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We are seeking an experienced, solution-focused professional to join our Business Analyst team in Tel Aviv.
As an Inbound Business Analyst in the Professional Services (PS) team, you will serve as the primary liaison between clients, internal stakeholders, and the product/implementation teams.
Your role is to understand the clients requirements, the products models and specification and ensure smooth delivery of solutions.
This position combines analytical skills, financial services domain knowledge, and communication abilities to drive successful client engagements.
Responsibilities:
Conduct business analysis to support the deployment and optimization of solutions across client environments and impact assessment of identified issues.
Perform statistical analysis and fine-tune model sets to ensure optimal performance and accuracy.
Support the implementation team throughout User Acceptance Testing (UAT), ensuring requirements are met and functionality is validated.
Collaborate closely with both business and technology stakeholders to align solutions with client goals and technical feasibility.
Research, analyze, and structure large data sets, addressing both technical and business perspectives

Join us and help shape the strategic direction of economies for some of the largest social casino and casual titles in the world. As a Senior Game Economy Specialist, you will take ownership of complex economic systems, collaborate with cross-functional teams, and directly influence player experience and revenue across our games.
How will you make an impact with us?
Architecting, optimizing and balancing complex multi-layered economic systems across live and new games.
Leading deep-dive analyses into player behavior, progression, monetization patterns, and the health of game economies.
Create and manage in-game economic systems, including item pricing, progression curves and reward structures
Identifying opportunities to maximize player engagement, satisfaction, and LTV through data-driven recommendations.
Partnering closely with Product, LiveOps, Design, Analytics and Monetization teams to align strategy and execution.
Mentoring junior specialists, reviewing their models, and raising the overall analytical and economic quality within the team.
Owning pricing strategy for in-game goods and currencies and ensuring a healthy balance between free and paid progression.

looking for a motivated, ambitious, and independent Game Economy Manager to be our mathematical product expert for the hybrid-casual games, with an entrepreneurial spirit and passion. To succeed in this role, you have to breathe the gaming market, and support our internal and external partners in crafting and shaping our games with innovative decisions based on your knowledge, expertise and data
What you'll be doing
Design, monitor, balance and lead the economy model and user experience from an economy point of view to drive players' engagement and improvements in game KPIs such as retention and ARPDAU
Build and analyze pricing funnels to increase IAP share of wallet
Identify areas where sinks/sources should be tightened or loosened to improve engagement, retention and revenue
Conducting AB tests of different economy strategies that can help improve our games LTV
Price the games virtual currencies and Recommend rewards and monetization game features to build an economic system to fulfill player needs
Collaborate with our Data/BI teams in crafting economy reports, user segmentations and dashboards to allow all partners to be aware of the current status in our games economy and the valuable KPIs around this activity
Collaborate with cross-functional teams such as product, developers, data, monetization on designing new and existing features to improve player satisfaction and provide additional monetization opportunities

Required Fraud Analyst
Israel - Tel Aviv
About the role:
As a Fraud Analyst, you will be responsible for one of the most critical assets in the company: maintaining the accuracy, reliability, and performance of what is widely considered the leading e-commerce fraud decisioning system in the industry.
You will be expected to think analytically and creatively, constantly improving how we identify fraud and protect legitimate customers. Your work will focus on solving real and evolving business challenges faced by some of the worlds largest and most advanced online retailers. In this role, you will also have direct exposure to key customers, providing analytical insights and helping tailor solutions to their specific needs.
This position has strong technical and analytical depth, but prior coding experience is not required. We believe great analysts can learn the technical tools they need as part of the role through structured training and hands-on work. We hire across multiple levels and adjust the scope and level of ownership based on what we learn during the interview process.
You will join a dynamic, high bar department with a strong culture of excellence, curiosity, and ownership. We work in an informal and collaborative environment where people learn fast and ideas matter. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial roles, allowing you to shape your career based on your strengths.
Your work will directly impact our product, protect millions of customers, and help shape the future of trust in digital commerce.
What you'll be doing:
Design, implement, and continuously improve decisioning logic running in live production systems
Research complex fraud patterns, adversarial behaviors, and emerging threats
Analyze large scale datasets to extract actionable insights and improve decision accuracy
Develop and automate analytical processes to increase efficiency and scalability
Work closely with Data Science, Engineering, and other cross functional teams to drive platform improvements

Were looking for a Business Analyst - HR / People Analytics to join our fast-growing Business Analytics team and focus on building scalable people and workforce analytics capabilities across the company.
This role partners closely with People (HR), FP&A, and Data teams to deliver insights on workforce trends, hiring effectiveness, headcount planning, and people-related financial impact. The role complements existing HR analytics capabilities by focusing on cross-functional, strategic, and company-level analytics, in addition to operational HR reporting.
Youll combine strong analytical skills, understanding of people data, and business storytelling to help leadership make informed decisions about workforce planning, organizational health, and cost management.
Responsibilities
Talent & Recruitment Analytics
Analyze recruitment funnel metrics including time-to-hire, time-to-fill, conversion rates, and hiring velocity.
Support hiring plan tracking and capacity analysis in collaboration with HR and Finance.
Work closely with the HR Ops supporting Greenhouse to align data definitions and reporting logic.
Identify bottlenecks and improvement opportunities in the hiring process through data-driven analysis.
People & Workforce Analytics
Analyze workforce trends including headcount evolution, attrition, retention, internal mobility, and tenure.
Build reporting and insights around employee lifecycle metrics and organizational structure.
Partner with HR to improve data quality, definitions, and consistency across people systems.
Deliver actionable insights to People leadership and senior management on workforce health and risks.
Headcount, Cost & Financial Impact Analysis
Partner with Finance and FP&A to support headcount planning, forecasting, and scenario analysis.
Analyze the financial impact of hiring plans, attrition, and organizational changes on operating expenses.
Support workforce cost modeling, including payroll and people-related expenses.
Help align people plans with budget targets and company-level financial objectives.
Data & Analytics Operations
Use SQL and Snowflake to extract, structure, and analyze people-related data.
Build end-to-end dashboards and reports using Tableau (preferred), from data modeling to visualization.
Collaborate with Data /BI team to improve data pipelines, governance, and reporting infrastructure.
Leverage automation and AI-driven tools where applicable to improve reporting efficiency and scalability.
Cross-Functional Collaboration & Communication
Act as a trusted analytics partner to HR, Finance, and leadership stakeholders.
Translate complex data into clear insights and business stories for executive audiences.
Prepare presentations and analysis for leadership reviews, planning cycles, and strategic discussions.
Contribute to the continuous improvement of people analytics frameworks and reporting standards across the company.