דרושים » תוכנה » Data Operations Manager

We are looking for a highly motivated Data Analytics Team Leader to manage and lead a team of three analysts.

In this role, you will be responsible for driving data-driven decision-making across the organization by initiating and managing data projects, analyzing key metrics, and presenting actionable insights. You will also mentor, develop, and recruit top analytical talent while ensuring the team effectively leverages SQL, BigQuery, and Looker to deliver high-quality analyses.

A day in the life and how youll make an impact:
Lead and manage a team of analysts, fostering a culture of collaboration and continuous learning.
Initiate and oversee data analytics projects to drive business impact.
Perform in-depth data analysis to uncover insights and trends that support strategic decision-making.
Present data-driven insights to senior leadership and key stakeholders.
Mentor, train, and develop analysts, ensuring their professional growth.
Recruit and onboard new analysts to strengthen the team.
Utilize SQL and BI tools (preferably BigQuery and Looker) to extract, transform, and visualize data.
Collaborate with cross-functional teams to align analytics with business needs.

We are looking for a Data Analytics Team Lead to help scale our analytics capabilities. This role requires a hands-on leader who will be deeply involved in analyzing data, building classification intelligence, and owning data products and processes. As a Team Lead, you will also work closely with business stakeholders to define KPIs, implement scalable data practices, and mentor a growing team of analysts.

The role is part of the R&D Data team, which is responsible for our data classification capabilities, including blending ML, LLMs, and robust analytics to process millions of files and tables per day.

Responsibilities:
Manage, mentor, and support a team of Data Analysts.
Play a central role in our core mission, working closely with Engineering, Research, Sales, and Customer Success to align priorities and deliver meaningful insights.
Create rules and models to broaden our repertoire of sensitive data classes, from knowledge acquisition to writing production code.
Develop and own robust success metrics for classification performance; monitor, evaluate, and iterate.
Analyze vast datasets spanning multiple organizations, cloud environments, and data technologie.
Create processes and tools that will allow non-technical stakeholders to have a clear view of scanning and classification KPIs.
Make the most of our enormous amounts of data to help drive product and R&D decisions.
Work from within the R&D Data group, take part in the discussions revolving around our data science objectives, priorities and solutions.

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.

As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
youll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.
Unlike most publicly traded companies, were nimble and efficient. We take pride in the fact that we still think and operate like a startup. We dont care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.
Were built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We dont like spending our days in meetings and we skip committees altogether. theres no such thing as going over someones head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.
As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.
What youre applying for
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

We are seeking a Senior Data Analyst to join our team and take a leading role in shaping the future of our data science. We need your CTO-grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.

Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people.

The Data Science Team Leader at Product will report to the VP Product.

What Youll Do:
Be a Prisma Photonics technology expert understand the ins and outs of how our products work.
Understand the physics underlying each product feature, devise the method by which the feature operates, and work with R&D to build, improve and deploy it.
Create our Data Product offering build a set of reports and recommendations to customers, exposing the value of the underlying technology.
Analyze customer data and field deployments to identify edge cases, improve models, and drive continuous product improvement. Bridge the gaps ad-hoc to bring immediate customer value, using AI and data analytics skills, as well as collaborating with R&D, Product, and AI teams.
Implement algorithmic solutions to solve urgent issues, with a clear path toward production deployment.
Once the business need arises and team expansion begins, take an active role in hiring, mentoring, and leading a team of data scientists and analysts.

We are looking for a skilled and experienced Business Analytics Manager to join us:
Responsibilities:
Collaborate with the functional departments to develop a set of OKRs and KPI-driven data stories tracking and evaluating the planning and execution processes of the department.
Develop with management a set of dashboards and reports to track and analyze the departments OKRs and KPI-based data driven stories in real time.
Design with the department and management a set of triggers with actions around the data stories
Design with the department data-driven planning and execution business processes using the data stories and triggers
Develop a system that implements the data stories and makes them available to all members of the department based on role and responsibility
Train the department in using these tools to implement the planning and execution processes.
Iterate with the department around the system capabilities and continue to evolve it in lock step with the evolving business needs
Address point data and analytics needs from the department as they arise
Develop a system for management that implements the dashboards and reports, allowing for real time tracking of the business as well as the business processes with early warning triggers
Promote the use of new tools, and in particular AI, to enhance the Analytics capabilities provided to the departments
Develop shared methodologies and tools between the BAs in the team
Hire and manage a team of Business and Data Analysts to cover all departments in the organization and allow for a vertically integrated service. From a business objective to a data story to a process and a working system to support it.

Required Director R&D, Shopper Intelligence
Tel Aviv, Israel
We empower the worlds leading brands to win online. Our digital intelligence solutions offer unmatched visibility into the online world, enabling smarter, faster growth. A key part of this mission is the Shopper Intelligence solutionhelping eCommerce leaders unlock insights into digital shelf dynamics, pricing strategies, and shopper behavior across marketplaces and retailers.
About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of our most strategic offerings.
You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.
What Youll Do
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.
Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.
Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.
Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.
Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.
Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.
Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.
Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.
Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).
Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.
Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.
Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.
Team Management & Culture
Build, coach, and scale teams of highly capable tech leads, senior engineers, and data scientists.
Establish a strong engineering culture focused on innovation, quality, ownership, and continuous learning.
Partner across functions to ensure alignment between technical capabilities and product/market strategy.

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 In our day-to-day work, we design and maintain reliable data pipelines using Python and modern orchestration frameworks to move and transform raw data from a variety of sources. This includes working with APIs, event streams, and databases to ingest and process data at scale. We implement and maintain models, manage complex data transformations, and collaborate closely with other teams to ensure that the right data is available at the right time. Whether we're tuning a performance, debugging a transformation step, or shipping an AI-driven feature, every day is a chance to build something impactful.

Were looking for a data obsessed professional eager to extract insights from data to create more value for us and our customers.
This position will include responsibilities for both our data integrity, and generating business and product insights based on data.
What youll be doing:
Financial Integrity: Ongoing responsibility to ensure data integrity across all systems.
Monitors: Develop monitors to ensure ongoing data integrity.
Data Visualization: Build insightful tools, dashboards, and complex reports.
Decision-Support: Be involved in key decision points and assist various teams in making thoughtful, data-driven decisions
Support Machine Learning Initiatives: Collaborate with our data science team to develop ML models and ensure the quality and reliability of data.
Strategy and Product Growth: Partner with product and business professionals to establish data-driven policies and strategies.

we are looking for a Data Analyst
What will you do?

Analyze large datasets and translate data into actionable insights for product and business improvements.
Create data visualizations and presentations to communicate insights effectively.
Identify and resolve data quality issues to ensure data accuracy and consistency.
Identify trends, correlations, and anomalies in data to support decision-making.
Evaluate the strategic impact of new data initiatives and work with business leaders to align them with company growth objectives.
Answer critical business questions by mapping, tracing, analyzing, and visualizing data.
Coordinate with data engineers and BI developers to gather new data points or create custom data frameworks for analysis.
Communicate with cross-functional teams (Marketing, Sales, Finance, Product, Engineering) to define data needs and provide analytical support.