דרושים » תוכנה » Analytics Engineer

revolutionizing maritime operations with cutting-edge computer vision, augmented reality, and autonomous technologies. Our mission is bold: make ocean shipping safer, more efficient, and significantly greener.
From real-time navigation assistance to AI-driven insights that reduce fuel consumption and prevent collisions, were building a future where ships sail smarter. Join our growing team and help shape the next generation of intelligent maritime systems used by leading fleets across the globe.

The Role
Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
What Youll Do
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex featuresfrom concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with qualitywriting clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

Were growing and looking to hire a Data Team Leader who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
We are seeking a Data Team Leader with strong technical expertise and a flair for innovation to join our dynamic Data Science and Analytics group. You will play a key role in advancing solution by crafting and sustaining the data collection infrastructures, including cutting-edge LLM data pipelines and web collection frameworks, along with data alliances.
This role requires a visionary leader who is both hands-on and proactive, able to collaborate closely with analysts, data scientists, and product teams to devise scalable solutions. Your mission will be to ensure data reliability and to drive the creation and maintenance of high-scale data collection systems, manage data alliances, and uphold governance within our data collection infrastructure.
Responsibilities:
As Data Team Leader, Your impact will be:
Leading and scaling a team of talented LLM engineers, network analysts, and web scrapers to drive core data initiatives.
Fostering a culture of innovationpromoting continuous learning and high engineering standards.
Defining data collection strategies aligned with business KPIs and ensuring measurable impact.
Maintaining and evolving our data infrastructure, with a strong focus on automation and efficiency.
Working closely with backend developers, PMs, data scientists, analysts, and external data partners to design and deliver robust data solutions.
Integrating and managing data flows across various sources and systems.
Taking ownership of data alliances, budgets, and overall data strategy.

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.

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 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.

As a Data Researcher , you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system. You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.

You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field. We foster an informal, collaborative environment where your contributions are highly valued. This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.

What you'll be doing:

Play a major role in the creation, development, implementation, and ongoing improvement of our decision-making logic within our live production environment.
Conduct in-depth research into complex fraud patterns and emerging threats.
Utilizing vast and rich datasets to extract insights that drive actionable decisions to enhance the precision of our systems.
Developing new, innovative system components and models, along with refining and advancing our feature engineering processes.
Collaborate with a team of the industrys leading researchers, data scientists, and software engineers to develop the next generation of AI technology.

We are looking for a talented Senior Data Engineer to join us.
As a Data Engineer, you will be a key member of the data team, at the core of a data-driven company, developing scalable, robust data platforms and data models and providing business intelligence. You will work in an evolving, challenging environment with a variety of data sources, technologies, and stakeholders to deliver the best solutions to support the business and provide operational excellence.
If you are passionate about data, a team player, and proactive, we want to hear from you.
Responsibilities:
Design, Develop & Deploy Data Pipelines and Data Models on various Data Lake / DWH layers
Ingest data from and export data to multiple third-party systems and platforms (e.g., Salesforce, Braze, SurveyMonkey).
Architect and implement data-related microservices and products
Ensure the implementation of best practices in data management, including data lineage, observability, and data contracts.
Maintain, support, and refactor legacy models and layers within the DWH

Were looking for a senior and strategic leader to join our Product Analytics team. Our ideal candidate is an expert in product analytics, is passionate about championing a data-driven approach to fuel product innovations, while being able to inspire, challenge, and grow top-tier talent.
You will manage a group of high-performance data analysts, responsible for defining and executing Product orgs data strategy as we build an AI-ready analytics stack.
In this role youll
Partner with senior Product leadership to develop and execute a forward-looking product data analytics vision and strategy
Lead and mentor a talented team of managers and data analysts, fostering craftsmanship and career growth
Stay up-to-date with emerging trends and best practices in product analytics, creating an AI-ready analytics stack
Manage and improve processes to balance between long-term, high-effort strategic projects and short-term, quick wins
Collaborate with other Analytics teams, Data Platform, and R&D to drive complex, cross-functional data projects.

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. Youll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity building the next generation of security products at the core of strategy.

Youll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.

If youre excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation we want to hear from you.

Key Responsibilities
Translate ambiguous product or business challenges into well-defined data science problems
Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
Design and implement data-driven algorithms, analyze data, build and evaluate models
Collaborate with engineering to deploy scalable, production-ready solutions
Work with product teams to align AI solutions with user needs and business goals
Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization