לוח משרות דרושים Data Analyst, לחיפוש זה נמצאו 87 משרות

Were Looking for a Product Analyst - Join Our Data Driven Journey!
As a data-driven organization, insights from our Data Team are essential to shape our strategy and improve the experiences of our customers. Were looking for a highly motivated data analyst to join our team and work in a dynamic Big Data environment.
You are detail-oriented, analytical, and passionate about understanding user behavior. In this role, youll turn data into actionable insights, influence product decisions, and help drive the success of our platform.
Key Responsibilities:
Analyze user behavior: Monitor and evaluate website activity patterns and user flows to enhance usability and customer experience.
AB Testing: Conduct in-depth analysis of AB tests to provide stakeholders with actionable, data-driven recommendations for product and user value enhancements.
Metric Monitoring & Insights: Track product performance metrics, identify trends, and raise alerts on significant changes. Perform periodic and ad-hoc analyses to recommend impactful solutions.
Visualization & Reporting: Create and maintain dashboards, reports, and daily summaries that present key SaaS metrics and actionable insights.
Collaborate Cross-Functionally: Work closely with teams across Product, Marketing, Customer Success, Finance, and Management to support data-driven decision-making.

OurCrowd is seeking a highly organized, detail-oriented, and proactive Portfolio Management Analyst to join our Portfolio Management team on a temporary basis (6–8 months) as maternity leave cover. In this role, you'll provide hands-on operational and analytical support to the team. You'll keep portfolio data, reporting, and internal processes running smoothly across a diverse portfolio of innovative startups, with a focus on MedTech. This is an excellent opportunity to gain exposure to venture capital and portfolio management from the inside. This is a hybrid role, requiring three days in the office one day per week in our Jerusalem office and one day per week in our Tel Aviv office, and the third is flexible ; therefore, the position is posted in both locations.
The contract would go from January 1, 2027 until September 30, 2027 , with the potential to transition into a permanent role based on performance and business needs.

Responsibilities:
Maintain and update portfolio company records, KPIs, and performance data across internal systems and CRM. Track portfolio company updates, financial reports, and key milestones, and flag items that need the team's attention. Prepare quarterly updates, performance reports, and internal materials, ensuring accuracy, consistency, and clarity. Assist with data collection and analysis for due diligence processes. Support the team with financial analysis, data gathering, and market research as needed. Coordinate logistics for board meetings, portfolio reviews, investor updates, and internal meetings, including scheduling, materials, and follow-ups. Manage document flow and records, including shareholder documents, reporting requests, and internal approvals. Partner with legal, finance, marketing, and other cross-functional teams to keep investment and portfolio processes moving smoothly. Help maintain and improve internal workflows, templates, and trackers to increase team efficiency. Provide day-to-day support to the Portfolio Manager on ad-hoc projects and priorities.

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are looking for a motivated and experienced Supply Chain Master Data Specialist to join our team! The Data Master is responsible for the governance, accuracy, and maintenance of core business data across ERP systems, including Oracle Cloud ERP where applicable. The role ensures high-quality master data to support seamless business operations and reliable transactional processing across Supply Chain, Operations, Finance, and customer-related processes. The position is part of the Supply Chain organization and has matrix alignment with IT/MIS and Finance for data governance, ERP processes, and system alignment. Key Responsibilities 1. Master Data Management:
* Maintain and update core master data entities, including Items, suppliers, BOMs/product structures, price lists, accounts, and customer-related data.
* Ensure data accuracy, completeness, and consistency across ERP systems, and support ongoing data cleansing and standardization initiatives. 2. Data Governance & Quality Control:
* Define and enforce data governance policies, standards, naming conventions, validation rules, and approval workflows.
* Monitor data quality, including duplicates, completeness, and consistency, and support data ownership and control processes across business functions. 3. Cross-Functional Coordination:
* Serve as the focal point between Supply Chain, Finance, and IT/MIS for data-related topics.
* Support business users in data setup and issue resolution, and align data structures with ERP best practices while minimizing unnecessary customization. 4. ERP Implementation & Migration Support:
* Support ERP implementation and enhancement projects, including data extraction, cleansing, transformation, loading, validation, and UAT.
* Ensure migrated and new data is ready to support business operations before deployment. 5. Operational Support:
* Ensure timely data availability to support orders, procurement, planning, production, inventory, customer, and finance-related transactions.
* Troubleshoot master data issues impacting business processes and continuously improve data processes and automation opportunities. Key Interfaces:
* Material Management, Planning & MRP, Procurement, Warehousing & Inventory Control, Manufacturing & Factory Operations, Engineering and Quality, Finance, IT/MIS, External vendors and ERP implementation partners

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a Data Analyst to own the intelligence layer on top of Zipher’s autonomous execution engine. You will turn enterprise-scale telemetry from production data and AI workloads into the metrics, models, and answers that engineering, product, and executives run on.
What You’ll Do
* Own end-to-end analytics for core product areas: cost optimization, SLA, failure rates, and workload efficiency
* Define and instrument the product KPIs and dashboards used daily by engineering, product, and the executive team
* Build and maintain production-grade data pipelines and models on enterprise-scale telemetry — Databricks/Spark, logs, metrics, and traces
* Partner closely with backend and ML engineers to translate complex multi-cloud performance data into actionable platform intelligence
* Run deep-dive analyses and experiments that validate features, quantify impact, and uncover new optimization opportunities
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity
Ready to build the data engine behind autonomous AI workloads? Hit Apply.

An Israels leading provider of SaaS-based software solutions for comprehensive Human Capital Management, is seeking for an experienced System Analyst to join an innovative team focused on developing and implementing AI-based solutions. This role involves leading end-to-end system analysis processes for complex systems, working closely with development, data, and business teams.



Responsibilities:

Analyze business needs and translate them into functional and technical specifications
Define and design AI-based systems
Collaborate with stakeholders including business users and development teams
Support development, testing, and implementation processes
Define and document system integrations and APIs