לוח משרות דרושים Data Analyst משרה מלאה, לחיפוש זה נמצאו 93 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

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 Big Data Analyst Customer Facing (Data Labs) at Similarweb 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 Similarwebs 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.

We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of an ML & Big Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of our data and algorithms.
Utilize your deep understanding of our data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

We are seeking an experienced and dynamic medical data analyst to join our company. This role will focus on the integration of real-world data (RWD) into the company marketplace and executing research and analysis on that data. The position involves close collaboration with the medical and epidemiological team, contributing to the development of internal frameworks and processes, and working alongside the Product and R&D teams.
Integration of new data providers/sources to the company marketplace and configuring their data to be onboarded to the company Marketplace (using FHIR/OMOP format)
Testing and validating that the data that is onboarded to the company Marketplace is standardized and harmonized across all sites. And creating process and infrastructure to keep all configuration up to date.
Supporting the company dynamic datasets product which are RWD mastersets that are being used for sales and marketing efforts and are on of the main products.
Facilitating feasibility tests and research on top of the company Marketplace to enhance the sales process and and ensuring the delivery of data requests and analyses.
Close contact with key stakeholders in the organization: Medical lead, Product, R&D team leaders, to make our product better and be able to deliver value to our customers.

We are seeking a talented, highly motivated and detail oriented individual to join our team. This position will join our Crossix Data Platform team and will own data analysis and quality checks to ensure high standards of our Pioneer product.
Pioneer serves as the centralized, scalable pre-analytics data hub that ingests, cleanses, and standardizes billions of raw media exposure data records (from direct publisher feeds like 1PC, site tags, and TV) into a unified data schema, enabling downstream matching against de-identified health data to measure marketing effectiveness for pharma campaigns.
This is a great opportunity for someone who is excited about taking part in building high quality data products and working closely with product and engineering teams towards successful execution.
What You'll Do
Plan and execute user acceptance testing for Pioneer, including functional checks and data quality checks
Create and manage dashboards to track the data KPIs - volumes, breakdowns, trends, platform throughput
Provide 2nd level support to production issues and take part in investigating data issues
Act as a liaison between Analysts, Product Management, and Dev to ensure our data products are built and delivered with quality
Identify opportunities for improving data quality to ensure data maintains high quality standard.

We seek a highly skilled Technical Competitive Intelligence Analyst to analyze and evaluate competitors' products. This role includes understanding our competitors' technical landscapes and providing insights that inform product roadmap, enhance our competitive positioning, and drive innovation in data security solutions.
What Youll Do:
Conduct in-depth technical analysis of competitor products, including architectures, technology stacks, and key features.
Gather and synthesize competitive intelligence from field input, customer feedback, analyst reports, and public sources to validate or counter competitor claims.
Monitor and track competitors product updates, announcements, and strategies.
Partner closely with R&D, Product Management, and Sales to identify differentiation opportunities and inform roadmap decisions.
Develop technical competitive assets, including deep-dive reports, battlecards, and technical comparisons, to support all relevant teams across the company.
Assist in creating and verifying technical benchmarks to assess products against competitors.
Proactively identify future competitors, market disruptors, and technical risks before they become visible in the field.

We are looking for a BI & Data Solution Analyst to lead the organization's data transformation journey. Our Data & BI team is in the midst of a technological transformation, moving to a modern data platform based on Microsoft Fabric, Snowflake, dbt, and Power BI, enriched with AI and Copilot capabilities. We are seeking a data professional with strong business acumen who will lead the strategic migration from QlikView to Power BI and help shape the organization's analytics solutions for years to come.
Lead end-to-end Data & BI solutions, from business requirements gathering through development, implementation, and adoption.
Closely collaborate with business stakeholders and end-users, building advanced data models, and enabling data-driven decision-making.

Required Data Analyst
Description
We're transforming the way fleets operate by leveraging data, automation, and AI to power smarter mobility. As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.