דרושים » ניהול ביניים » Senior Data Analyst

As the Vice President of Data, you will define and drive the companys data vision, leading the strategy and execution across Data Product, Data Science, and Data Analytics. This is a critical leadership role that will
shape how we use data to generate insights, power our SaaS platform, and drive business value across the organization. Youll report to senior leadership and play a key role in shaping our product, operations, and
go-to-market teams through data.
Key Responsibilities
Define and champion a unified data vision aligned with business goals.
Serve as a strategic leader and key voice in company-wide decision-making through data.
Partner cross-functionally with Product, Engineering, Marketing, Sales, Customer Success, and Finance.
Lead three key functions: Data Product Develop analytics tools, embedded dashboards, and usage insights, Data Science Drive predictive modeling, experimentation, and AI/ML features. and Data Analytics Deliver scalable reporting and actionable intelligence across departments.
Guide team leads, define org structure, and support ongoing hiring and mentoring efforts.
Build and promote a data-driven, high-impact culture.
Foster transparency, curiosity, and continuous improvement across the team.
Lead post-mortems, quality audits, and key roadmap reviews.
Set and track key metrics: business impact, delivery velocity, system stability, and data integrity.

A part of the POC GROWING TEAM- This role will have a substantial impact on the company's future. It will involve managing the integration process with the data warehouses of some of the world's largest brands. This includes:

Mapping the different data sources to connect to (based on dozens of data sources connects to).
Modelling the data in platform, based on the business context and the customers KPIs.
Building a deep understanding of models and analyses to analyze them and debug problems.
Building and defining tools to automate and improve the integration process (scripts to automated data discovery, data pipeline, validation scripts, etc)
Data is the underlying asset of our vision. You will directly impact the core value of the product, which is already used by major brands.
Youll be prioritizing and designing product features (not dashboards), yet you will also work closely with our customers to understand how data is leveraged to make decisions, learn which insights are valued, etc. This wide perspective will put you in a key position to shape the strategy of the growing product, and define its KPIs.
Model data within the platform based on business context and customer KPIs to deliver growth insights. This includes building and defining tools to automate and enhance the integration process, such as scripts for automated data discovery, data pipelines, and validation.
As part of the pre-sales department, you'll lead PoCs with top global companies. This diverse, fast-paced role offers exciting opportunities to work with various industries and make a significant impact. You play a key role in bridging customer needs to our solutions.
If youre interested, you will also have the opportunity of diving into the world of ML led by our excellent Data Science team, taking an active part in structuring the models which run behind our products engine.

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.

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.

We are seeking a highly experienced and innovative analyst who can bring advanced analytical techniques to our team. Your expertise with large datasets and deep understanding of field operations dynamics will drive impactful insights for our growing operations. In this role, you will play a crucial role in ensuring efficiency to the core operations of our organization.

As couriers have complete freedom to choose when to go online and which tasks to approve, their behavior affects our overall levels of service and metrics. Optimizing and molding their behavior via analytical insights is an everyday, game-changing mission. For this mission, amongst other things, you will be developing and optimizing payment models, researching challenges and opportunities in our day-to-day operations, raising flags and providing analytical insights to other operations teams.

What youll be doing
Monitor and analyze core operational KPIs (courier income, task acceptance rate, delivery times, efficiency, etc.)
Conduct data analysis to derive meaningful insights and trends that go beyond surface-level observations
Implement strategies to enhance efficiency and reduce costs.
Develop processes & tools to balance between KPIs and find optimization opportunities.
Design, build, and monitor courier payment models that are fair and lucrative for couriers while aligning with business goals.
Support our geographic expansion over the country as well as our expansion into new product lines and business projects.
Collaborate with other teams locally and globally - such as product, global operations, and analytics.

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.

we are looking for a Analysis Team Lead to join our team!
As an Analysis TL, you will lead a team of CS analysts and product analysts. The team is in charge of analyzing our products existing and newly released features, works closely with our product squads and takes part in the product design, implementation and testing. In addition, the team supports the CS departments business operations. It plays a major role in understanding and nurturing our growing customer base, by exploring the adoption of our companys product by our users, building usage metrics, and exploring ways to increase customer engagement and prevent churn. As a TL, you will be the professional guide for the team, manage their tasks and priorities, and take part in the more complex analytic projects. You will share the team reports and business insights with key business stakeholders in the company, and become the trusted data advisor of the Product and CS departments.
Responsibilities
Lead a multidisciplinary team of exceptionally talented analysts.
Lead the design and implementation of data models, prediction models, and KPIs working closely with the BI dev team.
Oversee the building and maintenance of reports, dashboards, and metrics
Drive data research and exploration to deliver actionable insights that support business performance.
Identify areas for improvement and make recommendations for new opportunities for growth
Develop strong partnerships with product and CS leaders to achieve business objectives and become their trusted data advisor.

We are in search of a detail-oriented and analytical Business Analyst to join our growth team.
The successful candidate will have a minimum of 5 years of dedicated experience in data analysis, a self-learner with a strong drive to excel, and a proven track record of turning data into actionable insights.
What Youll Do:
Data Analysis and Interpretation:
Conduct comprehensive data analysis using analytics tools (Amplitude, ThoughtSpot) to identify trends, patterns, and insights.
Translate complex data sets into actionable recommendations for product improvements and strategic initiatives.
Performance Metrics and Reporting:
Develop and maintain key performance indicators (KPIs) for product performance.
Create and present regular reports and dashboards to stakeholders, providing clear and concise summaries of findings.
Data-driven Decision Making:
Collaborate with cross-functional teams to integrate data-driven decision-making into product roadmap .
Support A/B testing and other data-driven experiments to improve marketing outcomes.
Collaboration and Communication:
Work closely with product managers and other team members to understand business goals and data needs.
Communicate complex data insights in a clear and understandable manner to non-technical stakeholders.
Data Integrity and Quality:
Ensure the accuracy and reliability of data by implementing best practices for data collection, processing, and storage.
Identify and resolve data quality issues.
Reporting and Infrastructure:
Build and maintain reports, ThoughtSpot dashboards, and KPIs to monitor performance.
Develop data processes and build data infrastructure for relevant stakeholders.
Build and enhance multiple fact, dim and marts in DBT environment to be used utilized by advanced analytics tools.

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.