לוח משרות דרושים Data Analyst משרה מלאה

we are seeking an Ad Operations Analyst to drive data visibility and operational intelligence across our Supply organization. In this role, you will bridge the gap between raw programmatic logs and actionable business intelligence, helping ensure operational stability and performance across multiple integrations.
You will analyze high-volume programmatic traffic and large-scale advertising datasets, working at the intersection of operations, analytics, and product, collaborating closely with Supply Operations, Product, Data Engineering, and Business teams. This is a high-impact role where your insights will help improve operational transparency, detect issues early, and support data-driven decision-making across the organization. The team actively leverages modern AI and automation tools to enhance analytics workflows, monitoring, and data exploration.
Responsibilities:
Own and develop supply monitoring frameworks and reporting dashboards used across the Supply organization to detect and resolve revenue-impacting issues
Aggregate and analyze data from multiple internal systems and external advertising platforms to support operational monitoring and analysis
Work with large-scale datasets across multiple advertising integrations, including SSPs, exchanges, and partner platforms
Identify trends, anomalies, and operational issues while generating actionable insights
Provide insights that influence operational decisions and supply optimization strategies
Investigate data discrepancies and operational issues by combining business logic, product understanding, and large-scale data analysis
Build and maintain automated data pipelines and API-based data collection processes
Develop dashboards and data visualizations that support operational monitoring and business decision-making using modern BI and AI-enabled tools
Collaborate closely with Data Engineering to improve data infrastructure and reporting reliability
Work with Product and business teams to visualize operational data and support strategic initiatives
Design smart alerts and monitoring systems, including anomaly detection capabilities, to proactively identify operational issues
Use automation and modern AI tools to improve analytical workflows and operational efficiency

Required Customer-Facing Data Analyst
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson,, and SciPlay
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs.

Designing processes for cloud efficiency, considering economic aspects and the costs of various components estimating costs for various components.
Estimating costs for various projects and conducting comparisons between cloud providers.
Developing control and monitoring tools in relation to cloud architectures to improve, optimize, and save costs.
managing and implementing automatons using supporting tools to identify trends and anomalies in project costs maintaining regular interaces with development, infrastructure, and finance teams within the organization and peer companies.
Identifying and implementing new opportunities and technologies in the field of cloud FinOps.
Maintaining regular interfaces with companies and organizations in the cloud fields both domestically and internationally.

A leading Israeli company specializing in SaaS-based software solutions for managing organizations Human Resources, is looking for a Systems Analyst to define and specify web and mobile systems, from planning to production.



Key Responsibilities:

Define web and mobile systems, create Detailed Design documents.
Understand business and technical requirements, coordinate with development and production teams.
Conduct testing, optimize web systems, and provide maintenance and support.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.

Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

abra is looking for an experienced Data Sales Manager to lead business growth in Data, Analytics, and AI within Microsoft activity. The role involves driving enterprise sales, managing complex deals, and collaborating with technical teams to deliver innovative solutions. Key Responsibilities:
* Lead end-to-end sales for Data, Analytics, and AI solutions.
* Identify and develop new business opportunities.
* Manage relationships with strategic clients at business and IT levels.
* Drive RFP/RFI processes and prepare complex proposals.
* Collaborate with architects, data experts, pre-sale, and delivery teams.
* Build and manage a robust sales pipeline to achieve targets.
* Negotiate and close deals successfully.

We are looking for experienced, creative, and independent Data Analyst to join our growing and unique data team. You will be working with colleagues from various departments such as Product, Technical Product, Operations, R&D, Research and Customer Success. Besides KPIs measurements and internal data processing, you will take a main part in the data product development, creating insights and defining measures and visualizations which are being consumed by our customers on a daily basis.
You will be part of a team which makes an impact across the whole company.
What you'll do:
Analyze large and complex datasets, in the fascinating domain of construction AI, and have a central impact on our business decisions.
Work closely with stakeholders across the company, be proactive and provide relevant and actionable recommendations.
Use your deep understanding of the domain and customers' needs to create and maintain data visualizations and analysis for our clients to maximize our product impact on their business goals.
Collaborate with product and operational teams to develop and test new features and logical heuristics to enhance internal processes.
Work in cooperation with R&D, define data structures and ETLs to maximize the impact on our company's KPIs.

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 are seeking a Data Analyst position, with a passion for technology, to solve unique problems within our measurements. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you.
This position is located in our Tel Aviv office.
Responsibilities
Performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company business targets.
Deep analysis of large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and strategic road maps.

We are building a centralized intelligence system for the entire organization - a system that collects, consolidates, and analyzes all organizational data, and actively drives business workflows and decision-making.
This role exists to take that system to the next level.
As the Lead Organizational Intelligence Engineer, you will own the evolution of an internal platform that already influences how decisions are made across the company - and turn it into a foundational capability that fundamentally reshapes how the organization operates. Youll work end-to-end: from data ingestion and modeling, through analytics and AI-driven insights, all the way to decision workflows used by executives, R&D, product, and go-to-market teams.
You will operate as a senior individual contributor with broad organizational influence, while laying the technical and product foundations for a future team.
What Youll Do:
Own the architecture and implementation of a company-wide organizational intelligence system, end-to-end
Design and build data pipelines that ingest and unify data from across the organization and into our own platform
Define and evolve data models and semantic layers that create a shared, consistent language across teams and domains
Build advanced analytics and insight mechanisms that move beyond dashboards into decision-enabling workflows
Work directly with company executives to co-define requirements, identify blind spots, and translate strategic questions into systems and capabilities
Apply a product-driven mindset: deciding not just how to build, but increasingly what should be built and why
Leverage frontier AI tooling and agent-based workflows to accelerate development, improve system quality, and expand whats possible
Write and own production-grade code, setting a high bar for quality, reliability, and scalability
Influence technical and organizational workflows across the company to enable deeper intelligence and better decisions
Lay the groundwork for future externalization of these capabilities into customer-facing products

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.
Responsibilities:
Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

We are looking for a hands-on, strategic Business Application Manager with a proactive, ownership-driven mindset. Someone who takes initiative, thinks beyond the immediate task, and translates data into real business impact. This role requires a unique mix of systems expertise, project management, and analytical skills. Youll not only implement and optimize our platforms but also analyze ROI, create data-driven case studies, and help leadership make informed decisions.
Reporting to the VP of Customer Success, youll work cross-functionally with Sales, Marketing, Finance, Procurement, and Operations to ensure the company has the right tools, workflows, and insights to scale effectively.
This is part project manager, part systems owner, and part business analyst. Youll lead end-to-end implementations, integrate platforms like Salesforce, Intercom, Quicksight, create dashboards and reports, and drive process optimization across the business.

Required SAP OTC System Analyst
We build the digital platforms. We are seeking a SAP OTC Analyst to support and enhance our global Order‑to‑Cash (OTC) processes and help prepare our SAP landscape for a future S/4HANA transformation.
This role is well‑suited for a strong hands‑on SAP professional who enjoys working closely with the business, configuring systems, solving complex process issues, and contributing to global initiatives.
Key Responsibilities
OTC Solutions & Functional Support:
Design and support SAP OTC solutions aligned with global business requirements.
Participate in requirements‑gathering sessions with business, operations, and IT stakeholders.
Analyze business needs and propose functional solutions for OTC scenarios.
SAP Functional Configuration:
Configure and support SAP ECC OTC processes end‑to‑end, including:
Order Management
Pricing
Delivery & Shipping
Billing & Invoicing
Credit Management
Revenue Recognition
Returns & RMA processes
Ensure alignment and smooth integration with related SAP modules (SD, MM, FI/CO, Logistics) and external systems.
Implementation & Enhancements:
Support SAP projects and enhancements across the OTC domain.
Participate in configuration, testing (unit / UAT support), documentation, and deployment activities.
Prepare functional specifications for RICEFW objects and integrations in collaboration with development teams.
Support global template alignment and standard processes.
Production Support & Continuous Improvement:
Resolve complex OTC production issues in a global, multi‑region environment.
Analyze recurring issues and support ongoing system improvements.
Ensure stable and reliable business operations across order‑to‑cash flows.
Cross‑Functional Collaboration:
Work closely with commercial, customer service, finance, logistics, and IT teams.
Act as a functional bridge between business users and technical teams.
Support integrations with CRM platforms (e.g., Salesforce / SFDC) and other global systems.

Required Salesforce System Analyst
The Salesforce System Analyst would perform a key position in our Commercial Applications team, responsible for gathering business requirements and implementing those within Sales Cloud, Service Cloud and Apttus CPQ. Were looking for a Self-driven, proactive, and comfortable working independently across distributed time zones individual. Working side by side with Global Process Owners, Product Owners, Scrum Masters and ERP SAP experts in a position that brings our users to have a simple, automated and scalable experience.
Key Responsibilities:
Lead requirements gathering, analysis & solution design, development oversight, and demos for enhancements and transformational initiatives.
Drive high-quality execution across the full SDLC, ensuring readiness for development, CI/CD, SQA, UAT, and deployment.
Operate within a Scrum‑oriented environment, actively participating in Agile ceremonies and maintaining your Jira progress with ownership and transparency to support a healthy, well-prioritized backlog.
Approach business and technical challenges holistically, offering scalable and elegant solutions.
Collaborate closely with project managers, developers, and SQA teams to ensure high-quality, on-time delivery.
Apply practical prompt engineering and scripting skills to optimize workflows and enable intelligent automation.
Integrate APIs and third‑party tools into a robust Salesforce solution.