דרושים » מוצר » Product Analyst

Were looking for a curious and analytical Product Analyst to join our Product Analytics team. In this role, youll work closely with Product Managers, Growth teams, and engineers to analyze product performance, uncover insights, and support data-driven product and business decisions across our mobile app portfolio.
Key Responsibilities:
Analyze product performance across user funnels, engagement, retention, and monetization in our mobile apps.
Partner with Product Managers to define success metrics and evaluate the impact of new product features.
Design, analyze, and interpret A/B tests to measure product improvements and optimizations.
Translate product questions into structured analyses and clear, actionable insights.
Define and maintain product analytics events and tracking specifications in collaboration with Product and Engineering teams.
Ensure accurate instrumentation and reliable tracking of user behavior across the apps.
Build and maintain dashboards and reports using Tableau and Looker.
Use SQL to explore large datasets and identify patterns, opportunities, and performance drivers.
Ensure product metrics are clearly defined and consistently used across dashboards and reporting tools.
Present insights and recommendations to product teams and other stakeholders.

our company is seeking a Business Product Analyst - a business-minded analyst who will work hand in hand with our Product Managers and Scrum teams as a true Business Partner. This is not a reporting or dashboard role. Your mission is to help the product teams deeply understand how our features are used by our customers, what value they create, and how they can make money. You will turn product and business data into clear, actionable insights and recommendations that shape what the company builds, how it is measured, and how it is monetized. In a world where AI can surface data, this role exists to answer the harder business questions: Who uses this feature and why? Is it creating value? And how can it make money?
Key Responsibilities & Focus Areas
* Drive Strategic Direction, Not Just Feature Metrics: You won't just analyze isolated features-you will connect product performance directly to company-wide strategy. By uncovering the true business impact of what we build, your insights will shape executive decisions, guide product roadmaps, and directly influence our long-term trajectory and growth
* Shape Product & Strategic Direction: Go beyond isolated feature tracking to connect product performance directly to company strategy, ensuring every development choice informs the broader roadmap and long-term business trajectory.
* Act as a Strategic Product Partner: Embed yourself in the daily rhythms of Product and Scrum teams, bringing a high-level business and data perspective to shape feature concepts into core strategic drivers.
* Evaluate Holistic Value & Ecosystem Impact: Analyze usage patterns and user journeys to understand how features contribute to overall platform engagement, long-term retention, and compounding business value
* Scale Monetization & Business Models: Translate product behavior into comprehensive revenue strategies, connecting feature engagement directly to pricing structures, monetization opportunities, and company-wide growth.
* Challenge Assumptions & Drive Core Focus: Use rigorous data insights to question legacy beliefs, helping leadership and product teams prioritize high-impact initiatives and define where to double down or pivot.
Advantages:
*  Experience with monetization or pricing analysis.

Were seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role youll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.

This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What Youll Do:
Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to customers and management in a clear and concise manner.
Present key findings of your analysis to customers around the globe.

We are looking for a Senior Product Manager to join us and help build the next generation of our UGC (User-Generated Content) platform, powered by AI.
This role focuses on creating AI-driven capabilities on top of our core products - enabling brands to better collect, understand, and activate customer content such as reviews, ratings, and visual UGC.
You will work in a strong product trio with design and engineering to discover, validate, and deliver solutions that create real value for customers and drive measurable business impact.
This is a unique opportunity to shape how AI transforms customer content into actionable insights and growth engines for e-commerce brands.
What youll do:
Partner closely with engineering and product design in a product trio to discover and deliver impactful solutions
Lead continuous discovery with customers, prospects, and internal stakeholders
Define problems worth solving at the intersection of UGC, AI, and e-commerce
Translate customer and business needs into clear product direction and priorities
Drive fast iteration cycles from discovery to delivery and learning
Use qualitative and quantitative insights to inform decisions and measure outcomes
Work closely with GTM, sales, and customer success to ensure strong product adoption and feedback loops
Become a domain expert in UGC, customer behavior, and AI-driven product capabilities.

Join the Cortex Product Analytics team and help shape product strategy through data and AI. As a Principal Product Analyst, you will transform product usage, customer behavior, and business insights into recommendations that influence roadmap decisions, improve customer outcomes, and drive product adoption.
Working closely with Product, Engineering, Design, GTM, and Customer Success, you will define trusted product metrics, leverage AI to accelerate analysis and uncover insights, and enable data-informed decision-making across the Cortex portfolio.
Your Impact
Partner with cross-functional teams to define product success metrics and answer strategic business questions.
Analyze product usage and customer behavior using data and AI to identify opportunities to improve adoption, engagement, and customer outcomes.
Translate complex datasets into actionable insights that influence product strategy and roadmap decisions.
Define and maintain trusted product KPIs, executive dashboards, and scalable measurement frameworks.
Partner with Engineering and Product Management to ensure high-quality product instrumentation and analytics.
Leverage AI-powered analytics and automation to improve insight generation, reporting efficiency, and decision-making.
Champion analytics and AI best practices to foster a culture of data-informed product development.

Required Principal Product Analyst (Cortex)
Your Career
Join the Cortex Product Analytics team and help shape product strategy through data and AI. As a Principal Product Analyst, you will transform product usage, customer behavior, and business insights into recommendations that influence roadmap decisions, improve customer outcomes, and drive product adoption.
Working closely with Product, Engineering, Design, GTM, and Customer Success, you will define trusted product metrics, leverage AI to accelerate analysis and uncover insights, and enable data-informed decision-making across the Cortex portfolio.
Your Impact:
Partner with cross-functional teams to define product success metrics and answer strategic business questions.
Analyze product usage and customer behavior using data and AI to identify opportunities to improve adoption, engagement, and customer outcomes.
Translate complex datasets into actionable insights that influence product strategy and roadmap decisions.
Define and maintain trusted product KPIs, executive dashboards, and scalable measurement frameworks.
Partner with Engineering and Product Management to ensure high-quality product instrumentation and analytics.
Leverage AI-powered analytics and automation to improve insight generation, reporting efficiency, and decision-making.
Champion analytics and AI best practices to foster a culture of data-informed product development.

You and your team will work primarily with dbt, BigQuery, Looker, and GitHub, while using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to automate workflows and scale how the team works.

Success in this role requires strong leadership, technical depth, business understanding, and the ability to turn complex data into clear, actionable recommendations.

Key Responsibilities
Lead, manage, and develop a team of Data Analysts, including setting goals, providing feedback, and supporting their professional growth.
Own the teams priorities and analytical roadmap, ensuring the team focuses on the highest-impact business needs.
Define and drive technical and analytical standards across data modeling, SQL, dbt, testing, code reviews, and BI.
Partner with stakeholders and senior leadership to understand business needs, define KPIs, and translate data into actionable recommendations.
Lead high-impact analyses and guide the development of reliable, scalable data models and Looker dashboards.
Ensure data quality and lead investigations into anomalies, tracking issues, and inconsistent metrics.
Drive AI-native ways of working by turning repeatable analyses and processes into reusable, automated workflows.
Stay hands-on with data, code, and analysis when tackling complex or high-impact problems.

Were hiring a Senior AI Analyst to join our Research team and help shape our AI-driven cybersecurity platform. In this role, youll dig deep into how our AI agents perform, uncover whats working and where the opportunities are, and turn that analysis into insights that shape the roadmap, strengthen the product, and drive customer value and growth.

In your first year, we expect you to set a clear quality bar for our search products that the team builds against, have a real influence on where our index goes next, and bring us a point of view on where search infrastructure is heading.

This is a hands-on senior IC role with real ownership, reporting to the Director of Product. You will work day to day with our search engineering and research teams, with the evaluation team, and with customer success, who bring us quality feedback from real accounts every week. Our search engineers are deeply experienced in large-scale retrieval, and the product team is small, so you will argue your case directly with the people building it. That only works if you have built at this scale yourself.

Your responsibilities will include:

Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships. Our evaluation team owns the measurement, and you work closely with them on what to measure and why.
Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible.
Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet.
Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap.
Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter.
Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities.
Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry.

We are looking for an experienced and insightful Senior Product Analyst with a specific focus on Platform Analytics to join our Product Analytics team. In this role, you will play a key part in shaping the user experience of our platform by analyzing and interpreting usage data, monitoring feature adoption, and supporting new feature launches with data-driven insights. This is an ideal position for someone with a passion for understanding user behavior and platform dynamics, alongside experience in tracking and optimizing key metrics that influence platform success and user satisfaction.
The Platform Analytics role requires a blend of analytical, technical, and collaborative skills, working alongside a cross-functional team of Product Managers, Customer Success Managers, Operations teams, Data Engineers, SW Developers, UI/UX Designers, and AI experts. Your insights will directly influence feature development and enhance the platform's usability, performance, and scalability.
Responsibilities:
As a Senior Product Analyst specializing in Platform Analytics, you will be instrumental in advancing our platform's data-driven approach by focusing on:
Analyzing platform usage patterns and deriving actionable insights to optimize user engagement and satisfaction
Supporting the development of new features by monitoring early adoption, user interactions, and performance
Partnering with Product Managers to establish and track key feature KPIs, assessing impact, and recommending enhancements
Developing dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders
Collaborating with Customer Success and Product teams to understand and address user pain points, drive improvements and reduce churn
Continuously enhancing our analytics processes and data platforms to support agile and accurate insights for platform optimization