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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are seeking a seasoned and strategic Head of BI to lead our Business Intelligence group.
In this pivotal role, you will be responsible for overseeing the full BI stackfrom data infrastructure and pipelines to analytics and reportingwhile managing a team of data engineers and analysts.
You will drive the design and execution of our data strategy, ensure delivery of trusted insights across the organization, and lead the team responsible for building and maintaining our data platform and analytics capabilities. This is a hands-on leadership role requiring a balance of technical depth, managerial experience, and strategic thinking.Responsibilities
What Youll Be Doing:
Lead, mentor, and scale a cross-functional team of BI Analysts and Data Engineers.
Own and evolve our data warehouse architecture, ensuring integrity, scalability, and performance (Snowflake preferred).
Oversee the design and development of ETL/ELT pipelines and semantic data models using tools such as dbt, Python, and Airflow.
Collaborate with senior stakeholders to align business goals with data priorities, translating requirements into scalable solutions.
Define and implement best practices across the entire BI lifecycle: data ingestion, transformation, modeling, visualization, and governance.
Deliver robust, actionable dashboards and insights that drive key business decisions and KPIs.
Requirements:
8+ years of experience in Business Intelligence, Data Engineering, or Analytics roles, including 4+ years in a leadership capacity.
Proven ability to manage hybrid teams of engineers and analysts with a track record of high-impact project delivery.
Deep technical expertise in SQL, dbt, Python, and modern data platforms (Snowflake, BigQuery, Redshift).
Hands-on experience building data pipelines, warehouse architecture, and analytical models at scale.
Strong stakeholder engagement skills with the ability to translate business needs into data products.
Effective communicator with a strong sense of ownership, clarity, and strategic vision.
BA/BSc in Computer Science, Engineering, Industrial Engineering, or a related field
Nice to have:
Experience with BI tools like Looker, Power BI, Tableau, or Metabase.
Exposure to AI/ML-driven analytics or predictive modeling workflows.
This position is open to all candidates.
 
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לפני 9 שעות
חברה חסויה
Job Type: Full Time and Hybrid work
At least 4 years of experience as a BI Developer Must

Hands-on experience in designing and implementing complex ETL processes

Experience in establishing and maintaining data Warehouse ( DWH ) systems

Proven track record in developing data models and decision-support dashboards

Strong analytical thinking and logical reasoning

High technical proficiency with a variety of BI tools

Experience in business process analysis and supporting decision-making

Previous management experience or demonstrated leadership potential

Experience in mentoring or leading a BI team

Background in business analysis or cross-functional projects
Requirements:
BI Development Experience: 4+ years of experience in BI development
Strong background in ETL and data Warehousing ( DWH ) processes.
Technical Expertise: Proficiency in BI tools like Power BI (PBI) or Tableau, with a solid understanding of data modeling and report/dashboard design.
Familiarity with cloud platforms like Azure or AWS.
Business Acumen: Strong ability to understand client requirements and translate them into technical solutions that drive business outcomes.
Proven experience in leading and managing teams
Quick learner with a creative problem-solving approach, capable of thriving in a dynamic, fast-paced client environment.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are seeking a passionate and skilled BI Developer to join our Data & Analytics team and play a key role in shaping the semantic layer within. Youll work closely with data analysts, data engineers, and other stakeholders to translate complex business logic into scalable data models, enabling self-service analytics and actionable insights across the organization.
This is a highly collaborative role focused on defining and implementing the semantic foundation that powers traffic benchmarks, user behavior analysis, and operational dashboards for Customer Success and beyond.
What Youll Do:
Own the end-to-end development of the semantic layer for traffic data, ensuring scalability, consistency, and accuracy.
Build and maintain data models in DBT or equivalent transformation layers to support analytics and self-service use cases.
Develop and orchestrate reliable data workflows using Apache Airflow and Python.
Implement efficient data transformations using Spark for scalable data processing.
Collaborate with Customer Success (CS) data analysts and business partners to translate business questions into efficient, governed data structures.
Optimize SQL and data flows for performance and usability across tools like Looker, Tableau, or other BI platforms.
Define and document standardized business logic, KPIs, and metric definitions within the semantic layer.
Partner with Data Engineering to ensure semantic data models are aligned with upstream pipelines and architecture.
Develop data validation, QA, and monitoring processes to maintain high data quality standards.
Contribute to data modeling best practices and participate in broader data governance initiatives across the company.
Requirements:
2+ years of experience as a BI Developer, Data Modeler, or in a similar role with strong exposure to semantic layer design.
Proven experience with SQL-based transformation tools (especially dbt).
Hands-on experience with Spark for distributed data processing.
Strong programming skills in Python for data transformation and automation.
Experience with Apache Airflow for orchestrating data pipelines.
Deep understanding of dimensional data modeling, semantic modeling, and business metric standardization.
Extensive hands-on experience with BI tools such as Looker, Tableau, or Power BI.
Strong collaboration and communication skills with both technical and non-technical stakeholders.
Experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).
Familiarity with version control (e.g., Git), CI/CD processes for data, and agile development practices.
Bonus Points:
Experience working in a mobile measurement platform (Attribution & Measurement), ad-tech big advantage.
Familiarity with AI tools (e.g., ChatGPT, Gemini, Claude etc).
Background in developing analytics solutions that support benchmarking or customer-facing insights.
Introduced by a team member.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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03/09/2025
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are seeking a highly skilled Senior Data Engineer to join our growing team. As a Senior Data Engineer, you will own the design, build, and optimization of data platform - powering analytics, and data-driven product features, the Data Engineer plays a crucial role in designing and overseeing all BI and analytics solutions. They collaborate closely with various departments such as Product, R&D, BizDev, and Executive teams to address their data analysis requirements. Additionally, they hold responsibility for essential financial and operational metrics.

This role offers the opportunity to make a significant impact in a fast-paced, high-growth environment while tackling meaningful challenges that directly advance our mission. , we leverage a modern data stack, including Snowflake, DBT, Python, and Fivetran, built on infrastructure-as-code and CI/CD best practices, and increasingly explore AI-driven solutions to enhance data quality, automation, and insight generation.

RESPONSIBILITIES
Design and maintain scalable data models and schemas in DBT/Snowflake to support analytical and operational workloads.

Build, optimize, and document robust ELT pipelines in SQL, Python and DBT for batch and near-real-time data ingestion.

Lead initiatives to explore and integrate AI-driven approaches that enhance data workflows, insights and end-users self service.

Implement automated data-quality testing, monitoring, and alerting to guarantee trustworthy and timely data.

Collaborate with Product and Engineering teams on event instrumentation, features analysis, schema design and data governance standards.

Partner with Analytics and Data Science to translate business questions into engineered data solutions.

Mentor junior engineers and analysts, championing best practices in coding, documentation, and peer review.

Tune warehouse performance and manage cost efficiency.
Requirements:
Experience: 5+ years in a data-engineering role in the tech industry, with a proven track record of scaling data platforms in cloud environments (AWS, GCP, or Azure).
Technical Skills: Expert SQL; hands-on with Snowflake (or Redshift/BigQuery), DBT knowledge, Python knowledge.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time and Temporary
Were looking for a highly technical, data-driven Data Analyst with a strong sense of ownership. In this role, you will be responsible for translating product data into business insights, measuring the impact of features and initiatives, and uncovering opportunities to drive revenue growth and customer value. Youll work closely with product managers, engineers, and business teams to support product development, guide strategic decision-making, and drive business growth.
What youll do:
Analyze large-scale datasets to identify trends, inefficiencies, and product opportunities in mobile attribution.
Develop and execute continuous data analysis to provide insights throughout the product development lifecycle.
Create and maintain dashboards, monitoring tools and ETL processes to improve visibility into attribution performance.
Suggest, lead, and implement new ideas and projects to improve our attribution models and overall product performance.
Requirements:
2+ years of experience as a Data Analyst, preferably in a big data or SaaS company.
Strong proficiency in SQL and experience working with large-scale datasets.
Bachelors degree in Industrial Engineering, Statistics, Mathematics, Computer Science, or a related field.
A proactive attitude with a passion for problem-solving and product optimization.
Bonus Points:
Experience working with cloud data services such as Amazon AWS (Athena, S3, Redshift) or Google BigQuery.
Hands-on experience with BI tools such as Looker, PowerBI, Tableau, or similar.
Technical approach with a deep understanding of data pipelines and ETL processes.
Being introduced by a team member.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Herzliya
Job Type: Full Time
Required Senior Data Engineer
Herzliya
Were a passionate, collaborative, and professionally diverse Data Platform team, famous for building world-class high-scale infrastructure that processes tens of millions of events per second.
Now, were evolving our mission: applying our engineering excellence to the world of data engineering, metadata systems, and agentic AI.
This is a brand-new challenge, and were looking for an exceptional Data Engineer to join us.
If youre ready to pioneer the future of data engineering with AI, wed love to have you on board the rocketship
What youll do:
Architect metadata-aware data platforms that support scalable and observable pipelines
Create and evolve knowledge graphs, schemas, and lineage tracking systems
Drive the teams expertise in data modeling, schema evolution, and privacy-first engineering
Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
Build and maintain data foundations for agentic AI systems.
Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
Collaborate with internal teams across platform, product, and data domains.
Requirements:
5+ years of hands-on experience in backend, data engineering, or data platform engineering roles
Deep knowledge of data modeling, pipeline architecture, and data operations
Proficiency in public cloud environments such as AWS and GCP, working with tools like Athena, EMR, BigQuery, Vertex AI
Familiarity with data governance and schema evolution
Solid backend engineering foundations, with the ability to design robust services and APIs
A collaborative mindset, curiosity, and drive to learn and lead
Bonus points
Familiarity with metadata frameworks (DataHub, OpenMetadata, DataPlex, etc)
Passionate about building or integrating LLM-based systems (LangChain, RAG, vector DBs, etc.)
Recommended by an employee.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Herzliya
Job Type: Full Time
we are a global fintech company (NASDAQ; TASE: NYAX) and a leading provider of cashless payment, consumer engagement, and business management solutions for the unattended retail sector.
We are looking for a Salesforce Business Analyst to join the CRM (Salesforce) team, which is responsible for supporting global company users and is in charge of global business processes.
This position is a temporary maternity leave cover with potential for extension based on business needs.
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.
Key Responsibilities:
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. we are looking for a Salesforce Business Analyst to join the CRM (Salesforce) team, which is responsible for supporting global company users and is in charge of global 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.
Requirements:
+2 years of practical experience as a Salesforce administrator and implementer.
A solid understanding of business processes.
Experience managing Information Systems projects and application implementation.
Ability to translate business requirements into technical designs.
Excellent interpersonal skills and a team player.
Strong self-learning abilities.
Good analytical skills.
Excellent verbal and written communication skills in English.
Creative thinking and cognitive flexibility.
Nice to have:
Familiarity with marketing automation systems such as HubSpot, Pardot, and Marketing Cloud.
Knowledge of data querying, SQL, and SOQL.
Salesforce certifications.
BSc in Industrial Engineering or Information Systems.
This position is open to all candidates.
 
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28/08/2025
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are seeking a highly skilled and data -driven data Analyst to join our R&D data group and play an extremely important role as your insights and findings will be crucial for our growth and success What Will you be doing:
* Work closely with managers to define research goals
* Analyze and process big amounts of data and use it to give actionable insights.
*  Preparing final analysis reports for the stakeholders to understand the data -analysis steps, enabling them to take important decisions based on various facts and trends.
*  Develop and integrate data analysis method and know how across the company internal divisions
* Create, and maintenance customized dashboards for monitoring and process management purposes
*  Educate and training for all data analyst across the company

Country:
Israel

City:
Herzliya
Requirements:
*  Love data and numbers!
*  Industrial and management or Computer Science engineer or similar
*  4-6 years of experience as a Business/Product/ data Analyst or a similar role - must
* Advanced proficiency level of SQL and Hands-on experience in using BI /Analytics tools - must
*  Experience using Python for advanced data analysis with large datasets - must
*  Exceptional analytical skills, problem-solving skills, critical thinking skills, detail-oriented, creative, resourceful, and a quick learner.
* Advanced level of English must
*  Experience in working with product, development and data teams an advantage
*  Experience in statistics an advantage SolarEdge recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. SolarEdge is committed to seeking out and retaining the finest human talent to ensure top business growth and performance.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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17/09/2025
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a skilled data engineer to join a cutting-edge project supporting a military technology unit. This role offers a unique opportunity to work on innovative cloud-based data infrastructure within a secure and challenging environment.

Responsibilities:
Data Infrastructure Development: Design, build, and manage advanced data infrastructure in Google Cloud Platform (GCP) to support the operational and analytical needs of the units clients.
Data Pipeline Engineering: Develop robust and scalable data pipelines in GCP, perform integrations with diverse data sources, and enable AI/ML workflows using tools such as Dataflow, Pub/Sub, and BigQuery.
ETL & DWH Automation: Improve, optimize, and automate ETL processes and data warehouse operations in the cloud.
Cross-Organizational Tech Support: Participate in high-impact, cross-organizational technology projects in a dynamic and innovative technical environment.
Requirements:
At least 2 years of experience as a Data Engineer.
Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and the ability to implement solutions across diverse environments.
Experience with CI/CD tools such as Jenkins, GitLab CI/CD, Azure DevOps, Cloud Build, or GitHub Actions.
Strong knowledge of SQL, including writing complex queries and performance optimization.
Proficiency in Python, including experience with data processing libraries such as Pandas.
Hands-on experience in building ETL processes and integrating various data sources.
Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
Experience in designing and implementing Data Warehouse infrastructure.
Ability to understand and implement data workflows on cloud platforms.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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26/08/2025
חברה חסויה
Location: Herzliya
Job Type: Full Time
Were expanding our Data & AI group and looking for a passionate and skilled Data & AI Engineer to join our mission. This is a unique opportunity to work at the intersection of data engineering, machine learning, and cybersecurity innovation.
You'll work on:
Data Infrastructure & Engineering: Design, build, and scale production-grade data pipelines using Databricks and Spark. Ensure high levels of data integrity, system performance, and platform reliability.
AI & ML Collaboration: Collaborate with Data Scientists, Security Researchers, and Engineers to transform and deliver data for ML and GenAI model development. Build proof-of-concepts (POCs) to streamline operations such as model debugging, visualization, and experimentation.
Innovation & AI Systems: Prototype and integrate agentic workflows and LLM-powered systems (e.g., RAG, AWS Bedrock, LangGraph). Identify and develop intelligent, data-driven features that provide actionable insights to customers.
Requirements:
Deep understanding and hands-on experience with data lake architecture, real-time and batch processing.
Familiarity with tools like Spark, Kafka, Databricks, and SQL.
Experience designing systems powered by LLMs (e.g., OpenAI, Anthropic).
Skilled in Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, vector databases, and LLM orchestration frameworks (e.g., , LangGraph, OpenAI Agents SDK).
Understanding of multi-agent design, memory, tool-use orchestration, and autonomous reasoning agents.
3+ years of Python development experience in production environments.
Proficiency with Git, CI/CD practices, and deploying data/ML pipelines at scale.
Experience maintaining scalable, reliable ML/AI workflows in cloud-native environments.
Background in cybersecurity, threat intelligence, or exposure to security-focused data models - advantage
Strong grasp of non-functional requirements: performance, reliability, scalability, observability. And awareness of COGS optimization and FinOps practices in SaaS data systems - advantage
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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14/09/2025
חברה חסויה
Location: Herzliya
Job Type: Full Time
an innovative, data -oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. We are expanding rapidly our teams and business and are focused on adding like-minded, result-oriented, and high achievers talents. Are you an individual with a great personality, self-motivated, and a positive approach? Can you face and overcome challenges, agility, and focus that is required in a rapid-growth environment? If your answer is YES, we might be a good match!?Your Impact & Responsibilities:
* Work closely with marketing team, as well as - Product, BI, Monetization, and management, serve as our data focal point
* Collect, refine, and analyze large, complex data sets representing users behavior, see beyond numbers, and help to inform, influence, support, and execute our business decisions
* Plan and analyze effective A/B tests in order to improve business KPIs
* Build reports and dashboards to monitor product performance, key business metrics, and User Experience
* Be proactive and provide actionable recommendations and conclusions from app data to shape features, future product roadmaps, and business strategies

Advantages:

* Experience working with BigQuery
* Experience working with Power BI
* Experience working in cloud environments (GCP/AWS/Azure)
* Experience in Python or any other scripting language
* Experience with subscription based company (B2C)
Requirements:
* More than 3 years experience as a data analyst,preferably in the digital advertising industry.
* Bachelor's degree in a quantitative field such as Statistics, data Science, Computer Science, or a related field.
* Full Proficiency in SQL and data visualization tools (e.g., Tableau, Power BIgreenTxtBg!).
* Experience with analyzing user acquisition platforms (e.g. Google ads, Taboola, Meta)
* Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
* Excellent communication skills to convey findings and recommendations to both technical and non-technical stakeholders.
* Attention to detail and a commitment to data accuracy and integrity.
* Ability to work collaboratively in a cross-functional team environment.
This position is open to all candidates.
 
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