דרושים » דאטה » Senior Product Analyst

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.



Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve At-Bays product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.

were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbersyoull 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 strategyempowering 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.

Required Data/Product Analyst
Were looking for driven and talented people like you to join our team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
Highlights
High-growth: Over the past six years, weve consistently achieved milestones that take other companies a decade or more. During this time, weve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
Disruptive innovation: Our founders saw that traditional security didnt work for the cloud, so they set out to carve a new path. Were relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
Well-capitalized: With a valuation of $1.8 billion, we are a cybersecurity unicorn dominating the cloud security space. Were backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
About the role
As a Product & Data Analyst, you will take ownership of product analytics, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.
In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. Youll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.
Collaboration will be key: youll partner with Data Engineering and BI teams to improve data quality and modeling, while also helping Product and Engineering teams run experiments, validate hypotheses, and measure outcomes. Success in this role means product decisions are guided by clear, accurate insights and that the data foundations behind them are built to last.

We are looking for a Product Analytics Manager to serve as the analytical focal point of our product organization.
You will define what success looks likesetting clear, measurable benchmarks for both internal and external performancethen regularly track progress, diagnose root causes of issues, and recommend strategic actions. You will build our product analytics function from the ground up, defining key KPIs and constructing the supporting infrastructure.
Your analyses will guide decisions across the product organization, prioritizing initiatives that close gaps and unlock opportunities.
What you'll be doing:
Define and monitor core product KPIs (Top 4 + product-specific), set benchmarks, and build dashboards that highlight performance and flag gaps.
Diagnose issues and recommend prioritized, data-driven solutions to course-correct.
Oversee external benchmark tracking (e.g., Performance) and compare against market and industry standards.
Maintain alignment across systems by enforcing metric definitions, approving deviations, and validating new metrics.
Shape KPI-focused narratives to support product marketing efforts, highlighting measurable results aligned to strategic outcomes.
Design new attributes for cross-product analysis and craft compelling visual and verbal stories that translate analytics into stakeholder action.

Justt helps many of the world’s largest and most recognizable brands turn chargebacks from a constant headache into a managed, predictable part of doing business. Our AI-driven platform powers chargeback operations at scale, automating disputes end to end, recovering revenue that would otherwise be lost, and removing a major operational burden from finance, risk, and operations teams across multiple regions and verticals. We’re a global company with teams across markets, and disciplines, working closely with leading players in the payments ecosystem. Our culture is built on clear thinking, collaboration, and a strong sense of ownership. At Justt, you’ll partner with product, engineering, data, success and go-to-market teams to build technology that sits at the core of modern payments, and has a direct, measurable impact on the bottom line for some of the biggest companies in the world. We are looking for a self-motivated Product Data Analyst with a strong sense of ownership and a strong business orientation. As a key team member, you will analyze multiple data sources to deliver data-driven insights, optimize processes, and shape our product. You will work closely with Customer Success and Solution Engineers, as well as Product Managers, Engineers, and other cross-functional teams, to provide the analysis and reporting necessary to optimize product performance, specifically in the chargeback domain. In this role, you will balance pure data analytical tasks with content-oriented projects that require a deep understanding of the chargeback management business domain. Responsibilities:
* Provide analytical support to various functions as part of the Business Squad, which manages a book of customers.
* Collect, analyze, and interpret data to support product decisions and feature improvements.
* Develop and maintain dashboards, reports, and visualizations that highlight key metrics and performance.
* Provide actionable insights from data analysis to inform product strategy, drive product improvements, and enhance the user experience.
* Utilize strong technical skills to analyze large and complex datasets.
* Present findings and recommendations to stakeholders in a clear and compelling manner.

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.

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.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

Were currently looking for a Product Analyst to support the Marketplace & Supply product areas , focusing on Drivers app & portal experiences, Consumer services and Marketplace tools.
As a Product Analyst, you will go beyond the numbersdefining, analyzing, and translating data into actionable insights about our business, users, and product features. Youll also design and analyze both randomized and non-randomized experiments to optimize performance
Youll work closely with Product Managers, UX Designers, Developers, Analysts, and stakeholders from other business units to drive key product decisions and shape the product strategy and roadmap.
The ideal candidate is passionate about product analytics, user experience, and applied statistics, with a strong drive to make an impact by leveraging both quantitative and qualitative insights to inform business decisions.
Key Responsibilities:
Conduct quantitative research to drive product recommendations, including cohort analysis, user personas, behavioral segmentation, forecasting, and impact analysis
Design and analyse randomised and non-randomised experiments to optimise product performance and understand user behaviour
Collaborate with cross-functional stakeholders to identify business needs and execute end-to-end analytical projects.
Deliver clear, effective presentations of insights to stakeholders at all levels, using visual representations of data.
Develop and automate reports; build and refine dashboards to provide scalable insights for multiple stakeholders.
Analyze our strategic position against competitors and provide insights that drive value and support our vision.
Define key metrics, analyze usage patterns, and solve challenges that hinder progress toward objectives and key results (OKRs).Lead independent research and develop new analytics methods during dedicated weekly project time.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact.