דרושים » מערכות מידע » Analytics & BI Engineer

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.

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.

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.

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

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: Is my data safe?
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Key Responsibilities:
Design and implement scalable data processing pipelines using Azure Databricks and other modern data platforms to power real-time analytics and insights.
Push boundaries by pioneering new technologies and stretching existing ones to their limitsbe a trailblazer in data innovation.
Design, build, and maintain scalable data processing and analytics infrastructure and pipelines, optimizing for performance and cost efficiency.
Collaborate cross-functionally with software engineering, product, and research teams to understand data needs and ensure data solutions meet business requirements.
Engage with strategic customers, ensuring our data solutions meet high standards and deliver measurable value in real-world environments.

What were looking for:
Analysis and optimization of raw/metadata according to the company requests
Development of dashboards, KPIs and metrics
Someone to come up with new ways to use our data to create value for our users
Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
Work with our engineering teams to improve the visibility, serviceability, and quality of our product
Monitoring customers env. logs and product metrics to alert about changes/issues
Monitor customers on-prem and Cloud production environments
Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
Familiarity and/or implementation experience with tracking and data collection techniques .

We are looking for a talented and experienced big data engineer to join our cyber defence group to take over a cutting-edge data solution.
The successful candidate should have hands-on experience with big data processing technologies and architectures.
The candidate will join our growing team of analysts, developers, data scientists, and architects who design and develop innovative solutions to the most critical needs of our customers.
Responsibilities:
Designing, architecting, implementing, and supporting our data pipelines and processing flows.
Collaborate with analytics department to analyze and understand data sources.
Provide insights and guidance on database technology and data modelling best practices.
Insure the maintenance of data integrity, managing data and analysis flows with attention to detail and high responsibility.
Implementing algorithms with our data scientists.

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.

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.