We are looking for a Salesforce Business Analyst to join the CRM (Salesforce) team, which is responsible for supporting global our companys users and is in charge of global business processes.
The Salesforce Business Analyst will support global stakeholders and users and create project plans, track progress and create training materials.
You should apply if you are a team player who can drive complex projects to completion - we offer a great working environment in a successful company and development opportunities going forward.
The Salesforce Business Analyst will report to CRM Manager.
Your key responsibilities will include:
Establish working processes to ensure timely and high-quality delivery.
Design and implement solutions on the Salesforce platform.
Manage and lead projects in our companys Salesforce ecosystem.
Design and implement new business requirements to improve business processes.
Support users on the day-to-day tasks, including data fixes and troubleshooting.
Manage Salesforce releases, understand Whats coming (and when), present the new features to the relevant users & training.

Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 30 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. As a Sales data Analyst at our company, you will support our sales team by compiling and analyzing sales data, providing valuable feedback and actionable insights to guide sales activities. You will champion data collection and present reports and conclusions to the management team. This role requires a strong understanding of our products and business processes, technical abilities, and a high level of accuracy. It offers a unique opportunity to gain hands-on experience in sales analysis and contribute to the success of our company. Key Responsibilities
* Compile, analyze, and report sales data.
* Drive data collection and data cleansing activities, ensuring data integrity and accuracy.
* Monitor and analyze sales performance, customers behavior, determine sales potential, and issue recommendations.
* Provide actionable insights to the sales team and stakeholders.
* Prepare and present reports on data trends and sales performance.
* Develop and maintain BI dashboards and databases to visualize sales data and trends.
* Lead IS automation solutions for managing sales data.
* Collaborate with other departments to understand data needs.
* Provide administrative support to the sales team as needed.
Country:
Israel
City:
Herzliya

We are looking for a motivated Data Engineer to join our growing Data team. This is an exciting opportunity to be part of a core group responsible for building, maintaining, and scaling our data platform, while working closely with Product, Engineering, and business teams.
You will play a key role in developing reliable data pipelines, ensuring data quality and consistency, and enabling data-driven decision-making across the organization.
Responsibilities:
Design, build, and maintain data pipelines and data models to support analytics and reporting needs
Work with structured data across databases, data lakes, and data warehouses
Write efficient and maintainable SQL and Python code for data transformation and validation
Ensure data quality, consistency, and basic data lineage across systems
Collaborate with Product, Engineering, and business stakeholders to understand data requirements
Support dashboards and reporting tools by providing clean, well-modeled data
Contribute to improving data standards, documentation, and best practices

For over two decades, our company has mastered the art of real-time data. Weve built platforms that power the worlds most demanding systems, shaping how organizations grow their business with data-driven services. We have pioneered technologies that optimize data-driven services working with global organizations including American Airlines, Morgan Stanley, CSX, Goldman Sachs, Société Générale, Credit Agricole and more. As pioneers in data-tech, we are building on our DNA in real-time operational data to deliver cutting-edge GenAI solutions that empower businesses to unlock the full potential of their structured data and transform how they interact with information.
This position is full time, hybrid and located in Herzeliya.
Key Responsibilities:
Act as the primary data expert for customer onboarding, ensuring accurate data understanding and integration.
Partner with customers to understand their business logic and translate it into actionable data mappings within the platform.
Perform deep SQL analysis on raw datasets to validate structures, uncover issues, and ensure data integrity.
Identify gaps, inconsistencies, and edge cases, and proactively propose corrective actions.
Analyse customer usage data to identify trends, adoption challenges, and opportunities for improvement.
Create data-driven reports and visualizations that communicate findings clearly to both technical and business audiences.
Work cross-functionally with R&D, Product, and QA to ensure smooth data onboarding and accurate system behaviours.
Manage multiple onboarding and data-integration projects simultaneously, maintaining clear timelines and communication.

We are looking for an AI & Cloud FinOps Specialist to join our FinOps team and help drive cost efficiency, governance, and visibility across both cloud and AI environments.
This role combines traditional FinOps (Cloud and SaaS) with emerging AI cost management practices. The ideal candidate comes from a FinOps or cloud cost management background, with strong technical orientation and the ability to work closely with engineering teams.
Depending on experience and strengths, the role will focus on either:
building and owning AI FinOps capabilities
OR
driving execution across cloud FinOps and vendor management
This is a high-impact role with both execution and ownership opportunities, working across engineering, finance, and procurement.
What you'll do:
Monitor, analyze, and optimize cloud, SaaS, and AI-related spend (AWS / GCP / Azure, vendors, LLMs)
Create visibility into usage, cost drivers, and efficiency metrics
Identify and drive optimization of inefficiencies (e.g., underutilization, over-provisioning, inefficient usage, excess AI consumption)
Work closely with engineering, DevOps, and data teams to translate usage into cost drivers and influence cost-aware architecture decisions
Build or support dashboards, tools, and automation for cost visibility and monitoring
Contribute to AI FinOps (governance, automation, agents) and/or Cloud/Vendor FinOps (vendor management, budgeting, forecasting).

Were looking for a Data Analyst to join the Protect360 algorithms team and play a key role in researching fraud patterns, analyzing large-scale data, and supporting the development and monitoring of fraud-detection algorithms.
This role is highly R&D-oriented, with deep involvement in data exploration, algorithm analysis, and close collaboration with data scientists, engineers, and product partners.

A partial list of our tech stack includes: SQL, Python, Looker, BigQuery, AWS services, Airflow, and more.

What you'll do:
Analyze large, complex datasets to identify fraud patterns and emerging threats.
Design and write high-performance SQL queries for large-scale data analysis.
Use Python for data analysis, exploration, validation, and workflow automation.
Support the development, evaluation, and monitoring of fraud-detection models.
Build analytical tools, reports, and dashboards to track algorithm performance and fraud trends.
Collaborate with data scientists, engineers, and product managers on R&D initiatives.
Translate business and product questions into data-driven insights and recommendations.