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We're looking for a Senior Business Analyst to lead the data domain within our Working Capital Business unit - a high-impact, fast-moving team that operates like a startup within a global company.
This is a unique opportunity for a hands-on, strategic thinker to take full ownership of our data domain: from defining and executing our data strategy, to building advanced risk models and scalable infrastructure - while leading the data domain in a matrixed structure that includes a business analyst and a data engineer.
The ideal candidate brings a strong analytical mindset, experience in data modeling, and a proven ability to turn complex datasets into actionable insights that shape business strategy. They also possess the skills to design and build scalable data infrastructure, along with strong teamwork and leadership capabilities in a cross-functional environment.
What youll do:
Own and lead the data domain within the Working Capital unit, including analytics, modeling, and infrastructure.
Design, develop, and maintain our risk scoring model - a core component of the product used to assess credit risk.
Develop, refine, and maintain dashboards, reports, and visualizations to monitor key KPIs.
Conduct in-depth analysis to uncover trends and deliver strategic, actionable insights for all business domains (Risk, Growth, and Ops).
Guide and mentor analysts, fostering a high standard of analytical thinking and execution.
Partner with cross-functional teams (RevOps, Marketing, finance, operations, etc.) to enhance the data infrastructure supporting the Working Capital business.

we are a rapidly-growing mobile gaming company located in central Tel Aviv. We are looking for a sharp and passionate Senior Business Analyst to join our team. Our massively popular gaming app is enjoyed by millions of people from around the world who experience the fun of playing live with friends and connecting with new ones! If youre an eagle-eyed, sharp, intelligent, data -driven analyst, with a love for stats and numbers, wed love to talk! The role will involve answering challenging inquiries for the company's diverse teams (Product, Marketing, etc.) and making sense of data! An essential part of the role requires being consistently curious by data, trying to understand it best and aiding in data -driven solutions across the company. (We work from our office in Tel-Aviv- not hybrid)
Responsibilities:

* Analyze large, complex data sets representing the behavior of millions of online and mobile game players to address strategic and operational business questions
* Plan, create & implement day-to-day events and promotions strategies based on users' behavior analysis.
* Provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps
* Work closely with internal departments to drive insights that will help produce better insights that will drive towards monetization and retention improvements
* Build automated dashboards and reports to facilitate company-wide awareness and understanding of key business metrics and players' experience.

Advantages:

* Passion for games

Were looking for a Senior Data Analyst to help ensure the quality, completeness, and integrity of our foundational data. Youll work closely with data engineers, product managers, and operations teams to monitor pipelines, evaluate new data sources, design performance metrics, and derive insights that improve our entity models and customer outputs.
This role is ideal for a highly analytical and independent thinker who enjoys working with complex data ecosystems and translating messy real-world data into actionable insights.
RESPONSIBILITIES
Data Quality & Metrics
Define and maintain KPIs and quality metrics for POI and chain data accuracy, coverage, and freshness.
Monitor large-scale ingestion and enrichment pipelines, identifying anomalies, data drifts, or source inconsistencies.
Operational Analytics
Design dashboards and tools to track data health, system performance, and SLA compliance.
Provide visibility into the performance of automated systems and manual processes across the Foundation domain.
Cross-functional Collaboration
Work with engineers to validate and optimize merge, enrichment, and geocoding logic.
Partner with product and operations to assess the impact of data changes on downstream systems and customer-facing products.
Exploration & Research
Evaluate new data providers, test hypotheses about data behaviors, and contribute to decision-making for third-party integrations.
Develop data-driven recommendations to improve POI modeling and chain linkage accuracy.

Were looking for a sharp Senior 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

We are looking for a data Analyst to join our fast-growing company and data department to support Customer Care domain. In this role, youll work closely with the Customer Care, Trust & Safety, and Product teams to analyze trends, identify risks, and drive operational improvements through data. Were looking for someone who is AI-native, tech-savvy, and curious by nature a self-learner who takes ownership, explores automation and AI tools to enhance analytical workflows, and proactively turns data into action. This position is temporary, a replacement for maternity leave.
What am I going to do?:

* Serve as the data focal point for Customer Care & Risk teams.
* Analyze and derive actionable optimizations with the goal of improving User Experience
* Provide supporting data for prioritizing new features and initiatives
* Plan, monitor and analyze AB tests for new features
* Make data accessible by well-defined tracking and processes
* Create optimal monitoring and visibility by building reports, alerts, and dashboards
* Manage multiple tasks at a time in a fast-paced environment
* Proactively provide insights that will lead the business growth
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

מיקום: פתח תקווה
About the position
We provide an advanced end-to-end technological solution for human resource management and organizational efficiency.
We are looking for a talented data Analyst to join our team.
In this role, you will take ownership of end-to-end data analysis, transforming complex data into actionable business insights that support strategic decision-making and drive company growth.
The position is located in Petah Tikva.

Key Responsibilities
Analyze data from various company systems and generate actionable business insights.
Build reports and interactive dashboards for management and for CS, Product, and Marketing teams.
Work with data warehouses and write complex SQL queries.
Maintain and optimize data infrastructure while developing data -driven work processes.

We are looking for a highly motivated and talented Marketing Data Analyst to join our Analytics team and contribute to our marketing organization's strategic decision-making process.
As a Marketing Data Analyst, you will work closely with members of the marketing organization to drive impact, value, and insights using data and play a key role in our growth.
What does a Marketing Data Analyst at our company mean?
Collaborate closely with members of the marketing & product organizations to leverage data for strategic decision-making.
Design and build dashboards to monitor business KPIs, ensuring data hygiene and integrity.
Develop models, targets, and tracking reports to measure the effectiveness of our marketing efforts.
Identify new growth opportunities and foster a data-driven culture within the marketing organization.
Communicate your findings and recommendations to stakeholders in a clear and compelling manner.
Collaborate with data engineers to integrate new data sources, enhancing our systems.

We are seeking a passionate and seasoned Senior Finance data Analyst to join our data team and lead our disruptive product on the B2C channel. The ideal candidate should be able to develop effective and efficient data analysis solutions, interpret and communicate data -driven insights to inform decision-making, and support data -driven initiatives that drive business objectives.
About The Role Collect, analyze, and interpret financial data to provide insights into business performance. Develop and maintain financial reports, dashboards, and visualizations to support decision-making Prepare ad-hoc analyses and reports on revenue, costs, profitability, and other key financial metrics. Performing financial reconciliation with business partners, focusing on payment reconciliation and ongoing monitoring of financial transactions. Responsible for importing, managing, and maintaining data from leading financial systems such as Stripe and Nuvei while ensuring data accuracy and completeness. Conducting cross-validation and verification of data between the company's internal systems and external systems, including sales data verification against payment service providers. Perform data validation and reconciliation to ensure accuracy across multiple sources. Automate and streamline data collection processes to improve reporting efficiency. Continuously seek ways to improve data reporting processes, financial modeling, and forecasting accuracy.

we are looking for a brilliant Marketing data Analyst to join our data department. As part of this position, you will be working alongside various marketing teams that are responsible for acquisition of new users. You'll use your analytical, technical and business expertise to track and measure marketing efforts, uncover trends, spot opportunities, and support key decision-making processes. You will be required to answer complex questions defined by executive management and various business units, develop insightful recommendations and initiate deep-dive analyses. Were looking for someone with a passion for numbers and marketing domain, a proactive mindset who brings creative ideas to solve tough challenges and spot new opportunities.You will leverage AI tools, automation, and advanced analytics to streamline workflows, uncover insights, and support data -driven marketing decisions.
What am I going to do:
* Conduct deep-dive analysis to answer complex business questions and deliver comprehensive recommendations.
* Build and maintain the teams reporting set and dashboards.
* Develop marketing measurement methodologies and data science models.
* Provide ROI-based recommendations to optimize marketing spend across channels.
* Identify opportunities for automation and smarter ways of working through data and AI tools.
* Manage multiple tasks in a fast-paced working environment.
* Collaborate closely with stakeholders across the marketing department.

Were looking for a hands-on leader to take ownership of our data and analytics landsape.
This isnt a pure management role we need someone who can roll up their sleeves, dive into AWS environments, and still have the strategic view to guide a growing data team.
The ideal candidate combines strong technical expertise in data engineering and analytics with a solid understanding and genuine passion for Artificial Intelligence (AI) including how AI can enhance data-driven decision-making and operational efficiency in the financial domain.
In this position youll:
Shape the companys overall data strategy and decide how we store, move, and use data across the business.
Lead a small but growing group of engineers, analysts, and BI specialists, making sure they have the right tools and direction.
Stay close to the technology designing and reviewing data pipelines, checking performance, and being the go-to person for AWS data solutions like Redshift, Glue, Athena, S3, and others.
Work with business leaders (finance, risk, compliance) to turn their questions into clear, data-driven answers.
Identify opportunities to integrate AI/ML into data workflows and business processes.
Establish best practices for data governance, quality, and security in a financial services org.
Drive automation and efficiency through modern data and AI tools

Required Senior Data Analyst, Data Science Team
The opportunity
Join a high-impact team of applied researchers and engineers where you'll dive deep into the full ML lifecyclefrom comprehensive data exploration to model evaluation and performance analysis. This role offers unique exposure to cutting edge machine learning applications while building your expertise in both analytical depth and ML systems.
What you'll be doing
Conduct comprehensive exploratory data analysis and deep-dive investigations across our full data ecosystem to uncover insights that drive ML and product strategy
Analyze ML model results, performance metrics, and conduct sophisticated model evaluations that inform algorithmic improvements
Design, implement, and analyze A/B tests while serving as a key contributor to our model evaluation and experimentation processes
Build analytical pipelines and automated systems that scale our ability to measure ML effectiveness and business impact
Create advanced dashboards and reporting systems that translate complex model performance into actionable business insights.

As a Senior Product Analyst at our company, youll join the AI Solutions group, contributing to the development of intelligent identity security capabilities. This role sits at the intersection of data, product, and AI - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. Youll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing AI-driven features that improve the performance, usability, and intelligence of our offerings. This is an ideal opportunity to kick-start your career in product analytics with mentorship, responsibility, and meaningful impact from day one
Analyze product usage and behavioral data to support the design and improvement of AI-powered features.
Work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and user experience.
Build and maintain dashboards, KPIs, and reports that drive product decision-making.
Contribute to the development and validation of success metrics for new capabilities.
Collaborate with data scientists on experiments, A/B tests, and model monitoring efforts.
Ensure data quality and support scalable pipelines by working with data engineering teams.
Communicate findings through clear presentations and visualizations that influence roadmap decisions.
Develop a deep understanding of product workflows and user behavior to guide analytical priorities.

Were looking for a Data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of our company.
What you will be doing
You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
Collaborate with the team, define KPIs and measure the impact of their teams on our company performance.
Design, execute, and analyze A/B tests to measure the impact of changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and user journey optimization.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to make people’s lives easier by enabling meaningful connections — from special moments with friends and family, to building businesses and pursuing passions. We’re looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. You’ll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact. If you’re passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; we’d love to hear from you!

Responsibilities:

* Identify opportunities for improvement through data analysis aligned with company strategy.?
* Partner cross-functionally to translate data findings into actionable product and business decisions.?
* Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.?
* Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.?
* Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.?
* Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

Advantages:

* Background in statistics, causal inference, or experimentation frameworks.?
* Experience mentoring analysts or leading analytical projects.?
* A deep interest in social, communication, or engagement-driven apps.