לוח משרות דרושים Data Analyst

were looking for an ambitious, analytical, and resourceful Business Operations Associate to join our Biz Ops team. This role is perfect for someone looking to gain hands-on experience in optimizing business processes, driving efficiency, and supporting strategic initiatives in a high-growth environment.

This role is all about driving results by making operations smoother and smarter, working across teams to identify gaps, improve execution, and turn strategy into clear, scalable processes that support Fayes success.

Responsibilities
Own hands-on operational execution, including recurring tasks that keep the business running smoothly, with strong attention to detail and follow-through.
Maintain, improve and create new workflows, SOPs, documentation, and internal tools to drive efficiency and consistency while allowing for flexibility.
Identify operational gaps, design scalable solutions, and lead implementation from problem definition through execution.
Define, track, and analyze key metrics to measure impact and continuously optimize processes.
Own licensing and compliance projects, a core responsibility in a highly regulated operating environment.
Lead & support strategic projects, including cross-functional collaboration to ensure alignment, clear communication, and smooth execution of company-wide initiatives.

We are looking for an Information Systems Analyst to own and optimize our core business applications. This role focuses on building scalable, reliable systems that support key business processes across Sales, Marketing, Customer Success, Finance, HR, and Operations. You will work closely with business stakeholders to translate requirements into technical solutions, manage integrations between systems, and continuously improve application performance, data quality, and User Experience.
What you will do: Business Applications Ownership: Own and maintain core business applications to support evolving business needs Manage system updates, releases, testing, and deployments
Business Process Enablement Partner with cross-functional teams to understand workflows and operational challenges Translate business requirements into scalable application solutions Improve and automate end-to-end business processes across departments
Integrations & data Design and maintain integrations between business applications Ensure data accuracy, consistency, and proper data governance across systems Support reporting, analytics, and data -driven decision-making
Stakeholder Collaboration & Support Act as a trusted technical partner for business teams Balance day-to-day requests with long-term system scalability Support user adoption through training, documentation, and ongoing enablement
Position Intro:
We are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Were looking for a sharp Product Data Analyst whos infinitely curious when it comes to leveraging data to solve product and business problems.
Youll be a part of the Analytics team and will spend your day-to-day tackling analytical questions and monitoring metrics. In order to succeed, youll need to demonstrate strong capabilities at modeling complex data, uncovering patterns, and delivering data-driven insights.
In this role youll:
Collaborate with members of the Analytics, Product, and Data teams to improve business decisions using data
Conduct A/B testing on our flow and processes in order to build state-of-the-art products
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
Extract and analyze data using different data platforms (Snowflake, Python, etc.)
Present key findings to stakeholders across the company in order to drive business and product decisions
Explore new and unmapped data domains that can push our product forward.

Were looking for a sharp Senior Product Data Analyst whos infinitely curious when it comes to leveraging data to solve product and business problems.
Youll be a part of the Analytics team and will spend your day-to-day tackling analytical questions and monitoring metrics. In order to succeed, youll need to demonstrate strong capabilities at modeling complex data, uncovering patterns, and delivering data-driven insights.
In this role youll:
Collaborate with members of the Analytics, Product, and Data teams to improve business decisions using data
Conduct A/B testing on our flow and processes in order to build state-of-the-art products
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
Extract and analyze data using different data platforms (Snowflake, Python, etc.)
Present key findings to stakeholders across the company in order to drive business and product decisions
Explore new and unmapped data domains that can push our product forward.

Required Salesforce Analyst
Position Overview:
Be a part of the Global Business Applications group, leading our Post-sale and service organization from an information system perspective using the latest technology of salesforce, Gainsight, Five9, and other related tools including managing integrations between the different information systems, where youll play a key role in shaping our information systems. Leverage cutting-edge Salesforce technologies and related tools to drive business impact, while managing integrations across multiple platforms to ensure seamless data flow and operational efficiency.
Working with latest technology of Salesforce such as Experience cloud (Customer community including e-Commerce, internal community), Digital engagement, Einstein Prediction as well as Learning management system (Appinium), Five9 call center, CMS. Responsible for integrations and creating processes cross-systems.
Using the tools like Agentforce and SF flows you will build customer journeys to support both our employee and the end users. You will be working together with the business in building processes and solutions that simplify both for the customer and the employee.
Key Responsibilities:
Own and manage end-to-end projects and items, from initial scoping and stakeholder alignment through execution, testing, deployment, and post-launch support.
Lead and deliver end-to-end Salesforce Customer Experience solutions, driving initiatives such as Customer Success, Customer Support, Training, Services and more.
Work closely with business stakeholders and technical teams to design and execute complex projects using both out of box features.
Design and analyze various business processes and related data from the requirements gathering to implementation and roll out.
Responsible for evaluating and recommending a configuration that maximizes software capabilities.
Maintenance including problem (ticket) resolution within SLA and highest quality.
Evaluate new tools to be implemented with integration to Salesforce to drive solutions to business process issues and maintain data integrity.
Participate in Agile ceremonies and work within Scrum sprint cycles to prioritize, plan, and deliver Salesforce-related tasks and enhancements.

As a Senior Data Analyst , youll be a key part of our Data Group, working alongside top-tier data analysts, data scientists, and data engineers.

Youll play a central role in shaping how data drives our product, impacting hundreds of thousands of users by turning complex data into actionable insights.

Data is at the heart of everything we do . In this role, youll help optimize key KPIs, enhance data pipelines, and enable smarter, data-driven decisions across the company.

What Youll Actually Do:

Own product analytics end-to-end for a core dataset within Data Group, serving as the primary authority on analytics for your teams data, with autonomy to define standards, methodologies, and direction.
Lead advanced, impact-driven analyses across the full lifecycle of the dataset - from supplier ingestion and enrichment logic through algorithms, product usage, and customer impact.
Work closely with Product, R&D, and Data Engineering to shape enrichment logic, guide decisions, and translate complex data problems into actionable insights.
Build and own core dashboards and analytical tools that become a trusted, day-to-day foundation for decision-makers working with your dataset.
Drive data initiatives that measurably improve data quality, product performance, user experience, and business outcomes for your domain.

As a Senior BI Data Engineer, youll join a company where culture isnt a slogan - its our DNA.

Youll be part of a data-driven organization where every voice matters, working at the heart of our BI team to raise the bar for analytical excellence.

In this role, youll take end-to-end ownership of complex, high-impact BI initiatives, shaping how measures success, makes decisions, and scales. Your work will directly impact over 1M users worldwide, empowering B2B sales teams to unlock new revenue opportunities and drive sustainable growth.

What Youll Actually Do:

Lead the design and evolution of BI data foundations, owning key product and GTM metric definitions and data models
Build, scale, and maintain high-quality ELT pipelines and curated datasets (raw → modeled → semantic) that power dashboards and self-serve analytics
Collaborate closely with Data Scientists to operationalize machine learning use cases, including feature pipelines and analytical datasets
Take senior ownership within the BI team by mentoring peers, reviewing critical work, and promoting best practices in analytics engineering and semantic modeling
Own the performance, cost, and reliability of the data warehouse and BI layer by optimizing models, queries, and incremental processing patterns
Translate ambiguous business questions into clear, governed metrics and scalable data models, partnering with Product, RevOps/GTM, Finance, and Analytics
Establish and maintain strong data quality, observability, and monitoring practices (tests, SLAs, anomaly detection)
Drive standardization and automation across the BI development lifecycle, including version control, CI/CD, documentation, and release processes
Stay ahead of modern BI and analytics engineering trends, including AI-assisted development, and apply them pragmatically to increase trust and speed

we are looking for a Data Integration Engineer.
As a Data Integration Engineer , you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from each client to feed our data science models. You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge in processing the data of the largest eCommerce merchants in the world.
What You'll Be Doing:
Maintain/manage merchant data configuration layer of platform (automated data tagging, transformation, filtering, etc.)
Combine technical, business, and analytical objectives to come up with tailored solutions for onboarding merchants
Perform due diligence on merchant websites, business models, and data flows
Generate tailored data templates (JSON, CSV) to help guide merchant developers/data teams in building high-quality online (API) and offline (file transfer) integrations.
Write queries and scripts using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to APIs
Ad hoc data wrangling and sanitization
Monitor automated data alerts - prioritize, track, and communicate merchant data issues/irregularities with internal and external stakeholders
Work closely with analysts, research, and data science teams to accommodate changes in industry data
Identify, research, and offer system-wide solutions for common data issues
Work closely with client-facing teams to engage customers regarding their data integrations
Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of product, technology, and merchants

We are seeking a driven, solution-oriented Salesforce Analyst with a deep understanding of platform architecture and a passion for enhancing business performance. In this role, you wont just be "fixing tickets"-you will be a strategic partner to our Sales, Marketing, and Customer Success teams. You will translate complex business needs into elegant, scalable technical solutions that adhere to Salesforce best practices.
What You'll Be Doing:
Lead cross-organizational projects designed to increase efficiency across Sales, BDR, Marketing, and Partner relations.
Work closely with global business leaders to gather requirements, provide system support, and understand the unique nuances of different regional teams.
Architect creative solutions to complex technical challenges, leveraging Salesforces latest features to solve high-impact business problems.
Execute end-to-end configuration, including advanced Flow automation, custom objects, data modeling, and system integrity checks.
Continuously assess our Salesforce instance to identify bottlenecks and implement "best-in-class" improvements that support a rapidly growing SaaS organization.

Meckano provides an advanced end-to-end technological solution for human resource management and organizational efficiency.
We are looking for a talented data Analyst to join our team.
In this role, you will take ownership of end-to-end data analysis, transforming complex data into actionable business insights that support strategic decision-making and drive company growth.
The position is located in Petah Tikva.

Key Responsibilities
Analyze data from various company systems and generate actionable business insights.
Build reports and interactive dashboards for management and for CS, Product, and Marketing teams.
Work with data warehouses and write complex SQL queries.
Maintain and optimize data infrastructure while developing data -driven work processes.

we are looking for a Product Data Analyst.
As a Product Data Analyst, you will play a pivotal role in driving data-based decision-making and shaping product direction across the organization. You will oversee complex analytical initiatives, guide the development of KPIs and performance frameworks, and partner with product, engineering, and business leaders to influence strategic priorities.
Responsibilities:
You will lead and conduct end-to-end analytical workflows, from requirement definition, data collection, and preprocessing to insights generation and executive-level presentations. You will also spearhead the development of scalable tools, processes, and methodologies that enhance model performance and data accuracy across the company. By uncovering actionable insights and identifying opportunities for optimization, you will directly influence business growth and help scale the organizations most impactful initiatives.
This role is ideal for someone who thrives in a fast-paced environment, enjoys taking ownership of high-impact initiatives, and is ready to manage projects independently while effectively collaborating with internal stakeholders to ensure delivery of the intended outcomes.

Required Network Data Analyst
Job Summary:
A cutting-edge network security solutions provider, is at an exciting time in its history and is growing fast! We cherish the spirit of friendship, growth, excellence, transparency, and perseverance.
As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

Data Analyst
Job Summary:
A cutting-edge network security solutions provider, is at an exciting time in its history and is growing fast! We cherish the spirit of friendship, growth, excellence, transparency, and perseverance.
As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

We are a development team (R&D) building a client-server system on Microsoft Azure, operating over an advanced cloud-based data infrastructure. We are currently transitioning from a legacy SQL Server and Analysis Services stack to modern platforms including Snowflake and Azure Data Explorer (ADX).
As part of this transformation, were looking for a sharp and driven Data Analyst to help us extract insights, shape our data for Machine Learning and AI, and directly influence business decisions.
What will you do?
Analyze complex datasets from diverse sources (Snowflake, ADX, logs, APIs, etc.).
Identify actionable insights and communicate findings clearly to business and product stakeholders.
Build dashboards and monitoring tools using Power BI / Tableau / Looker (or similar).
Collaborate with development, product, and data engineering teams.
Prepare and process data for ML/AI purposes (feature engineering, labeling, etc.).
Lead ad-hoc analyses and data-driven PoCs to support decision-making.

we are a global leader in control systems for quantum computing, a field on the verge of exponential growth. Our innovative hardware and software mark a groundbreaking approach in quantum computer control, scaling from individual qubits to expansive arrays of thousands. At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
As an ERP Functional Consultant in Dynamics 365 Finance and Operations, you will be responsible for overseeing the implementation and optimization of our Dynamics 365 processes. As part of the team, you will play a crucial role in ensuring the smooth operation of our business processes, enhancing system capabilities, and driving technological advancements. Additionally, you will provide essential support to users, ensuring they have the resources and assistance needed to effectively utilize Dynamics 365.
KEY RESPONSIBILITIES
Be a key player in the support and evolution of our F&O system, particularly focused on logistics.
Implementation of new modules, integrations, and system upgrades with minimal business disruption.
Oversee day-to-day operations and performance of the D365 Finance and Operations platform.
Provide advanced troubleshooting and technical support, ensuring timely resolution of issues.
Create requirements for customizations and enhancements.
Collaborate with stakeholders to gather requirements, propose solutions, and improve system processes.
Build reports and dashboards to support business decision-making and monitor system health.