We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

We are looking for a Data Analyst with strong Python and engineering capabilities to join our Data team.

This is not a traditional analytics role - it combines data analysis with hands-on development. You will work extensively with Python as part of your day-to-day work, building scalable data processes, evaluation frameworks, and classification logic that directly impacts our product.

Our team works on large-scale data systems, leveraging ML capabilities such as NER and LLMs, alongside robust engineering and analytics to deliver insights across millions of files and tables daily.


Responsibilities
Design and implement data classification logic to expand coverage of sensitive data types, owning the process end-to-end - from research and analysis to production deployment
Develop Python-based workflows and tools for data processing, evaluation, and automation
Build and maintain data pipelines and monitoring systems to track product performance and data quality
Create automated frameworks to evaluate and benchmark model performance
Collaborate closely with R&D and take part in discussions around AI/ML solutions and product direction

We are looking for a hands on, proactive, and impact driven Senior Business Analyst to join our data team. In this role, youll shape how the company measures success and help embed a strong data driven culture across every domain, from business operations to product, finance, and beyond.

This is an opportunity for someone who thrives in dynamic, fast changing environments, loves building from scratch, and is just as comfortable running deep analyses and leading cross functional measurement discussions as they are partnering with data engineering to design scalable data models that empower the entire organization.

In this role you will
Collaborate with cross functional teams to understand business objectives and develop data driven solutions
Lead measurement and metric discussions with diverse stakeholders, translating needs into clear, consistent, and actionable definitions
Conduct deep dive analyses to uncover insights and deliver impactful recommendations
Partner with data engineering to design scalable data models and improve data accessibility
Build clear, intuitive dashboards and reports to track performance and enable self serve analytics
Proactively monitor business metrics and provide timely insights to optimize operations and identify opportunities
Promote a data driven culture by empowering teams to use data confidently in decision making
Mentor teammates and contribute to the growth and maturity of the data function

We are seeking a Data Analyst position, with a passion for technology, to solve unique problems within our measurements. 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.

We are looking for an experienced Backend Developer with a passion for data to join our big data group.
Job Id: 25074
As a member of the team you will be a part of a fast, highly-scalable and fully managed data platform which handles terabytes of data per day in a cloud environment.
We are looking for an engineer who will work with multiple technologies stack: Kafka (Azure Event Hub), Kubernetes, Function Apps, Azure Data Explorer, MongoDB, etc.
Using several coding languages like Golang, NodeJS (TypeScript), and Python.
We are required to write efficient code that supports large-scale distributed systems.
Key Responsibilities
Design and build new solutions/features to help our customers improve their cloud security.
Gain experience with new technologies and languages, develop challenging solutions, and have a great opportunity to grow and create impact.
Constantly Improve existing implementations.
Adapt and take on more responsibilities and own your share of the product.
Work with product managers, business, and other teams.

as a revenue operations manager, you'll be at the heart of aligning our gtm teams by managing processes, operations, and analytics. you'll turn complex datasets into actionable growth strategies, own the integrity of our revenue funnel, streamline workflows through automation, and deliver insights that guide our next steps. your goal is to ensure data clarity and operational efficiency across the entire customer journey-from initial lead to long-term retention.
maintain a "single source of truth" by managing database hygiene, lead routing, and the end-to-end lead-to-cash process
administer the tech stack and design scalable integrations between the CRM and third-party tools like gong and zoominfo/clay, ensuring minimal data friction
identify bottlenecks in the sales funnel through data analysis and implement automated workflows to boost team efficiency
build and maintain dashboards to track north star metrics, providing proactive insights to leadership and gtm teams
deliver weekly reports on pipeline health, sales velocity, and churn trends
drive team adoption of tools, processes, and integrations through data -backed training sessions and documentation
we're a newly acquired part of the company, on a mission to redefine how software is built. our ai-powered platform enables anyone to create custom software applications using natural language-no coding required. operating like a startup within the company, we're fast, collaborative, and focused on solving complex problems with simple, powerful solutions.
we exist to empower creators, solo founders, startups, entrepreneurs, and side hustlers to bring their ideas to life. whether you're launching a product, validating a concept, or exploring a new idea, we are here to help you build it.
we're growing rapidly, the potential is immense, and with your expertise, we can drive user-driven growth to new heights.

As our Senior Data Engineer you will handle Big Data in real time, and become the owner and gatekeeper of all data and data flows within the company. You will bring data ingenuity and technological excellence while gaining a deep business understanding.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.



What Youll Do:

Implement robust, reliable and scalable data pipelines and data architecture.
Own and develop DWH (Petabytes of data!).
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring.
Collaborate with cross-functional teams to define, design, and ship new features.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Develop tailormade solutions as part of our data pipelines.
Lead complex Big Data projects and build data platforms from scratch.
Work on a high-scale, real-time, real-world business-critical data stores and data endpoints.
Implement data profiling to identify anomalies and maintain data integrity.
Work in a results-driven, high-paced, rewarding environment.

We are hiring an experienced Product Analyst to join our data team. As part of this position, you will work closely with our product groups and you will take a significant part in decision making and proactively guide our business growth, based on data analysis and statistical research. You will work independently and as a team member on the most interesting and innovative analysis that is available in the online industry. This is a unique opportunity to join our analytical team.
 
What am I going to do?:
* Analyze and derive actionable optimizations with the goal of improving User Experience.
* Provide supporting data for prioritizing new features and initiatives.
* Plan, monitor and analyze AB tests for new features.
* Make data accessible by well-defined tracking and processes.
* Create optimal monitoring and visibility by building reports, alerts, and dashboards.
* Manage multiple tasks at a time in a fast-paced environment.
*  data and analysis focal point of product & engineering teams.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

As part of the team, you will be responsible for developing, testing, improving, and maintaining new and existing solutions to help users retrieve data effectively.
What am I going to do?:

* Build and maintain ETL processes to integrate data from various sources.
* Transform and model data models, design the schemas, and maintain the data layers within the data warehouse using dbt
* Manage the data warehouses to support analytical reporting and Real-Time needs.
* Develop, optimize, and manage database entities.
* Translate business requirements into data model implementations.
* Ensure data accuracy and enforce governance policies through data quality checks and validations.
* Work closely with cross-functional teams, including data Engineers, Business Analysts, Products, and RND, to gather and understand data requirements and implement development in order to support their data needs
* Evaluate and implement new tools and technologies to enhance data processes and capabilities.
* Coordinate and deliver data development projects, ensuring they are completed on time and meeting quality standards.
* Identify and resolve data -related issues and discrepancies. Provide support for data incidents and troubleshoot problems as they arise.
* Stay updated with the latest trends and technologies in the data filed
* Suggest design, product, and process changes for better efficiency and effectiveness.
Equal opportunities:
At our company, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, our company will provide accommodation to individuals with disabilities or a special need.

As a Data Analyst, you will work with multiple stakeholders - Product Managers, Data Engineers, Software Engineers, Data Scientists and more, to help us make more from our data.

Our mission is to empower security teams to safeguard their SaaS-Identity risk landscape. our company discovers and classifies risk across SaaS and web apps, uncovering risk prone identities and accounts to close security gaps, prioritize access controls, and achieve continuous SaaS and identity compliance.

Responsibilities:
Take part in our features development process - building warehouse models and writing our data catalog.
Leading long term research to provide innovative insights for our product.
Define and implement data processing and operative workflows.
Work with relevant stakeholders to define how our system should be monitored and how root causes of underperformance can be identified.
Contribute to a culture of learning and knowledge-sharing within the team.