לוח משרות דרושים Data Analyst משרה מלאה, לחיפוש זה נמצאו 130 משרות

End-to-End Delivery: Lead complex Information Systems projects from end to end, including all lifecycle stages (initiation, planning, execution, monitoring, and closure/maintenance).
Problem Solving: Find creative and effective solutions for complex technical and business challenges.
system Implementation & Configuration: Manage and implement salesforce configuration tasks, including validation rules, approval processes, workflows, and flows.
Global Support & Enhancement: Work closely with international teams to provide system support, training, gather feedback, and implement system enhancements.
Reporting & Analytics: Create rich, actionable analytic reports for various teams and management.

We are seeking a highly motivated and skilled Python Data Solutions Specialist to join our team. This role will play a key part in supporting and scaling our data infrastructure, automating processes in data-labeling operation, and driving innovation through AI and analytics tools.
This is a temporary position for 8 month.
What will your job look like?
Working closely with operation teams, product managers, infrastructure teams.
Use statistical tools to achieve KPIs and business goals of operation projects.
Develop automation solutions for various operational processes
Support and implement GenAI-based workflows and tools
Troubleshoot and resolve data mismatches across systems
Conduct operational analysis for data-labeling, data products and pipelines
Integrate new tools and features into our database ecosystem.

Required Experienced Data Analyst
You will be part of our REM department. Our Road Experience Management (REM) is an end-to-end mapping and localization engine which is used for full autonomy capabilities and services.
Generating validation process and methodologies for such a technology giant is challenging, sufficient & enriching work.
Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities.
You will be responsible for defining and developing validation infrastructure, tools and methods using cutting edge technology and cloud-based application.
What will your job look like?
Participate in planning and implementation of advanced validation Processes
Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
Integrating new features into existing Validation Processes
Improving sensitivity, efficiency, effectiveness, and quality of validation processes
Management and prioritization of daily tasks
Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

abra R&D is seeking a proactive Digital Systems Analyst (Web & Mobile)! We are looking for a Digital Systems Analyst to join a digital transformation initiative focused on a rewrite of the company’s mobile application and website. This role involves working closely with business stakeholders, development teams, and UX to define requirements, shape system behavior, and support the delivery of modern, user?oriented digital products. Responsibilities
* The position includes collecting and analyzing business needs, writing functional and system specifications, defining user flows, supporting design and development processes, and overseeing the end?to?end execution of the app and website rebuild.
* The analyst will ensure alignment across teams, identify gaps, propose solutions, and contribute to the continuous improvement of digital services.

We're looking for our first dedicated Product Data Analyst to join our BI & Analytics team - a unique opportunity to own the product analytics function.
In this high-impact role, youll partner closely with Product leadership to spearhead product analytics end-to-end - from defining KPIs and scoping analyses to delivering insights, dashboards, and strategic recommendations that drive product growth, customer adoption, and measurable business impact.
Responsibilities:
Own product analytics across the user journey, including signup, activation, onboarding, adoption, retention, expansion, and churn.
Proactively identify product growth opportunities, adoption gaps, and customer journey friction points through deep analysis of product usage, funnels, and customer behavior.
Guide Product teams on resource allocation by identifying which products or initiatives should be scaled, optimized, deprioritized, or discontinued.
Analyze customer segments, usage patterns, conversion trends, retention impact, and PLG vs. SLG behavior to identify expansion opportunities and support product pricing strategy
Measure how feature launches, roadmap initiatives, experiments, and product changes influence customer behavior and key product/business metrics.
Partner with Product leadership to define and maintain product KPIs, metric definitions, event tracking requirements, and analytics documentation.
Build dashboards, recurring reports, and executive-ready analyses that provide visibility into product performance, segment health, and business impact.
Translate complex analyses into clear insights and actionable recommendations for Product, GTM, Finance, and executive stakeholders.

We are looking for a sharp and driven Data Solutions Analyst to join a newly formed team and help build the analytical foundations behind some of our strategic growth initiatives from the ground up. This is a unique opportunity to influence how new businesses operate and scale across Amazon, D2C, Paid Media, and emerging growth channels. You will have ownership over both the measurement frameworks and the solutions that drive business growth.

Working at the intersection of Data, Marketing, Product, and Business, you will identify opportunities, define success metrics, uncover insights, and build the solutions needed to turn those insights into action. This role combines analytical ownership with hands-on solution development, leveraging data, automation, AI, and modern tooling to solve business challenges end-to-end. Success in this role is measured not only by the quality of your analysis, but by your ability to translate business challenges into scalable solutions that drive measurable impact.

Roles and Responsibilities:
Build analytical infrastructure, measurement frameworks, and decision-support capabilities from the ground up for new and rapidly growing business units.
Evaluate performance across Amazon, D2C, Paid Search, Paid Social, and emerging channels, identifying growth opportunities, business risks, and areas for optimization.
Translate business challenges into scalable solutions by combining AI powered automation, agents, workflows, and building tools that drive business impact.
Design, build, and maintain dashboards, monitoring systems, analytical products, and self-service tools that enable teams to make faster and better decisions.
Own the Semantic Layer: Maintain and scale our unified BigQuery Semantic Layer, ensuring a single source of truth for business and analytics metrics.
Partner closely with Marketing, Product, and Business stakeholders to understand business needs and drive end to end solutions from idea to implementation.

We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.

Responsibilities
Manually tag objects in images with high accuracy and consistency.
Review and verify the accuracy of tagged data, making corrections as needed.
Work with predefined tagging guidelines and contribute to their improvement.
Collaborate with the machine learning team to understand tagging requirements and deliver datasets that meet project specifications.

Working on-site (office located in Tel Aviv).
Salary: 9,100 gross per month (50/hour, full-time), plus full social benefits, travel reimbursement, a 1,100 monthly meal card, and private health insurance after 3 months.

We are currently seeking an experienced Product analyst to join our new and growing Data & Analytics team in Tel Aviv!

As a key member of our core Data & Analytics team, you will work closely with decision-makers within the Product department. In this role, you will drive analysis into our business health and stand at the forefront of identifying actionable trends, challenges, and opportunities.

With limitless potential, you will help shape and prioritize our strategic decisions using data-driven insights and thoughtful, passionate recommendations. This isnt your typical analyst role, it is a highly visible position where you will help scale our operational cadence and grow into an influential leader within the company.

** This position is temporary for a duration of 8 months, with an option to extend

What You'll Own
Work closely with our Product Managers to monitor, measure, and drive clarity around product performance across both self-serve (B2C/PLG) and enterprise (B2B) user journeys.

Analyze complex, customer-reported data issues and collaborate closely with R&D and Product Managers to resolve them.

Build and maintain the companys core reports and dashboards, balancing your focus across analytics, strategy, process, and infrastructure.

Define and track KPIs for various departments, equipping them with the tools and insights needed to take data-backed action.

Partner with Marketing to analyze acquisition, activation, and conversion funnels, measuring campaign and channel effectiveness end-to-end.

Bring new perspectives and innovative ideas to the table, and continuously measure their impact on the business.

Lead the way to consume data through a single, unified source of truth.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI.
With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Data Engineering Team Leader In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
?A day in the life and how you’ll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

As a Security Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across . Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.

Your Chain of Impact:

Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

As a Technical Account Manager (TAM) in our Enterprise Support, you will serve as the primary technical advisor and voice of the customer for a portfolio of fast-growing Israeli startups. You will play a crucial role in fostering their innovative and transformative work across AI/ML, compute (including accelerated and GPU workloads), containers, networking, storage, databases, serverless, security, and more. It's an opportunity to work closely with technical founders and engineering leaders, helping them make the right architectural decisions at each stage of their growth journey.

Key job responsibilities
- Act as the primary technical advisor for your startup customers, building trusted-advisor relationships with CTOs, VP Engineering, and founding teams.
- Engage across the full customer organization, from individual engineers through to C-suite, adapting your communication to each audience.
- Help accelerate customer growth by crafting strategies that balance startup velocity with Well-Architected best practices across AI/ML, compute, containers, and data infrastructure.
- Conduct architecture reviews, operational assessments, and proactive risk identification. Analyze service events and operational patterns to drive continuous improvement in resilience, performance, and cost efficiency.
- Drive technical discussions with founding teams on architecture trade-offs, incident response, and risk management as their systems scale.
- Uplift customer capabilities by running workshops, enablement sessions, and brown bag sessions tailored to their technical needs.
- Champion and advocate for your customers by connecting their feedback to our engineering teams, influencing platform evolution, and ensuring rapid resolution of concerns.
- Collaborate with Solutions Architects, Business Developers, Professional Services, and Account Managers to deliver coordinated customer value.
- Develop and share technical content such as blog posts, reference architectures, and reusable solutions that help startups solve common challenges and reduce time-to-market.