דרושים » תוכנה » Data Analyst

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 data Analyst position, 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:
* 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 business targets.
* Deep analysis of 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.
* 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 strategic road maps.

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 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 Riverside, 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. Riversides 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 Riversides 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 Riverside.
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 Riverside 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.

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.

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.

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.

the brand grabs attention like nothing else in cybersecurity. And were growing like crazy, with $70M in Series C funding, 200% employee growth, and 300% revenue growth in 2024. Fueling growth are our game changing agentic AI security solutions, backed by a team and culture that makes one of Forbes Best Startup Employers in America, and a Business Insider startup to bet your career on.

Life at is all gas, no brakes. Were a team of relentless, collaborative go-getters pushing the boundaries of whats possible for security automation. Every role is an essential driver of success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. Excited about our vision and ready to make an impact as we grow? Wed love to see what you can bring to the team.

A Product Analyst at plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.

What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

The Product Business Intelligence team is looking for an experienced, data-driven, and highly motivated senior Product Analyst to join our data team that is responsible for the IronSource network. Our team's mission is growing the network through data driven insights and decision making. In team we partner with leadership, product managers, engineers, revenue teams, and other stakeholders, to uncover opportunities, deliver actionable insights, and provide recommendations that drive business outcomes and address IronSource's data and analytical needs.
What you'll be doing
Partner with leadership and Product to develop long term strategy and leverage data-driven insights to provide recommendations, breaking down strategic opportunities into actionable, clear roadmaps.
Define, instrument, and monitor key product and network KPIs to track progress, evaluate product performance, and assess overall health.
Identify and promote opportunities for impact across different product areas while analyze large datasets from multiple products to deliver insights that will guide product development.
Identify, evaluate, and support the execution of key business opportunities with data-backed insights, ensuring measurable outcomes
Own, maintain, and develop the reporting data pipeline for specific products and custom dashboards.
Work with various relational and non-relational databases, including Presto, BigQuery, Redshift, MySQL, and more.

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.