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11/01/2026
משרה זו סומנה ע"י המעסיק כלא אקטואלית יותר
מיקום המשרה: תל אביב יפו
סוג משרה: משרה מלאה
משרות דומות שיכולות לעניין אותך
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6 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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
Requirements:
Passion for games
2+ years of experience in Game Economy - a must
Bachelors Degree in Economics, Mathematics, Statistics, Engineering, or a similar quantitative field
Great analytical skills, ability to spot patterns and trends
An Excel Expert
Critical Thinking and Creative Problem Solving
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Game Economy Manager
Description
We are the next generation of multiplayer gaming uniting people around the gaming world in the most realistic way, face to face.
You will be an essential part of the thinking and decision-making process behind our new product.
As our Senior Game Economy Manager youll design and manage the in-game economy, track player experiences, and leverage behavioral insights, mathematical models, simulations, and data analysis to optimize KPIs and maximize player fun.
(We work from our office in Tel-Aviv- not hybrid)
Responsibilities
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
Partnering closely with Product, LiveOps, Design, Analytics and Monetization to align strategy and execution.
Model and balance complex systems in the game to maintain a healthy and growing in-game economy
Control the pricing in the game - both for in-game currencies and real money
Recommend and design reward systems and monetization features that fulfill player needs while meeting business goals.
Perform data analysis and AB testing in order to always improve the game performance
Monitor important in-game economic KPIs and maintain a balanced economy.
Requirements:
3+ years of experience in game economy
Bachelors Degree in Economics/Mathematics/Engineering or another quantitative field T
Excellent Excel skills - MUST
SQL knowledge - MUSTE
Excellent collaboration and communication skills across multidisciplinary teams.
Experience in real-money gaming or sweepstakes - advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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18/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are the next generation of multiplayer gaming uniting people around the gaming world in the most realistic way, face to face. At our company, you will be an essential part of the thinking and decision-making process behind our new product. As our Senior Game Economy Manager youll design and manage the in-game economy, track player experiences, and leverage behavioral insights, mathematical models, simulations, and data analysis to optimize KPIs and maximize player fun. (We work from our office in Tel-Aviv- not hybrid)


Responsibilities:


* 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
* Partnering closely with Product, LiveOps, Design, Analytics and Monetization to align strategy and execution.
* Model and balance complex systems in the game to maintain a healthy and growing in-game economy
* Control the pricing in the game - both for in-game currencies and real money
* Recommend and design reward systems and monetization features that fulfill player needs while meeting business goals.
* Perform data analysis and AB testing in order to always improve the game performance
* Monitor important in-game economic KPIs and maintain a balanced economy
#LI-Onsite
Requirements:
* 3+ years of experience in game economy
* Bachelors Degree in Economics/Mathematics/Engineering or another quantitative field T
* Excellent Excel skills - MUST
* SQL knowledge - MUSTE
* Excellent collaboration and communication skills across multidisciplinary teams.
* Experience in real-money gaming or sweepstakes - advantage
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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01/03/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a data-driven SEM specialist with strong analytical skills and hands-on experience to lead and optimize our activities across multiple channels and markets.
The role includes managing Search campaigns, analyzing performance data, and handling large-scale budgets in competitive environments. We're seeking a strategic thinker and proactive leader, someone who drives innovation, takes ownership of high-impact projects, and constantly looks for smarter, more effective ways to grow performance.
Responsibilities:
Plan, manage, and scale global PPC campaigns on Google Ads and Bing Ads, overseeing large budgets in competitive markets.
Monitor performance against business goals, report results, and continuously test new strategies, creatives, and growth solutions.
Track and analyze KPIs to generate actionable insights and optimize campaigns to improve performance and ROI.
Use strong analytical and business judgment to identify gaps, opportunities, and solve business problems.
Leverage BI tools to analyze business flows and collaborate closely with cross-functional teams.
Drive innovation through new ideas, opportunity discovery, and auditing business practices.
Requirements:
Bachelors degree in Business, Economics, Industrial Engineering, Statistics, Mathematics, or a related technical discipline.
Expert-level Excel - must.
Exceptional academic or equivalent excellence - must.
Exceptional analytical skills with the ability to derive actionable insights from data and make clear, data-driven recommendations.
Strong ability to translate complex data and concepts into clear, actionable recommendations.
A strong team player with experience working effectively with cross-functional teams.
Demonstrated ability to thrive and make sound decisions in a fast-paced environment.
Proactive, initiative-taking, solution-oriented mindset with strong problem-solving skills.
Strong time-management abilities.
Advantages:
1-2years of hands-on experience in paid search acquisition (SEM/PPC), demonstrating a track record of success.
Deep practical expertise in managing Google Ads and Bing Ads campaigns.
Proven ability to manage high-budget, global PPC campaigns using current best practices.
Proven analytical and business experience, preferably within a web-based / online industry.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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01/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The Data & Research department oversees all of our data-related requirements. Our ultimate goal is to enable and increase the use of data across the company through creative approaches and the implementation of powerful resources such as analytical databases, advanced data pipelines, BI tools, and data science technology.

We hire the brightest minds to take on this challenge and equip them with the tools and knowledge that contribute to their personal growth and success while supporting our companys culture of diversity, experimentation, and curiosity. The Product Analytics team is a key enabler of informed decision-making across product, engineering, underwriting, risk, operations, and other areas.

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 our 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 our 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.
דרישות:
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Master's degree preferred.
6+ years of experience in product or business analytics, with at least 1-2 years in a formal team lead or managerial role.
Proven track record of leading analytics projects end-to-end and partnering with product & engineering teams in a tech-driven organization.
Strong command of SQL - able to guide and review complex queries and pipelines.
Experience with experimentation platforms and product tracking tools (Mixpanel, Full-Story, etc.).
Proficiency in data visualization tools (e.g., Tableau, Looker).
Solid understanding of A/B testing methodologies and statistical significance.
Excellent communication, presentation, and interpersonal skills, able to present insights clearly to both technical and non-technical audiences.
Analytical and adaptable; thrives in a fast-paced, evolving startup environment.
Fluent English speaker - strong written and verbal communication required.
Cyber knowledge (advantage).
Experience with programming languages such as Python for data analysis. המשרה מיועדת לנשים ולגברים כאחד.
 
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11/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities
Requirements:
B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
Strong understanding and practical experience with various machine learning algorithms.
Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
Proficiency in data visualization libraries, to create meaningful visual representations of complex data
Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Advantages:
Experience in the fraud domain
Experience with Airflow, CircleCI, PySpark, Docker and K8S
This position is open to all candidates.
 
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23/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are one of the world's fastest-growing mobile game companies, providing entertainment to millions of active users across the universe. The company is headquartered in the heart of Tel Aviv.
As we expand, we're​ ​looking for​ ​a​ ​Mobile User Acquisition Manager to join our amazing Marketing team.
Responsibilities
Acquire new and high-quality players for the games in an efficient and profitable manner.
Adjust campaign bids, targets, and audience settings based on performance data to maximize efficiency and improve player quality.
Manage campaigns by optimizing and maximizing ROI across large-scale media platforms such as Facebook, Twitter, Instagram, and various Video Networks.
Make recommendations on campaign enhancements including retargeting, bid automation, etc
Improve performance by conducting A/B testing with new creatives and tools.
Monitor campaign metrics and identify key trends and anomalies to ensure budgets are spent effectively while maximizing performance.
Identify and implement new customer acquisition channels while influencing strategies for key digital marketing initiatives.
Requirements:
BSc in Industrial Engineering, Economics, Business, Law (LL.B) or similar fields
Exceptional analytical and quantitative skills, Strong Excel skills
Able to multitask and prioritize among many competing needs in a fast-paced, fluid environment, and ensure delivery dates are met
Fluent Verbal and Written English Skills required
Advantage:
Previous experience in a data driven environment
Passion for mobile and casual gaming
Understanding of mobile attribution.
This position is open to all candidates.
 
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05/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents.
By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability.
As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate.
About The Role
Were looking for an experienced Sales Analyst to partner closely with Sales Operations and act as a proactive analytical force across our GTM organization.
This role combines deep analytical ownership with ongoing responsibility for CRM data quality, ensuring that insights, forecasts, and decisions are built on reliable, trusted data.
This is not a reactive reporting role, it's for someone who actively monitors, analyzes, and improves the health of both our data and our sales performance.
About Your Day To Day

Proactively analyze sales pipeline, bookings, revenue, and funnel performance across segments, regions, and reps
Monitor pipeline health, coverage ratios, conversion rates, and forecast accuracy
Identify trends, anomalies, and risks and proactively surface them to Sales Ops and leadership
Own ongoing CRM data hygiene, including:
Monitoring data completeness, accuracy, and consistency
Identifying gaps or misuse in pipeline stages, deal fields, and forecasts
Partnering with Sales Ops to drive corrective actions with the sales team
Build and maintain analytical models to support:
Forecasting and scenario planning
Performance tracking and productivity analysis
Win/loss and deal level analysis
Work hands on with spreadsheets, BI tools, and data warehouses to transform raw data into actionable insights
Partner closely with Sales ops on planning cycles, QBRs, and strategic initiatives
Collaborate with RevOps, Finance to align definitions, metrics, and data sources
Translate complex data into clear narratives and recommendations for non technical stakeholders
How Success Will Look Like
CRM data is trusted, consistent, and decision ready
Pipeline and forecast accuracy improve quarter over quarter
Data quality issues are identified and addressed proactively, not discovered during QBRs or at quarter end
Leadership relies on your insights to guide sales strategy and execution
Sales Ops views you as a core partner in running the business
Analytical insights directly influence sales behavior and outcomes.
Requirements:
3-5 years of hands-on experience in Sales Analytics, business analyst, or a GTM-focused analytical role, preferably in B2B SaaS
Strong understanding of sales funnels, pipeline management, and forecasting with the ability to proactively identify risks and opportunities
Advanced proficiency in Excel / Google Sheets for modeling, analysis, and large datasets
Proven ability to own and improve CRM data hygiene (pipeline stages, field completeness, forecast integrity)
Experience working with cloud data warehouses (e.g., Snowflake) and/or writing SQL
Familiarity with BI and data visualization tools (Looker, Tableau, Power BI, etc.)
Nice-to-Have
Clear communicator who can translate complex data into actionable insights for Sales Ops and leadership
Previous experience partnering closely with Sales Ops, RevOps, or Finance on planning and forecasting
Personal Attributes & Mindset
High ownership mentality with strong execution skills
Naturally proactive identifies issues and opportunities before they escalate
Detail oriented with the ability to think systemically and strategically
Comfortable working with complexity and turning it into clear, actionable insights
Strong collaborator across Sales, Finance and RevOps
Clear, confident, and effective communicator
English at a native or near native level.
This position is open to all candidates.
 
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04/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.
This isnt a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.
What Youll Do:
Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.
Requirements:
SaaS Experience: At least 2 years of experience as an analyst within a SaaS environment. You understand the core levers of a subscription business (ARR, Churn, PLG etc).
Technical Versatility: High proficiency in SQL and experience with BI tools (Looker, Tableau, etc.). You are comfortable picking up new tools and datasets quickly.
Commercial Intuition: You have a natural ability to connect user behavior to business outcomes. You understand that data is only valuable if it leads to a decision.
Drive & Curiosity: You are a self-starter who takes extreme ownership. You don't wait for the "perfect" brief; you dig in and find the answers.
Strong Communicator: You can present technical findings to non-technical stakeholders in a way that is clear, persuasive, and insightful.
Degree: B.Sc. in Industrial Engineering, Economics, Statistics, or a related quantitative field.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a passionate and creative Financial Business Analyst to join our amazing team.
Responsibilities:
Expense Analysis: Analyze monthly and quarterly expenses against budget and forecast, identifying key variances, trends, and opportunities for improvement. Prepare detailed reports and presentations summarizing findings.
Forecasting and Budgeting: Support the development and maintenance of the company's financial forecasts, including revenue, expenses, and cash flow. Collaborate with budget owners to gather input and ensure accuracy.
Business Partnering: Serve as a trusted finance business partner to assigned budget owners, providing financial insights, analysis, and support to help them achieve their goals. Build strong relationships and understand their business needs.
Performance Reporting: Prepare and distribute regular financial reports, including key performance indicators (KPIs), to management and stakeholders. Identify and analyze trends in financial and operational data.
Financial Modeling: Develop and maintain financial models to support strategic initiatives, scenario planning, and investment decisions.
Ad-hoc Analysis: Conduct ad-hoc financial analysis to support various business needs and projects.
Process Improvement: Identify opportunities to improve existing FP&A processes and reporting, contributing to greater efficiency and accuracy.
Data Management: Ensure the accuracy and integrity of financial data used for analysis and reporting.
Industry Benchmarking: Assist in conducting industry benchmarking analysis to understand competitive performance and identify areas for improvement.
Support Month-End Close: Participate in the month-end close process, ensuring accuracy and timeliness of financial reporting.
Requirements:
Education: Bachelor's degree in Finance, Accounting, Economics, or a related field.
Experience: 3-4 years of experience as a Financial Analyst, preferably within a SaaS or high-tech environment.
Proven experience partnering with R&D teams is an advantage.
Technical Skills:
Strong proficiency in Microsoft Excel (advanced formulas, pivot tables, data analysis).
Experience with ERP systems (NetSuite) and financial planning tools (Pigment).
Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
Analytical Skills: Excellent analytical and problem-solving skills with the ability to interpret complex financial data and identify key insights.
Communication Skills: Strong written and verbal communication skills, with the ability to present financial information clearly and concisely to both finance and non-finance audiences.
Business Acumen: Understanding of business and accounting principles and the ability to connect financial results to operational performance.
Attention to Detail: High level of accuracy and attention to detail.
Organizational Skills: Excellent organizational and time management skills with the ability to prioritize tasks and meet deadlines.
Teamwork: Ability to work effectively both independently and as part of a team.
Proactive: Self-motivated and proactive with a strong work ethic.
SaaS Understanding: Familiarity with SaaS business models, metrics, and financial concepts is highly desirable.
Problem-solving: Ability to identify and resolve issues effectively.
Adaptability: Ability to adapt to changing priorities and work in a fast-paced environment.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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