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Were looking for a Data Security Analyst to join our Data Science team. The team is part of the security apps organization, tasked with building our suite of security products.

About the role:
As a data security analyst you will play a critical role in defining the logic behind many of our security products policies and classification algorithms, based on extensive research of huge datasets. You can also expect to work closely with data scientists on cutting edge ML and AI features for our product line.

What youll do:
Analyze large-scale datasets and identify patterns that will be used to implement security policies in our products.
Define and improve classification algorithms for detecting sensitive data.
Work closely with data scientists on data analysis and exploration for ML and AI features.
Collaborate with software engineers to implement features based on your analytical research.
Partner with the product team to find new ideas for features based on analysis of product metadata.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

We are looking for a technically skilled and analytically driven System Analyst to join our Product & Operation group in our Interactive content & Aggregation BU.

This is a key role that bridges product strategy and technical executionworking closely with cross-functional teams to analyze, model, and define software systems that scale, comply, and perform under the demands of a global aggregation platform.

Our platform provides an aggregation of games to the iGaming industry including Engagement Tools, Back Office Systems, Core Business Logic, and multiple 3rd-party integrations.

As a System Analyst, you will contribute to the logical architecture, data flow, and integration design that power these experiences across regulated markets.

This is a hands-on, impact-driven role for someone who excels in abstract thinking, systems modeling, and translating product ideas into structured, scalable designs.

Key Responsibilities

Collaborate with Product Managers, Architects, and developers to analyze and break down requirements into actionable, high-fidelity system specifications.
Define and document high-level system design and interactions across client applications, services, and integrations.
Design and maintain logical component models, module interaction diagrams, and data flow diagrams (DFDs), including process flow or UML diagrams.
Create and manage logical data models (ER diagrams) and data dictionaries to describe entities, relationships, and data flow between modules.
Define UI screen flows and navigation logic at a logical level, including optional mockups or wireframes to aid clarity.
Design and document security layers including authentication and authorization flows, and access control models.
Lead the logical integration design for internal modules and external systemsdocumenting APIs, data contracts, and integration touchpoints without committing to protocol-level details.
Maintain a clear traceability matrix between business requirements, system behavior, and functional specifications.
Lead grooming and system analysis workshops with development teams, ensuring alignment with architecture and solution vision.
Evaluate system impact for feature enhancements, changes, or third-party integrations, and document interdependencies and trade-offs.
Support QA teams and UAT processes by clarifying system behavior and data expectations.

We are looking for a technically skilled and analytically driven System Analyst to join our Product & Operation group at Interactive content & Aggregation BU.

This is a key role that bridges product strategy and technical executionworking closely with cross-functional teams to analyze, model, and define software systems that scale, comply, and perform under the demands of a global aggregation platform.

Our platform provides an aggregation of games to the iGaming industry including Engagement Tools, Back Office Systems, Core Business Logic, and multiple 3rd-party integrations.

As a System Analyst, you will contribute to the logical architecture, data flow, and integration design that power these experiences across regulated markets.

This is a hands-on, impact-driven role for someone who excels in abstract thinking, systems modeling, and translating product ideas into structured, scalable designs.

Key Responsibilities
Collaborate with Product Managers, Architects, and developers to analyze and break down requirements into actionable, high-fidelity system specifications.
Define and document high-level system design and interactions across client applications, services, and integrations.
Design and maintain logical component models, module interaction diagrams, and data flow diagrams (DFDs), including process flow or UML diagrams.
Create and manage logical data models (ER diagrams) and data dictionaries to describe entities, relationships, and data flow between modules.
Define UI screen flows and navigation logic at a logical level, including optional mockups or wireframes to aid clarity.
Design and document security layers including authentication and authorization flows, and access control models.
Lead the logical integration design for internal modules and external systemsdocumenting APIs, data contracts, and integration touchpoints without committing to protocol-level details.
Maintain a clear traceability matrix between business requirements, system behavior, and functional specifications.
Lead grooming and system analysis workshops with development teams, ensuring alignment with architecture and solution vision.
Evaluate system impact for feature enhancements, changes, or third-party integrations, and document interdependencies and trade-offs.
Support QA teams and UAT processes by clarifying system behavior and data expectations.

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.

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.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s 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. Riverside’s 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 Riverside’s Data & Analytics team believes there’s 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 you’re passionate about finding radical new ways to leverage data, you’ll fit right in.
On your day to day We’re looking for a Product Analyst that’s proactive, curious, entrepreneurial, and has a strong opinion. The product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of Riverside.
What you will be doing You will work closely with Product teams and your responsibilities will include:
* Analyze user behavior and product usage to identify customers’ needs to inform product development and strategy.
* Collaborate with the Product team, to define KPIs and measure the impact of product development on performance.
* Measure features adoption and retention and identifies opportunities for growth..
* Design, execute, and analyze A/B tests to measure the impact of product 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 product optimization.
What Will Make You Stand Out?
* At least 2 years of experience as an Analyst in a tech company.
* Minimum of 1 year of experience as a Product Analyst or Growth Analyst, with a strong background in product-led growth strategies.
* Strong communication and presentation skills.
* Familiarity with A/B testing methods and the ability to make data-driven decisions.
* Proficiency in SQL is a must. Knowledge of Python for data analysis is a bonus.
* Creative thinking for product improvement.
* Understanding of business and product processes to create effective data models.
* Detail-oriented with a proven track record in quantitative fields.
* Capable of collaborating with diverse teams in a fast-paced environment.
* High proficiency in English, both written and spoken
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.

We are looking for a Risk Analyst to help us build, design, and manage risk analytics & reporting for our existing portfolio of merchants across all operating countries. Youll be responsible for developing, publishing, and fine-tuning the analytics and reporting requirements for Global business for the Risk team.
The role requires strong Data Analytics, Business Intelligence, and Visualization skills and the ability to explain complex situations and concepts through data-driven storytelling.
This role also has scope for building risk models for our existing portfolio of merchants to mitigate the existing financial risk. Modelers will be taking the responsibility of defining the problem statement, building the solution, and offering an optimal strategic approach to implement the solution within the existing ecosystem and showcase value addition.
The role will require coordination with teams within Risk and across and managing senior stakeholders within the Risk function. You will need to work with Risk team members to understand their analytics and reporting requirements and build the same. You will be a key member of the team working in a fast-paced environment on impactful assignments with the exposure to work directly with senior management across the company.
Key Responsibilities:
Own (Build and maintain) the Risk reporting area for the Global Risk team and publish reports aligning with the requirement timeline
Perform analysis throughout the entire customer lifecycle, including acquisition, portfolio management, and collections providing actionable MI on all aspects of portfolio performance
Provide support to the business by addressing inquiries and offering ad hoc insights into portfolio and strategies.
Develop and maintain the Risk models used to manage customer credit and fraud risk in including exposure and default methodologies and associated behavioral measures.
Design, Development, and maintenance of analytical solutions related to risk.
Providing the business and other stakeholders with advice and support on model use, model impact, and model implementation
Supporting external engagement and internal governance in relation to risk models and model frameworks

Required Data Analytics Engineer
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. We are seeking a skilled Data Analytics Engineer to join our dynamic Analytics team. In this role, you will play a critical part in building, maintaining, and scaling our data infrastructure to support business intelligence, product analytics, and business operations. You will collaborate closely with analysts, data scientists, and cross-functional stakeholders to ensure clean, reliable, and efficient data pipelines. This is an opportunity to contribute to a data-driven culture and help drive actionable insights across the company.
What will you be responsible for?
Designing, building, and optimizing robust data pipelines to ingest, process, and store data from various sources
Maintaining and optimizing our data warehouse (e.g., Snowflake, BigQuery, Redshift) and building data models to ensure scalability, reliability, and performance
Developing and maintaining ETL/ELT workflows to enable data accessibility for reporting and analysis
Collaborating with analytics teams (BI, product, and business) and cross-functional teams (GTM, product) to understand data requirements and providing the necessary infrastructure and data models to support their objectives
Monitoring and troubleshooting data quality, pipeline failures, and performance issues, and implementing fixes and improvements as needed
Contributing to automating manual processes and improving data reliability and efficiency
Staying up-to-date with emerging trends, tools, and technologies in data engineering to drive innovation and continuous improvement.

A well-funded AI startup leveraging Machine Learning and Computer Vision to optimize passenger journeys by making security screening accurate, fast, and labor-free. We are at the forefront of AI innovation, located in the heart of Tel Aviv, and are looking for passionate professionals to join our dynamic team.
We are seeking a Data Analyst to work within our R&D Department. This role involves managing and analyzing complex data pipelines, building insightful BI dashboards, and supporting the development of machine learning models. Your work will directly contribute to improving our AI-driven product and driving business decisions.

Responsibilities:
Manage and maintain the labels database to ensure accurate and consistent data for machine learning model training.
Analyze machine learning model performance and provide detailed insights to improve accuracy and efficiency.
Design, build, and maintain BI dashboards using Tableau or other visualization tools to deliver actionable insights.
Develop and execute automated processes for data preparation, analysis, and reporting.
Collaborate with cross-functional teams to define technical requirements and implement scalable data solutions.
Conduct in-depth analysis of business, technology, and product activities, delivering comprehensive insights to stakeholders.
Identify trends and opportunities for optimization, presenting findings to the management team.