דרושים » תוכנה » Product Analyst

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 Product Analyst thats 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.

This is an exciting opportunity to blend data engineering and analysis in a pivotal full-stack role.

Youll be instrumental in ensuring our data's accuracy and availability, while also generating key insights to drive strategic decisions across Marketing, Product, R&D, Sales, and Customer Success. This role offers a unique chance to leverage both your technical skills and business understanding to extract actionable insights from complex data. Reporting directly to the CTO and collaborating with key stakeholders, youll have a significant impact on our data-driven culture.

Key Responsibilities

Own, maintain, and enhance data pipelines to guarantee data availability and quality.
Analyze and interpret complex data related to marketing, product performance, and user behavior.
Collaborate effectively with various teams to gather requirements, build data understanding, and communicate findings clearly.
Identify and resolve data discrepancies, defining the "source of truth" for crucial metrics.
Develop dashboards to monitor KPIs, assess performance against targets, and pinpoint areas for improvement.
Maintain user funnel dashboards, setting up alerts for anomalies and opportunities.
Implement proactive data monitoring and anomaly detection systems to ensure data accuracy and consistency.
Lead integrations with third-party platforms, optimizing data inputs for marketing tools and advertising platforms, potentially developing algorithms and triggers for targeted actions (e.g., engaging high-value, at-risk, or potential users).
Contribute to the development of our customer-facing Arena Analytics pipeline and data warehouse using tools like Fivetran, Snowflake, and ThoughtSpot.

We are Tailor Brands . We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our “Guidance Engine” assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience and simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
?We’re Looking for a Product Analyst – Join Our Data Driven Journey! As a data-driven organization, insights from our Data Team are essential to shape our strategy and improve the experiences of our customers. We’re looking for a highly motivated data analyst to join our team and work in a dynamic Big Data environment You are detail-oriented, analytical, and passionate about understanding user behavior. In this role, you’ll turn data into actionable insights, influence product decisions, and help drive the success of our platform.
Key Responsibilities Analyze user behavior: Monitor and evaluate website activity patterns and user flows to enhance usability and customer experience. AB Testing: Conduct in-depth analysis of AB tests to provide stakeholders with actionable, data-driven recommendations for product and user value enhancements. Metric Monitoring & Insights: Track product performance metrics, identify trends, and raise alerts on significant changes. Perform periodic and ad-hoc analyses to recommend impactful solutions. Visualization & Reporting: Create and maintain dashboards, reports, and daily summaries that present key SaaS metrics and actionable insights. Collaborate Cross-Functionally: Work closely with teams across Product, Marketing, Customer Success, Finance, and Management to support data-driven decision-making.

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.

we are seeking a strategic and analytical Customer Success Strategy & Insights Manager to join our CS Operations team. In this role, you will lead strategic initiatives that optimize Customer Success (CS) performance, deliver impactful insights through data, and ensure alignment across global CS processes. Youll be instrumental in driving customer health, retention, and growth by enabling data-driven decision making and fostering operational excellence across the CS organization.

What you will do ..

Customer Success Insights & Analytics
Own and analyze customer data to uncover trends in adoption, engagement, and health. Work closely with CS leadership, Product, Finance, and Revenue Operations to develop insights that drive retention, expansion, and customer satisfaction.

Forecasting & Customer Health Modeling
Support CS leadership with accurate forecasting models related to customer churn, renewal, and expansion. Develop and maintain customer health scoring methodologies to enable proactive risk identification and opportunity tracking.

Executive Reporting & Strategic Planning
Deliver regular executive-level reporting and dashboards that highlight key customer trends, operational metrics, and opportunities for improvement. Help shape the strategic planning process through data-backed recommendations and long-term performance tracking.

Operational Excellence & Global Alignment
Ensure global consistency in CS processes, metrics, and tooling. Identify gaps and lead initiatives to streamline and scale CS operations across regions, ensuring smooth collaboration with cross-functional teams like Sales, Product, and Marketing.

Enablement & Tooling Partnership
Collaborate with Global CS Enablement to ensure teams are equipped with the right tools, insights, and best practices to drive outcomes. Support initiatives around training, playbooks, and knowledge sharing with a strong data foundation.

We are looking for a highly analytical and detail-oriented Data Analyst to help us extract meaningful insights, refine our models, and improve customer experiences through data-driven decision-making.
Our Analytical Models team, part of the Product department, is at the core of our innovation. We design, refine, and enhance the analytical models that drive the intelligence behind our products. We work closely with product managers, data scientists and R&D teams to ensure our models are accurate, scalable, and aligned with business objectives.
Responsibilities
Analyze large-scale financial datasets to uncover trends, insights, and opportunities for model optimization.
Work closely with product managers and R&D to enhance the structure and logic of analytical models.
Monitor model quality by tracking accuracy, coverage, and overall performance, implementing improvements as needed.
Build dashboards and reports to visualize insights and present findings to both technical and non-technical stakeholders.
Collaborate in a dynamic, fast-paced environment, contributing innovative ideas to improve data-driven personalization.

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.

the all-in-one platform for hospitality businesses to automate and optimize every aspect of their operations. With purpose-built technology, industry-wide expertise, and an R&D team of 200+ engineers, ensures that hospitality businesses can streamline and achieve growth while delivering the best value to guests. With a complete suite of features and 150+ industry partners, including major booking OTAs like Airbnb, Vrbo, Booking.com, Tripadvisor, Expedia, Hopper, Google Travel, and many more, transforming the hospitality industry with innovative solutions.

Today, has 15 offices and 700+ team members across the globe.
We are seeking a seasoned and strategic Head of Analytics to lead and manage our team of analysts while contributing hands-on to the performance analytics domain.

This is a high-impact role requiring a blend of analytical expertise, leadership skills, and business acumen.
You will take ownership of performance analytics by tracking company KPIs, analyzing performance metrics, and providing actionable insights and predictions on business performance. Additionally, you will collaborate with cross-functional teams to promote a data-driven decision-making culture and ensure alignment with strategic goals.

Responsibilities
Manage and mentor a high-performing analytics team, fostering growth and collaboration. Define team objectives and ensure alignment with business priorities.
Partner with executive leadership to identify opportunities to leverage data for strategic business decisions.
Drive high standards of data quality and governance, ensuring the accuracy and reliability of insights.
Partner with data engineering to optimize data pipelines and analytics infrastructure.
Collaborate closely with internal stakeholders and teams to deliver impactful insights that drive alignment with company objectives.
Ensure clear communication and alignment of analytics priorities across stakeholders.
Utilize strong SQL skills to engage directly with data, build queries, and support complex analyses.
Oversee the creation and maintenance of dashboards, reports, and KPIs to monitor performance across all business functions.
Identify trends, anomalies, and opportunities to inform decision-making and drive continuous improvement.