דרושים » מערכות מידע » Product & system 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.
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.

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.

Were looking for a Data Product Manager to lead key data products and help drive core infrastructure initiatives. This role blends product thinking, technical depth, and cross-team collaboration perfect for someone who enjoys solving complex problems and working closely with engineering, BI, and architecture teams. This is a new role, so youll have plenty of room to shape how it works and make it your own.

If you're passionate about solving real-world challenges at scale, enjoy building products in highly technical domains, and want to lead cross-functional teams in a fast-paced environment, this is your chance to make a real impact.

Responsibilities

Lead data-heavy products end-to-end from ideation and feasibility through execution, rollout, and ongoing support, individually or with other PMs.
Set the strategic direction for data as a product, defining how data is structured, governed, and delivered to maximize business impact. Ensure clarity, usability, and adoption through strong data quality practices and business-aligned standards.
Drive core data infrastructure initiatives by representing product and business needs, ensuring clear value, and partnering with architects and engineering leadership on key platform improvements.

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.

We are looking for a Salesforce Business Analyst to join the CRM (Salesforce) team, which is responsible for supporting global Nayaxs users and is in charge of global business processes.
The Salesforce Business Analyst will support global stakeholders and users and create project plans, track progress and create training materials.
You should apply if you are a team player who can drive complex projects to completion - we offer a great working environment in a successful company and development opportunities going forward.
The Salesforce Business Analyst will report to CRM Manager.
Your key responsibilities will include:
Establish working processes to ensure timely and high-quality delivery.
Design and implement solutions on the Salesforce platform.
Manage and lead projects in Nayaxs Salesforce ecosystem.
Design and implement new business requirements to improve business processes.Nayax is looking for a Salesforce Business Analyst to join the CRM (Salesforce) team, which is responsible for supporting global Nayaxs users and is in charge of global business processes.
Support users on the day-to-day tasks, including data fixes and troubleshooting.
Manage Salesforce releases, understand Whats coming (and when), present the new features to the relevant users & training.

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.

* Develop and maintain cross- system processes within Priority ERP.
* Build, extend, and optimize business logic, complex procedures, reports, triggers and workflows in Priority system.
* Provide Technical Support for existing developments and resolve system issues.
* Collaborate with systems analysts to translate requirements into technical solutions.
* Participate in system upgrades, testing, and deployment activities.
* Ensure code quality, performance, and compliance with organizational standards.
* Develop and monitor integrations between different systems using various integration tools.
* Document developed processes to support long-term maintainability.

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.

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.

Join our team as a Geo Analyst and play a key role in producing the underground utility maps that sit at the heart of our product. In this entry-level position, youll work hands-on with diverse geospatial datasets and real project outputs, developing a deep understanding of how raw information becomes accurate, high-impact mapping for our customers.



Responsibilities

Process, extract, and analyze spatial data from multiple sources, including aerial imagery, remote sensing, engineering plans, surveys, and web-based datasets.
Deliver customer projects on time and at high quality, working in a fast-paced, deadline-driven environment.
Interpret and classify underground utilities and construction activities using geospatial tools and digital imagery.Work with GIS tools (mainly QGIS) to review, validate, and edit geospatial data.
Perform quality assurance (QA) in collaboration with external and internal experts.