לוח משרות דרושים Data Analyst משרה מלאה, לחיפוש זה נמצאו 131 משרות

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are seeking a Data Master 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 a part of the Supply Chain department and has matrix alignment with IT/MIS and Finance for data governance, ERP processes, and system alignment. Key Responsibilities: • Validate and maintain operational master data transferred from PLM to Oracle, including item master data, BOMs, product structures, units of measure, classifications, lifecycle statuses, and revisions. Complete and maintain the operational, planning, procurement, inventory, manufacturing, subcontracting/OSP, and financial attributes that are not managed in PLM. • Maintain inventory organizations and controls: warehouses, subinventories, locators, material statuses, lot/serial control, transaction controls, and material movement rules. • Maintain supplier, sourcing, and OSP data: supplier operational attributes, AVL/AML, sourcing rules, make/buy definitions, subcontracting suppliers, and OSP service definitions. • Maintain manufacturing data: departments, work centers, resources, routings, manufacturing operations, setup/run standards, production calendars, and shop-floor parameters. • Maintain planning and material parameters: lead times, safety stock, min/max levels, reorder rules, MRP rules, assignment sets, and replenishment settings. • Support NPI, ECO/ECR implementation, BOM releases, revision control, and alignment between engineering documentation and ERP operational data. • Define and enforce data standards, naming conventions, validation rules, approval workflows, ownership, and quality controls. Resolve duplicate, incomplete, inconsistent, or incorrect data. • Support ERP implementation, migration, cleansing, conversion, validation, UAT, standardization, automation, and ERP best practices with minimal unnecessary customization. • Key Interfaces: Material Management, Planning, Procurement, Engineering, Manufacturing Operations, Quality, Finance, IT/MIS, and external 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.
What You'll Do Own end-to-end analytics for core product areas: cost optimization, SLA, failure rates, and workload efficiency
* Define and instrument key product KPIs and dashboards used by engineering, product, and executives
* Build and maintain production-grade data pipelines and models on enterprise-scale telemetry (Databricks/Spark, logs, metrics, traces)
* Run deep-dive analyses and experiments to validate features and uncover optimization opportunities
* Partner with backend/ML engineers to translate complex multi-cloud performance metrics into actionable platform intelligence
What We Offer Top-of-market compensation + significant equity (above market standard) Direct ownership over core data infrastructure and product KPIs
* Work with founders, engineering leads, and global enterprise customers on mission-critical systems Small, high-impact team that values ownership, speed, and technical depth over process Ready to shape the data engine behind autonomous AI workloads? Hit Apply.

we are looking for a Research Infra Engineer.
As a Research Infra Engineer, you will build and operate the shared platforms that power cyber research: data ingestion, connectivity to internal/external systems, scalable analysis environments, and self-serve tools which allow the team moving faster.
Youll partner closely with CyberAI researchers to translate research needs into reliable, secure, cloud-deployed capabilities used across the group. Your goals are to reduces research-toil, improves reproducibility and code quality, and accelerates the path from prototype to shared capability.
The Responsibilities:
Design, implement, and iterate on internal platforms that support research workflows (e.g., data ingestion, enrichment, indexing, search, labeling, evaluation harnesses, experiment tooling).
Develop durable pipelines and connectors to bring in and normalize research data sources.
Create reusable libraries, templates, CLIs, and services that enable researchers to run analyses and experiments safely and repeatably.
Own deployments, reliability, observability, access control, and cost/performance of the research stack so its usable by all researchers.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Were looking for a data-driven and business-savvy Analyst to join our growing data team.
In this role, youll work closely with our Marketing, Finance, and Sales teams to analyze performance, connect marketing and financial data, and build models that support strategic decisions.
Youll play a key role in translating data into clear business insights that drive growth, efficiency, and profitability.
Key Responsibilities
Partner with Marketing, Finance, and Sales teams to analyze performance, efficiency, and ROI.
Evaluate UA spend, ROAS, and growth metrics across channels, campaigns, and regions.
Build and maintain dashboards and reports in Cursor, Tableau and Looker to track key business and financial KPIs.
Develop and maintain risk models that help guide company decisions and improve forecasting accuracy.
Conduct cohort and funnel analysis to identify performance trends and growth opportunities.
Collaborate with Data engineering and finance teams to align top level metrics with company financial reporting.
Present actionable insights and recommendations that influence both strategy and operations.

we are looking for a Data Analyst.
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 Autofleet 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.

we are looking for a Data Analyst.
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.

abras CRM Division is hiring a CRM system Analyst to join our team in Haifa! We are looking for an experienced system Analyst to join a team responsible for the specification and development of the digital assets of a leading energy company, working in a complex organizational environment with multiple interfaces. The role includes analyzing business needs, defining business processes and system requirements, writing functional and technical specifications, and leading solutions from requirements through implementation, with a strong focus on Microsoft Dynamics 365 CRM and integrations with the organizations digital assets. Key Responsibilities:
* Gather and analyze requirements from users and business and technology stakeholders.
* Write functional and technical specification documents.
* Define business processes and translate them into system requirements.
* Specify solutions and customizations in Microsoft Dynamics 365 CRM.
* Define interfaces and integrations between CRM, core systems, and digital assets.
* Work with websites, forms, and digital customer service processes.
* Collaborate closely with development teams, QA, project managers, and business stakeholders.
* Lead and support development, testing, implementation, and go-live processes.
* Handle changes, enhancements, and improvements to existing systems.

We are seeking a Data Engineer with strong technical expertise and a business-oriented mindset to lead end-to-end data, automation, and AI solutions. The role requires the ability to understand business needs and translate them into scalable, reliable technology solutions.

The successful candidate will design, develop, and maintain data pipelines, automation processes, analytics, and AI-enabled solutions that drive operational efficiency and data-informed decision-making. Strong collaboration, teamwork, and communication skills are essential, including fluency in English and the ability to work effectively with both technical and business stakeholders in a local and global environment.

Experience with Microsoft technologies (e.g., Azure, Power Platform, Power BI, Copilot) is a strong advantage. The position combines hands-on data engineering with automation, analytics, and AI innovation.

Required Analytical consultant, LCS
About the job
Businesses of all shapes and sizes rely on our unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both us and customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust us with their most important goals.Our Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how we can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling our full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive our growth.
Responsibilities
Be the trusted advisor to customers, uncovering their business and marketing objectives and using insights to accelerate their attainment of their objectives.
Create bespoke insights analyses for our biggest customers to identify opportunities to better meet their business objectives and help them make better decisions.
Scale insight best practice from the biggest customers to the rest of the customer portfolio via trainings, processes, narratives and templates.
Co-own at least one area of learning and innovation such as Search/Video as a selling machine for customers, or branding insights, AI for analysts.

Were looking for a sharp and experienced Business Data Analyst to join our Marketing Analytics team. Someone who is deeply passionate about data and turning raw data into clear and actionable insights. With your strong analytical and technical skills, youll help tell the story behind the numbers and better understand how players interact with our games.
Responsibilities:
Analyze end-to-end user journeys from a marketing perspective across all existing titles and future studio launches, using complex datasets, AI tools, and statistical modeling
Own the portfolio-wide marketing analytics ecosystem including collecting, analyzing, reporting and tracking of marketing activities
Optimize user acquisition efforts cross games while creating solutions to the industrys day to day challenges
Apply predictive analytics methods in order to help establish strategic business recommendations
Provide actionable insights to multiple stakeholders across the organization through strategic and operational researches
Build and maintain the marketing data pipeline while creating models and dashboards to help make informed decisions quickly while empowering others to have information readily accessible
Utilize advanced AI workflow tools (e.g., Claude, Cursor, LLMs) to improve workflows and increase efficiency
Collaborate with other teams such as UA (User Acquisition), Product, Monetization, BI, DS, Finance, and more through significant projects.

We're looking for a sharp and passionate Business Data Analyst to join our top-notch business analytics team. Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers and to understand how people interact with our products.
Responsibilities:
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large, complex data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business decisions.
Work closely with Product, Monetization and management, be proactive and provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps and business strategies.
Plan and analyze effective A/B tests in order to improve business KPIs.
Balance and monitor flows from all the features in the game.
Measure and improve performance of promotions and live-ops for each segment.
Build reports and dashboards to monitor product performance, key business metrics and players experience.

Were looking for a Senior Business Analyst to shape and scale our analytical capabilities across the organization.
This role is responsible for building the analytical foundation that enables trusted decision-making, consistent business metrics, AI-powered analytics, and self-service adoption. Working across multiple business domains, you will define standards, improve how analytics is consumed, and help transform analytics into a strategic business capability.
Job responsibilities
Define and maintain analytical standards, business metrics, and KPI governance across domains.
Drive the evolution of the organizations semantic layer and analytical framework.
Lead cross-functional initiatives to improve the consistency, quality, and scalability of analytics.
Partner with business stakeholders to translate complex processes into trusted analytical assets.
Drive AI adoption within the analytics organization by defining best practices, playbooks, and new ways of working.
Enable self-service analytics by improving data discoverability, documentation, and user experience.
Build reusable frameworks, templates, and methodologies that increase efficiency across the analytics team.
Identify opportunities to simplify analytical workflows and improve delivery quality.
Mentor analysts and promote analytical excellence across the organization.
Act as a thought partner for leadership on analytics strategy, governance, and future capabilities.

Were looking for a curious, ambitious and self-motivated Product Economy Manager to join our growing Product team. As a Product Economy Manager, youll directly impact millions of our players by creating tools that enable you to balance and optimize the game's economy, resulting in fun and engaging experiences that increase retention and revenue.
Responsibilities
Design and own the user experience from an economy point of view to predict our players behavior according to the data we already have.
Build simulations and predictive models in order to proactively forecast results of content changes.
Monitor individual and macro player balances to ensure the overall health of the games economy.
Explore and design gameplay loops and the way players interact with them.
Tune content performance by devising A/B tests and analyzing their effectiveness.
Identify areas where sinks/sources should be tightened or loosened to maximize engagement, retention and revenue.
Price the games virtual currencies.
Collaborate with Product teams on balancing and designing new features that address existing deficiencies in the game.

CodeValue is looking for a Drools / DMN Expert to join a large-scale Enterprise project in the banking and financial services domain. The role focuses on business rules, decision management, and the design of complex decision logic that supports critical banking processes. What You'll Do
* Design and implement business rules using Drools.
* Model business decisions using DMN.
* Design and maintain Decision Tables.
* Translate complex business logic into maintainable rules.
* Separate business rules from application logic.
* Collaborate with analysts, architects, developers, and business stakeholders.
* Support the evolution and optimization of decision management solutions.
Location: Rishon LeZion Work Model: Hybrid – 4 day per week on-site