לוח משרות דרושים Data Analyst משרה מלאה

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.

We are seeking for an individual with the skills and motivation to become a data analyst in a global leading company.
You will get the opportunity to work with talented data analysts worldwide, in a variety of topics using different BI tools in an advanced environment.
Key Responsibilities
You will learn the business needs of the various departments in the organization.
Build analytic reports to provide business insights.
Responsible for the ongoing development of the companies reporting catalog.
Initiate advanced analytics projects.

We are looking for a Junior AI Agent & Process Automation Analyst to join our Finance team and support a new initiative focused on mapping finance processes and embedding AI agents where they can add value. The role focuses on building autonomous AI agents that can understand their environment, use tools, and execute actions independently within defined finance processes.
Key Responsibilities
Map and document end-to-end finance processes in collaboration with Finance stakeholders.
Identify repetitive or manual finance processes with potential for AI agent automation.
Build and test AI agents that can autonomously perform defined finance-related tasks.
Configure agents to use tools such as APIs, internal systems, and data sources.
Validate outputs, monitor performance, and improve agent reliability over time.
Document agent logic, behavior, and learnings and share with stakeholders.

As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company.
You will play a key role in the ability of each team at to keep scaling!

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

We need a Data Analyst to help us analyze the millions of data points generated daily. Your insights will drive smarter decisions, optimize product performance, and enhance device identification.
This isn't just another data job-it's your opportunity to innovate, collaborate, and make a significant impact in seamless networking.
What Youll Be Doing:
Analyze large, complex data sets of millions of connected devices to address data plan needs for growth, user behaviors, and business questions.
Produce customer reports on product performance, trends, and new features added.
Engage with different teams within the organization, work in collaborative teamwork, and contribute to innovative ideation.
Increase device identification coverage by using automation techniques and out-of-the-box thinking.

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).

We are seeking a highly motivated and analytically driven Junior Product Data Analyst to join our amazing, growing team. This is an exceptional entry-level opportunity for a recent graduate eager to apply their strong analytical capabilities in a challenging and high-impact environment. Youll play a crucial role in understanding user behavior, optimizing product performance, and contributing to data-driven decision-making that directly shapes the future of our globally-used applications.
What Youll Do:
Support Product Insights: Collecting, processing, and analyzing product performance data, user feedback, and market trends to generate actionable insights.
Data-Driven Optimization: Contribute to analyzing the success of new features post-release, monitoring usage patterns, and supporting tests to optimize performance and business results.
Problem Identification: Help identify opportunities for key initiatives to enhance the customer experience through rigorous data examination.
Cross-Functional Collaboration: Work closely with our R&D and Graphics teams, contributing to detailed specifications and understanding the product lifecycle from a data perspective.
Market Understanding: Support research into market dynamics, competitive landscapes, and user needs to inform product strategies.

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.

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 a detail-oriented and proactive Business Data Analyst who is passionate about transforming data into actionable insights. This role involves working closely with cross-functional teams to support data-driven decision-making in a fast-paced environment.

Youll play a key role in shaping data strategy and delivering insights that impact global business decisions.



Key Responsibilities:

Collect, process, and analyze data from various sources to drive business performance.
Design and build interactive Power BI dashboards and reports.
Collaborate with business stakeholders to understand data needs and translate them into analytical solutions.
Identify trends, correlations, and insights to inform strategic decisions.
Maintained and optimized data models, reporting pipelines, and documentation.

We are looking for a Data Analyst with strong Python and engineering capabilities to join our Data team.

This is not a traditional analytics role - it combines data analysis with hands-on development. You will work extensively with Python as part of your day-to-day work, building scalable data processes, evaluation frameworks, and classification logic that directly impacts our product.

Our team works on large-scale data systems, leveraging ML capabilities such as NER and LLMs, alongside robust engineering and analytics to deliver insights across millions of files and tables daily.


Responsibilities
Design and implement data classification logic to expand coverage of sensitive data types, owning the process end-to-end - from research and analysis to production deployment
Develop Python-based workflows and tools for data processing, evaluation, and automation
Build and maintain data pipelines and monitoring systems to track product performance and data quality
Create automated frameworks to evaluate and benchmark model performance
Collaborate closely with R&D and take part in discussions around AI/ML solutions and product direction

Were looking for a strong and hands-on Product Analytics Team Lead to join our data organization. In this role, youll lead the Product Analytics function, partnering closely with Product, Growth, and Engineering to drive data-informed product decisions across our app portfolio. Youll combine leadership and execution, guiding analysts, shaping analytical best practices, and personally diving deep into product data to uncover insights that drive growth and optimization.

Key Responsibilities

Lead, mentor, and develop a team of Product Analysts, setting high standards of analytical excellence.
Partner closely with Product Managers to define KPIs, success metrics, and measurement frameworks.
Drive product performance analysis across user funnels, engagement, retention, and monetization.
Lead and oversee experimentation initiatives, ensuring high-quality design, execution, and analysis of A/B tests.
Translate complex product questions into structured analyses and actionable recommendations, while establishing clear and consistent product metrics across dashboards and reporting tools.
Collaborate with Data Engineering and Data Product teams to improve data models and semantic definitions.
Present insights and strategic recommendations to senior leadership and key stakeholders.