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our company's AI & data Division is hiring a data & Analytics team lead! Join us in leading a high-impact data initiative in the consumer goods sector, supporting strategic decision-making across business functions. What youll do:
* Lead reporting and analytics services across departments
* Translate complex data into clear business insights
* Manage cross-functional data projects and present to leadership
* Drive innovation in tools, technologies, and data strategy

DealHub offers a cutting-edge quote-to-revenue solution designed to streamline sales processes, accelerate deal cycles, and deliver predictable revenue for mid-market and enterprise B2B SaaS companies. Our intelligent platform empowers organizations to connect their teams, simplify workflows, and close deals with efficiency and precision. About the Role We are looking for an experienced and strategic Lead Business Analyst to join our Finance Department , reporting directly to the CFO This is a unique opportunity to own and lead the entire domain of business reporting and analysis across the company. You’ll be the go-to expert for delivering high-impact insights to our executive team and driving data-informed decisions. While this is an individual contributor role, you will lead the function and collaborate closely with C-level stakeholders. What You’ll Do
* Lead the creation, management, and presentation of financial and business reports to support strategic planning
* Partner closely with the CFO and other C-level executives to identify key business questions and provide actionable insights
* Translate business needs into data models, reports, and visualizations to support forecasting, budgeting, and performance tracking
* Build and maintain dashboards that monitor company-wide KPIs
* Work cross-functionally with BI, Sales Ops, and other departments to align on metrics and reporting standards
* Identify and drive process improvements, efficiencies, and scalable solutions

We are a global sports technology hub that offers multiple solutions to dozens of millions of users worldwide. The company provides Real-Time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. We are seeking a Senior data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the Big Data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.
Responsibilities:
* Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
* Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
* Analyze large, complex data sets to address strategic and operational business questions.
* Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
* Perform qualitative, quantitative, and statistical analysis.
* True passion for understanding data and finding Insights.
* Provide actionable recommendations and conclusions from data to shape features and future product road maps.

We are looking for a highly skilled Senior Data Analyst with strong technical expertise and a passion for analyzing and optimizing mobile app performance. The ideal candidate will have extensive experience in data analysis, A/B testing, and working with causality models to drive actionable insights.
If youre passionate about the data analysis, and driving business growth through insights, wed love to hear from you!
Responsibilities
Identify improvement areas through data analysis, aligned with the companys strategic vision and goals.
Collaborate with cross-functional teams to translate data findings into business strategies.
Define, conduct and analyze A/B tests to evaluate the effectiveness of different product initiatives.
Developing and monitor dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders.

we are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.

Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

At our company, fraud isnt just a problemits a puzzle. Were looking for a sharp, curious, and experienced Senior Fraud Data Analyst to take a leading role in uncovering abuse, analyzing behavioral anomalies, and developing data-driven strategies to stay one step ahead. If you love connecting the dots in messy data, challenging assumptions, and working with others to build smarter defensesthis role is for you.
What Youll Do:
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across our platforms.
Stay Ahead of Fraudsters: Keep up with evolving fraud tactics and propose proactive solutions to prevent emerging threats.

We are looking for an experienced Data Analyst to join our Data Group.
As a Senior Data Analyst, youll be at the forefront of driving business decisions in a fast-paced environment, leveraging advanced analytics, root cause analysis, and prescriptive statistics to uncover actionable insights. Collaborating with cross-functional teams, youll diagnose performance issues, optimize algorithms, and implement automation to streamline processes. Youll experience instant gratification as your insights and recommendations drive real-time changes that directly impact the business.
Analyze & Interpret Data: Harness your SQL expertise to query large datasets, conduct root cause analysis, and deliver prescriptive insights that drive impactful business decisions in real time.
Collaborate Across Teams: Partner with product managers, data scientists, and engineers to uncover trends, validate hypotheses, and address anomalies with data-driven precision.
Solve Business Problems: Apply advanced analytics and automation to diagnose root causes, implement solutions, and optimize performance in a fast-paced environment.
Drive Real-Time Impact: Experience instant gratification as your insights shape critical KPIs, enabling the business to adapt and grow in real time.

We are looking for a Data Analytics Team Leader to join and lead our Data Group.
What You'll Do:
Lead & Mentor: Guide and develop a team of skilled data analysts, ensuring their alignment with company objectives and fostering a culture of excellence and collaboration.
Collaborate Strategically: Work cross-functionally with product managers, data scientists, and engineers to drive impactful decisions through data insights, ensuring alignment between business goals and technical solutions.
Hands-On Expertise: Stay hands-on with advanced analytics and data interpretation while setting strategic priorities for the team.
Optimize & Innovate: Identify root causes, solve complex business problems, and implement automated solutions to streamline processes and optimize performance.
Drive Real-Time Impact: Ensure your teams analyses directly shape critical KPIs and adapt to real-time changes in a fast-paced, data-driven environment.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
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.

Required Data Analytics Project Manager
Our team's responsibility is to lead our data product by defining data processes. As the main point of contact for data issues across the company, we are constantly improving data enablement processes and supporting our data users within the organization.
We're looking for a talented Project Manager with a can-do attitude and strong communication skills.
Also, our Project Manager has strong technical skills, and is capable of learning new technologies quickly and on his own.
Submit if you think you have it :)
What will your job look like?
Support and manage the full life cycle of a project, both internally and externally with the customer (OEMs and Tier 1s), for all data scopes.
Manage specific workstreams as part of a larger project management group
Work internally with the Algorithm, SW, Integration, and Data teams to achieve defined processes and track plan progress
Tasks prioritizations
Manage and own the system design and its external interfaces.
Manage project risks
Attend and lead meetings and workshops with OEMs and Tier 1s
Communicate project status internally.

We are looking for an experienced Senior Data Analyst to join the Financial Planning & Analysis department as a foundational member of our in-house Data Analytics team. This critical role will specifically partner with our Revenue team, working with them to track and analyze the drivers of our variable profitability, ranging across: customer behavior trends, pricing strategy, product profitability, and more. To succeed in this role, you should be very comfortable coding in Big Query, visualizing with PowerBI, and most unique to this data analyst position enjoy applying these skills to finance-specific analyses.

What youll do: 
Lead end-to-end development of new BI solutions to enhance the Revenue teams reporting and analytical capabilities (e.g., writing complex, efficient Big Query SQL queries that feed Power BI dashboards).
Partner with business stakeholders to understand and address their reporting and analytical needs.
Help define and design new key metrics and segmentations to improve how we track the business.
Work closely with the Data department to identify and support implementation of data-related improvements across the organization.

Location: Tel Aviv, Israel
Hybrid
Full-time

Introduction Welcome to where innovation meets expertise. We're not just another startup; we're a dynamic and rapidly expanding company driven by seasoned leaders in the world of fintech and Ecommerce. Our passionate team is on a mission to tackle one of the most pressing issues plaguing online businesses today: chargeback fraud. This insidious menace all too often results in substantial losses, both in revenue and profits. Join us on our journey as we revolutionize the fight against chargeback fraud. Who We're Looking For - The Dream Maker As a Senior data Analyst, youll be Embedded within the R&D team, working alongside data Scientists and Senior Engineers. Your mission is to build a world-class understanding of transaction behaviors, chargeback patterns, and payment flows. Youll leverage deep payments domain expertise to guide product decisions, optimize detection and automation models, and uncover high-impact insights from complex data sets. You are not just a number cruncher, you are a storyteller, a domain expert, and a strategic thinker who thrives at the intersection of data, product, and engineering. Your Arena:
* Own and lead analytical projects across the payments lifecycle: from order creation to dispute resolution.
* Work cross-functionally with product managers, engineers, and data scientists to design metrics and deliver insights that shape roadmap decisions.
* Conduct deep-dive investigations into chargeback patterns, merchant behavior, fraud signals, and transaction anomalies.
* Collaborate closely with the data engineering team to improve our data models, pipelines, and analytics infrastructure.
* Translate ambiguous business problems into well-defined analytical frameworks and execute them end-to-end.

We are seeking a Senior Data Analyst to join our team and take a leading role in shaping the future of our data science. We need your CTO-grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.

Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people.

The Data Science Team Leader at Product will report to the VP Product.

Requirements:
Understand the physics underlying each product feature, devise the method by which the feature operates, and work with R&D to build, improve and deploy it.
Create our Data Product offering build a set of reports and recommendations to customers, exposing the value of the underlying technology.
Analyze customer data and field deployments to identify edge cases, improve models, and drive continuous product improvement. Bridge the gaps ad-hoc to bring immediate customer value, using AI and data analytics skills, as well as collaborating with R&D, Product, and AI teams.
Implement algorithmic solutions to solve urgent issues, with a clear path toward production deployment.
Once the business need arises and team expansion begins, take an active role in hiring, mentoring, and leading a team of data scientists and analysts.

We're looking for a Senior Product Analyst to join our growing team as a hands-on IC who drives high-impact insights across multiple domains . You'll independently tackle unique analytical challenges while collaborating across product, engineering, and business teams, building data infrastructure for both human and AI agent analyses. You'll be required to leverage AI tools to amplify your analytical impact and pioneer how our organization integrates data and AI for growth.

What you'll do

Cross-domain impact - Analyze product performance and user behavior across multiple teams to drive business growth and user experience improvements
Problem solving - Tackle unique analytical challenges that don't exist elsewhere in the industry
AI-enhanced infrastructure - Build analytical and semantic layers that support both human analysts and AI agents for scalable insights generation
Strategic storytelling - Create analyses & dashboards, present actionable recommendations to stakeholders through clear data narratives
Agile execution - Prioritize and manage multiple high-impact projects while collaborating with product managers and cross-functional teams
Proactive impact - Drive initiatives and identify opportunities within assigned domains