דרושים » מערכות מידע » System Analyst

A leading software company specializing in human resources and payroll management systems, is looking for a Systems Analyst to join her SAP domain.
This role is suitable for candidates with a background in systems analysis or information systems implementation, including those without prior SAP experience. Comprehensive training will be provided for the SAP Payroll module.
In this role, you will be responsible for the ongoing maintenance, development, and implementation of the SAP Payroll module. The role involves working closely with clients and adapting to evolving regulatory requirements.
This is a professionally deep role for candidates seeking to enter the SAP ecosystem through a strong systems analysis foundation, offering structured onboarding, continuous learning, and long-term career development.
Key Responsibilities:
Analyze and define business and system processes in the payroll domain
Translate business and regulatory requirements into detailed system specifications
Support development processes, including testing, deployment, and ongoing system maintenance
Manage new requirements and system changes in a complex and dynamic environment

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 an experienced Salesforce Business Analyst with strong technical expertise to join our team. As a Salesforce subject matter expert, youll be responsible for delivering scalable, high-quality Salesforce solutions, optimizing workflows, and enabling business teams through reliable system execution.
Working closely with Product Managers, business stakeholders, and other technology teams, youll focus on translating business requirements into robust Salesforce implementations and own E2E solution delivery.
If you thrive in a fast-paced environment and enjoy solving business challenges through technology, this role is for you.
Job responsibilities
Design and build scalable Salesforce solutions in collaboration with Product Managers, Business Operations, and global stakeholders.
Own end-to-end functional delivery, including technical solution design, configuration, implementation, testing, training, and ongoing optimization.
Provide global application support for business stakeholders and end users, ensuring stability, usability, and timely issue resolution.
Identify and implement system enhancements based on defined business needs and Salesforce technical capabilities.
Lead the delivery and maintenance of integrations between Salesforce and third-party tools, working with external vendors to ensure reliable and scalable functionality.

We are looking for a native French speaker with a high level of proficiency in English to join our Annotation and Analysis team at the as a Data Annotator and Analyst. In this role, you will work with large volumes of data in both French and English, annotating and analyzing datasets used to evaluate and train machine learning models, including large language models (LLMs). Your work will involve reviewing model outputs and preparing high-quality training data that supports the development and continuous improvement of AI-driven products. In addition, as part of the job, you will conduct complex analysis on the annotated data and provide insights to the other stakeholders. This position is ideal for someone passionate about linguistics and data, and who enjoys working on detail-oriented tasks that directly impact model quality. As part of a collaborative, cross-functional team, you will work closely with Data Scientists and Product Managers to ensure that datasets are accurately labeled and annotation standards support the development of reliable machine learning systems.

Responsibilities

Evaluate the quality of machine-translated text, with a focus on French language accuracy and fluency.
Annotate and assess AI model responses to support systematic evaluation and improvement of model performance.
Create high-quality annotated datasets used to train and evaluate LLMs and other NLP models.
Write and refine LLM prompts that support scalable human annotation workflows.
Collaborate with cross-functional teams, including Data Scientists and Product Managers, to communicate linguistic nuances and implications of French translations on model behavior and user experience.
Analyze annotated data and evaluation results to identify patterns, assess model quality, and surface insights for model improvement.

We are looking for a Salesforce Business Analyst to join our growing Information Systems team to help develop and maintain our Salesforce application.
The ideal candidate will be as passionate about business processes as they are about building them. As a Business Analyst, you will interface with businesses to ensure timely and effective delivery of Salesforce solutions for the business requirements.
This is a temporary role for at least 6 months (maternity leave replacement) and entails collaboration with executive leaders to identify, define, and implement changes and enhancements to meet business requirements in a dynamic, high-growth environment.
If you're keen on improving the lives of your co-workers, constantly learning new processes and building tools for them - this is the job for you!
What will you actually be doing?
Lead projects end-to-end: full definition and design, development, training & communicating to stakeholders.
Document, design and test system implementations and launch support of solutions using Salesforce best practices.
Provide tactical support for any issues and bugs that are reported on the Salesforce platform.
Build systems, integrate third-party tools, migrate data, train employees, and provide ongoing support to our internal Sales, Marketing and Services organization users.
Manage change communication and coordinate end-user training for system implementations.
Build and deliver solutions using point and click, code, 3rd party tools and APIs.
Create clear, concise and complete functional specifications & think through problems to make actionable recommendations.

we are looking for an experienced Data Analyst to work with us to drive insights and create stronger visibility in the organization. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic environment.
Key Responsibilities:
The role is focused on the marketing domain, working closely with growth, performance marketing, and user acquisition teams.
You will analyze marketing funnels, campaign performance, and attribution models to optimize ROI and drive scalable growth.
This position requires a strong understanding of marketing metrics (CAC, LTV, conversion rates) and the ability to translate data into actionable marketing insights.
Build Specialization-specific operational dashboards.
Develop an analytics framework in collaboration with business process improvement and operations management.
Quarterly planning and roadmapping in collaboration with operations management and product team.
Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, a summary of key findings, and recommendations.
Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.

We're looking for a Data Analyst to join one of our R&D. You'll design and deliver data-driven solutions that combine data analysis, statistical methods, improved heuristics, and ML models training to power our company's autonomous supply chain intelligence platform. You'll work closely with data science, engineering, product, and supply chain experts - owning solutions from problem definition to iterative improvement.
Responsibilities
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of supply chain performance
Improve and maintain heuristic rules and analytical models for supply chain use cases (e.g., inventory risk, demand patterns, root-cause analysis)
Train and iterate on ML models to enhance existing analytical solutions
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement and refine hybrid decision logic by combining analytical outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Collaborate with software engineers to support deployment of analytical solutions, including testing and logging
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.

Our growing Data department is looking for a CRM and Retention Data Analyst.
We are looking for a highly motivated individual who is sharp, autodidactic, and collaborative.
You will deep dive into data, analyze patterns, identify trends, define, and develop KPIs and other measurement tools. Provide insights into the performance of our retention team.
Responsibilities:
Support of ongoing analytical needs of the CRM and Retention team
Analyze effectiveness and performance across multiple channels (Emails, SMS, Push, etc), providing actionable insight for data-led optimization
Translate business questions into data analyses and clear insights
Identify trends, opportunities, and areas for improvement, and provide data-driven recommendations
Design, analyze, and evaluate tests and experiments
Work with large and complex datasets to support strategic and operational decisions
Combine data from multiple sources to create a complete view of user behavior
Build and maintain reporting and dashboards using SQL and BI tools
Partner with cross-functional teams to ensure data is used effectively in decision-making
The position is in Ramat HaHayal, Tel Aviv.

we are looking for a Support Analyst.
What youll do
Reporting to the Manager, Financial Operations in the US, this person will be among the first hires in Israel focused on Financial Operations, as part of a larger global Financial Operations (FinOps) team. The team aims to deliver operational excellence of our customer transaction lifecycle and manage our liquidity to support the companys business growth across the globe. As a FinOps Analyst, youll work closely with counterparts within Operations but also with Commercial and Product teams to identify and remediate FinOps-related issues. This person will need to work a 9-6PM shift.
This role is based in Tel Aviv.
Responsibilities:
Utilise advanced Zendesk skills to manage FinOps-related customer requests (e.g., payment investigations, returns, recalls, and reconciliation inquiries); proficient in Triggers, Tagging, Routing Queues, and Macros to streamline queue management, ensure SLA adherence, and improve operational efficiency across global FinOps workflows
Monitor global end-to-end client transaction lifecycle, handle inquiries, detect exceptions from data reports and dashboards in a timely manner, communicate with teams and other departments to handle issues
Support with daily safeguarding obligations, across multipleentities
Monitor the clearing and settlement of client funds and global money pools; drive data oriented approaches to improve our liquidity management system, fund risk management and treasury efficiency and utilisation
Maintain the team knowledge base and refine the standard operating procedures; find opportunity for operational optimisation and process automation tooling.
Build data-oriented performance metrics, quality assurance framework and tooling to monitor, detect, and remediate operational risk areas and control defects to minimise errors
Set up compliant, accurate and timely reporting data capabilities based on external regulatory and third party requirements