דרושים » תוכנה » Product Analyst

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.

In this role, youll play a pivotal part in answering the why behind user behavior, helping us understand how sales professionals discover, adopt, and extract long-term value from platform.

What Youll Actually Do:

Act as an embedded data partner for a Product squad (e.g. Growth, Core Platform, or Data Enrichment), influencing product decisions by quantifying opportunities and forecasting impact
Perform deep-dive analyses across the full user journey, from first interaction and activation to retention and power usage
Design, execute, and analyze complex A/B tests and experiments, providing clear recommendations on whether to iterate, scale, or sunset features
Partner with Product Managers to define success metrics, North Star KPIs, and measurement frameworks for new and existing product initiatives
Translate complex datasets (SQL / Python) into clear, compelling insights and narratives for stakeholders, including senior leadership
Build and maintain self-service dashboards (Tableau, Looker, or similar) that empower Product teams to answer day-to-day questions independently
Continuously improve data accessibility, quality, and trust across Product Analytics

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.

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.

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.

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.

we are looking for a Product Data Analyst.
As a Product Data Analyst, you will play a pivotal role in driving data-based decision-making and shaping product direction across the organization. You will oversee complex analytical initiatives, guide the development of KPIs and performance frameworks, and partner with product, engineering, and business leaders to influence strategic priorities.
Responsibilities:
You will lead and conduct end-to-end analytical workflows, from requirement definition, data collection, and preprocessing to insights generation and executive-level presentations. You will also spearhead the development of scalable tools, processes, and methodologies that enhance model performance and data accuracy across the company. By uncovering actionable insights and identifying opportunities for optimization, you will directly influence business growth and help scale the organizations most impactful initiatives.
This role is ideal for someone who thrives in a fast-paced environment, enjoys taking ownership of high-impact initiatives, and is ready to manage projects independently while effectively collaborating with internal stakeholders to ensure delivery of the intended outcomes.

Were looking for a sharp Product Data Analyst whos infinitely curious when it comes to leveraging data to solve product and business problems.
Youll be a part of the Analytics team and will spend your day-to-day tackling analytical questions and monitoring metrics. In order to succeed, youll need to demonstrate strong capabilities at modeling complex data, uncovering patterns, and delivering data-driven insights.
In this role youll:
Collaborate with members of the Analytics, Product, and Data teams to improve business decisions using data
Conduct A/B testing on our flow and processes in order to build state-of-the-art products
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
Extract and analyze data using different data platforms (Snowflake, Python, etc.)
Present key findings to stakeholders across the company in order to drive business and product decisions
Explore new and unmapped data domains that can push our product forward.

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.

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.
The Onboarding Manager owns the full end-to-end onboarding lifecycle for new Justt customers. This includes gathering and defining requirements, configuring Justt’s product to match each customer’s business model, leading cross-functional execution, and ensuring the customer goes live with the correct data, integrations, and configuration to achieve maximum quality, customer satisfaction in minimum onboarding time. The role requires strong project management, deep understanding of the product and the chargeback domain, and the ability to learn technical concepts quickly (PSPs, APIs, data flows). You will guide customers through PSP connection steps, explain our APIs clearly, and translate customer flows into precise system configuration that drives case quality and performance. 1. End-to-End Onboarding Ownership
* Lead the full onboarding project, both externally with the customer and internally with Product, Engineering, Data, SE, and Ops.
* Manage requirements, timelines, risks, and communication through to go-live.
* Deliver clear SOWs and onboarding documentation.
* Ensure the customer connects their PSP to Justt and provides all required data inputs. 2. Integration & Data Enablement
* Explain Justt’s APIs, data structure, and enrichment options in simple, customer-friendly language.
* Identify the exact data points needed per customer and the rationale behind them.
* Map customer data to Justt’s required fields and flag gaps early.
* Validate data completeness and correctness during and immediately after onboarding. 3. Product Configuration
* Translate business models, purchase flows, and policies into accurate product configurations.
* Optimize configuration to maximize evidence strength and recovery performance.
* Document configuration decisions and ensure internal alignment. 4. Performance & Quality Monitoring
* Monitor data accuracy and completeness during the first months post-launch.
* Track early recovery results and quickly escalate issues.
* Coordinate fixes across Product, Engineering, or customer teams when needed. 5. Chargeback Domain Expertise
* Maintain strong understanding of Justt’s chargeback strategy, evidence types, and argument logic.
* Ensure configuration and data inputs fully support high-quality cases.
* Provide structured feedback to Product regarding configuration gaps or new opportunities.