דרושים » תוכנה » data Analyst

We are looking for a talented and experienced Data QA Engineer to join our data team. In this role, you will be responsible for ensuring the quality of the data we collect from websites. You will work closely with the development team, data analysts, Project Managers etc. to ensure that the data meets the highest standards of accuracy, integrity, and consistency.
Responsibilities
Planning, developing, and executing comprehensive test scenarios for data clients, that are based on public Web data:
Designing tests for client data needs, based on manual and automated methods
Performing manual and automated testing of data - integrity, accuracy etc.
Leveraging SQL to retrieve and analyze data from various databases
Documenting and tracking bugs and data quality issues
Analyzing large data sets to identify trends, anomalies, and potential problems
Communicating test findings clearly and effectively to various stakeholders
Defining QA standards and tools for partners developing data scrapers or performing basic QA testing for data:
Designing tests for different types of data being collected online
Building automated tests where relevant
Documenting methods and tools
Training the partners as needed
Validating the partner QA effectiveness
Developing and maintaining automated testing tools and scripts
Working closely with team members to ensure that the QA meets business and technical requirements
Staying updated with new testing technologies and methodologies.

Were looking for an inquisitive, detail-oriented Product Analyst to join our Platform Services data team. Youll play a key role in driving product development by collaborating with cross-functional teams and delivering actionable insights based on user behavior and product performance.

As a Product Analyst you will
Partner with product managers, developers, marketing, sales, and UX researchers to identify opportunities for improving product experience and trial conversion.
Analyze user behavior throughout the customer lifecycle from onboarding and engagement to feature adoption and retention.
Define KPIs and core product metrics; build scalable dashboards to support data-driven decisions.
Evaluate the performance of product features and trials, and identify areas for optimization.
Provide insights, onboarding improvements, and sales funnel refinement.
Communicate findings clearly with stakeholders using compelling data storytelling and visualizations.
Support data infrastructure by collaborating with data engineers to optimize data pipelines and ensure data reliability.

we are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance.
Were seeking a Data Tech Lead to drive technical excellence in data engineering and analytics. As the go-to expert, youll set the technical direction, optimize data pipelines, and tackle programming challengesclosing knowledge gaps, solving data-related questions, and streamlining operations. Youll also design scalable architectures, manage ETL workflows, and enhance data processing efficiency.
Key Responsibilities:
Oversee the technical aspects of data projects by making architectural and design decisions.
Streamline existing operations and implement improvements with the teams collaboration.
Guiding team members in technical matters, and supervising system modifications.
Conducting Code reviews for data analysts, BI Analysts and data engineers.
Bridge technical knowledge gaps within the data team, answering critical product-related questions.

We are looking for an expert Data Engineer to build and evolve the data backbone for our R&D telemetry and performance analytics ecosystem. Responsibilities include processing raw, large quantities of data from live systems at the cluster level: hardware, communication units, software, and efficiency indicators. Youll be part of a fast paced R&D organization, where system behavior, schemas, and requirements evolve constantly. Your mission is to develop flexible, reliable, and scalable data handling pipelines that can adapt to rapid change and deliver clean, trusted data for engineers and researchers.
What youll be doing:
Build flexible data ingestion and transformation frameworks that can easily handle evolving schemas and changing data contracts
Develop and maintain ETL/ELT workflows for refining, enriching, and classifying raw data into analytics-ready form
Collaborate with R&D, hardware, DevOps, ML engineers, data scientists and performance analysts to ensure accurate data collection from embedded systems, firmware, and performance tools
Automate schema detection, versioning, and validation to ensure smooth evolution of data structures over time
Maintain data quality and reliability standards, including tagging, metadata management, and lineage tracking
Enable self-service analytics by providing curated datasets, APIs, and Databricks notebooks.