דרושים » ניהול ביניים » data Analyst

We are seeking a highly skilled Business Analyst for our Order Management group with deep expertise in data analysis, visualization, and quantitative research-ideally within enterprise software environments.
The ideal candidate is a clear and confident communicator, capable of translating complex information into clear insights through analysis, visualization, and system design.
Bring a proactive mindset, strong cross-functional collaboration skills, and the ability to lead data-driven initiatives from concept to execution with minimal oversight.
How will you make an impact?
Design and implement Key Performance Indicators (KPIs) that effectively measure and align with the strategic objectives of Order Management
Design, build, and maintain dashboards, reports, and metrics to monitor group and business performance.
Ensure data integrity and validity across all platforms and systems.
Analyze complex datasets to identify trends, patterns, and actionable insights.
Collaborate with cross-functional teams (External vendors, Sales Ops, Finance) to define and support contract lifecycle management metrics.
Translating business requirements into system specifications and managing implementation from start to finish

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity - someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value
How will you make an impact?
Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
Own and manage the cloud data warehouse - schema design, performance tuning, and access control
Manage data ingestion workflows connecting diverse data sources to the central data platform
Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently.
We also value genuine intellectual curiosity - someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value
How will you make an impact?
Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
Own and manage the cloud data warehouse - schema design, performance tuning, and access control
Manage data ingestion workflows connecting diverse data sources to the central data platform
Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

We are looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.

What you will be doing:

Plan and build complex cluster and supercomputers in various of data center and labs.

Rack stack and cable management to ensure efficient use of space and easy maintenance.

Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization.

Data centers and labs daily operation and support.

Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI.

Perform troubleshooting - network, optic cabling, bare metal, operating system.

Support Research & Development activities.

Were looking for an experienced and versatile BI Data Analyst to join our BI & Analytics team. In this role, youll partner closely with stakeholders across Sales, Marketing, Product, and Finance, owning analytics projects end-to-end from scoping to delivering insights, dashboards, and recommendations that drive measurable outcomes.
Responsibilities
Own end-to-end analytics projects: collaborate with stakeholders, define success metrics, and provide actionable recommendations
Translate business needs into metric definitions and data models; build reliable reporting layers and maintain clear documentation
Design, build, and maintain BI dashboards (e.g. funnels, KPI monitoring), ensuring accuracy, clarity, and adoption
Conduct deep-dive analysis to identify trends, anomalies, root causes, and growth opportunities across key business areas
Drive automation and operational improvements by leveraging AI/LLM tools alongside scripting in SQL/Python, including building a governed semantic layer and an LLM "ask data" interface
Communicate insights to technical and non-technical audiences, influencing strategic decisions through clear, data-backed storytelling.

we are seeking an experienced Product Owner focused on the Analytics domain of our X‑Sight platform. This role owns the execution and iterative improvement of capabilities to achieve the analytics vision-including risk scoring, detection model development, insights frameworks, and analytical workflows that support Financial Crime and Compliance outcomes.
The Analytics Product Owner will define and prioritize requirements that elevate decisioning accuracy, expand analytical coverage, increase explainability, and improve model and rule operationalization.
You will work closely with Data Science, Engineering, Cloud Ops, Customer Success, and cross‑product stakeholders to deliver reliable, scalable, and innovative analytics capabilities across our multi‑tenant SaaS platform-ensuring they meet the expectations of a modern FCC analytics ecosystem.
How will you make an impact?
Define and refine the roadmap and backlog for the Analytics domain.
Translate market needs and requirements into clear epics, features, and user stories.
Partner with Data Science and Engineering to design and deliver analytics capabilities.
Enhance model lifecycle management, versioning, and monitoring workflows.
Collaborate with Cloud Ops to ensure scalability, cost‑efficiency, and reliability.
Establish KPIs, monitoring signals, and quality checks for analytics reliability.
Work with Support and SMEs to reduce friction and improve analytical clarity.
Contribute to documentation, demos, and enablement for analytics enhancements.
Ensure alignment with multi‑tenant SaaS architecture and governance models.
Collaborate cross‑functionally to deliver new analytic innovations.