דרושים » תוכנה » Customer Success Data Analyst

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

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.

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

Required Director of Customer Care Strategy
Role Purpose:
This senior leader will own the strategy, design, and transformation of Customer Care across all channels, with a specific mandate to leverage AI and automation to improve customer experience, quality, and efficiency.
This role defines the future-state service model, including how AI augments agents, powers self-service, and enables proactive support. It is a strategic partnership role that works with Operations & Product to deliver systemic improvements.
Location: Glilot, Israel
Key Responsibilities
Customer Care Strategy & Roadmap: Define the vision and strategy for Customer Care that is aligned with company goals and customer needs.
Partner with all functions across the Operations department to define the service strategy and track execution.
Technology and Innovation: Spearhead the implementation of cutting-edge technologies, including omnichannel platforms (CCaaS), LLM-powered self-service chatbots, and AI agent-assist tools.
Work with Product teams to build in-product support and self-service tools that reduce avoidable contacts.
Voice of the Customer (VoC) Advocacy: Act as the "Voice of the Customer" across the company.
Collaborate closely with Product, KYC, and GTM teams to share insights, drive product improvements, and create a seamless end-to-end customer journey.
Customer Experience (CX) Enhancement: Design and launch new, specialized service models, and identify opportunities to generate revenue through proactive, value-added services.
Inquiry Reduction & Process Improvement: Lead internal inquiry reduction and productivity improvement projects, along with cross-functional programs to tackle systemic drivers of contact and customer dissatisfaction.
Quality Framework & Strategy: Design and implement a global quality assurance framework to measure, analyze, and improve the performance of all customer interactions.

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).

Responsibilities
Responding to customer inquiries across various channels
Handling, tracking, and documenting customer cases in internal systems
Coordinating with relevant company teams as needed
Meeting defined targets and service-level agreements (SLA)
Combining customer-facing communication with back-office operational tasks
Suitable for students, including part-time positions
Hybrid work model based in Herzliya