the main analytical partner for your team and its key stakeholders.
Conduct in-depth analyses to reveal opportunities and shape the product roadmap.
Work with large and complex datasets to extract insights and translate them into practical recommendations for product improvements.
Build and manage dashboards and reports to monitor KPIs and communicate findings effectively.
Partner closely with product managers, designers, and engineers to identify opportunities for product optimization using data-backed insights.

Required Business Analyst
Job Description
See beyond numbers and take part in informing, influencing, supporting and executing our business decisions
Be the data & analytics lead in various projects and work closely with different teams across the company
Work with very large amounts of data and build tools to streamline the process
Build and maintain reports, dashboards and metrics, in addition to monitoring the integrity and validity of the data reported
Plan, conduct and interpret the results of A/B tests in order to optimize existing and implement new product features
Conduct customer analysis-churn, behavior, segmentation, trends, customer value and more.

youll be developing disruptive new ways for large enterprises to build accessible web and mobile apps that work for everyone, by developing AI-enabled tools and frameworks that find, cluster, and track accessibility problems automatically, saving developers time and reducing risk.

Ready to make your impact on different products, the roadmap, and most importantly - on billions of people worldwide who experience disabilities?

Its more than a job, it's a mission.

Your Impact:

Analyze data to uncover trends, opportunities, and actionable insights.
Build dashboards and reports to support strategic decision-making.
Collaborate with cross-functional teams to solve business challenges.
Conduct research and benchmarking to support recommendations.
Present findings clearly to technical and non-technical stakeholders.

Required BI & Product Analyst
Position Overview
Are you passionate about turning data into real-world impact? Were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbers-youll unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategy-empowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

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.