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We are seeking a highly motivated and experienced BI & Data Engineer to join our fast-growing Data team. Reporting to our Development Team Leader. You will be supporting the team on all Data, pipelines and reports. Help turn raw data into business insights. Managing and designing BI solutions, including ETL processes, Data modeling and reporting. Our BI & data Developer would also enjoy our future data technological stack like: Airflow, DBT, Kafka streaming, AWS/Azure, Python, Advanced ETL tools and more.
Responsibilities:
Gathering requirements from internal customers and designing and planning BI solutions.
Develop and maintain ETL/ELT pipelines using Airflow for orchestration and DBT for transformation
Design and optimize data models, ensuring performance, scalability, and cost efficiency.
Collaborate with BI developers, analysts, AI agents, and product teams to deliver reliable datasets for reporting and advanced analytics.
Development in various BI and big data tools according to R&D methodologies and best practices
Maintain and manage production platforms.

We are looking for a hands-on, strategic Business Application Manager with a proactive, ownership-driven mindset. Someone who takes initiative, thinks beyond the immediate task, and translates data into real business impact.
This role requires a unique mix of systems expertise, project management, and analytical skills. Youll not only implement and optimize our platforms but also analyze ROI, create data-driven case studies, and help leadership make informed decisions.
Reporting to the VP of Customer Success, youll work cross-functionally with Sales, Marketing, Finance, Procurement, and Operations to ensure the company has the right tools, workflows, and insights to scale effectively.
This is part project manager, part systems owner, and part business analyst. Youll lead end-to-end implementations, integrate platforms like Salesforce, Intercom, Quicksight, create dashboards and reports, and drive process optimization across the business.

we are looking for a BI Frontend Tech Lead to join our data group!
our companys data group is in the middle of an exciting technological transformation. This transformation includes moving from an old school BI tool to a modern platform, remodeling our semantic layer, introducing conversational AI analytics and much more.
As our BI Frontend Tech Lead, you will be right in the middle of this transformation, as the owner of our new technologies and tools. You will define methodologies and best practices and enforce them. You will take part in the design, build and go-to-market of our new data models and applications. As the professional guide for the analyst teams, you will work closely with analysts across all domains, as well as the BI backend team responsible for the DWH. You will work with our business stakeholders, promoting adoption and usage of our data products.
Responsibilities:
Own our new BI tool (Sigma) as the professional expert, working with both the analysts and Sigma team to maximize productivity
Assimilate the new BI tool with our business stakeholders to provide maximum value
Own our Semantic model, via BI data models and later by introducing a semantic layer external tool (e.g. DBT semantic layer, Honeydew,..)
Define and enforce methodologies and best practices both for building data models and dashboards
Own our conversational AI analytics solution, ensuring it provides accurate and usable answers
Introduce additional AI based tools to enhance analysts efficiency, accuracy and productivity.

We are looking for an experienced, proactive, and technically skilled Senior BI Engineer to take ownership of data products and business knowledge across our multi-brand ecosystem. You will be instrumental in designing the data architecture that drives global innovation and growth across the entire company.
What You Will Own and Deliver:
As a Senior BI Engineer, you will operate as a strategic partner, deeply leveraging our value of being obsessed with Data.
Domain Data Ownership: Become the go-to expert for high-impact domains like B2C Marketing and Supply, deeply understanding their metrics, business logic, and data needs to build comprehensive, accurate, and consolidated data models across all Travelier brands.
Strategic Architecture & Modeling: Design DWH to be AI-first, accessible by agents. Design, develop, and maintain advanced, scalable data models and ETL pipelines within our Google Cloud Platform (GCP) environment, focusing on performance, reliability, and cost optimization for petabyte-scale data. Modern Data Stack Implementation: Drive the adoption and best practices of our modern data stack, specifically leveraging DBT for data transformation, testing, and documentation, and Airflow for robust pipeline orchestration.
Executive-Level Product Development: Partner directly with executive management and business leaders across different global brands to translate complex, high-impact business questions into insightful, interactive BI products (semantic layers, self-service data models).
Technical Leadership & Mentorship: Act as a technical leader, mentoring junior team members on data modeling, SQL optimization, and data governance.
Data Governance & Quality: Enforce data governance standards, ensuring data quality, accuracy, and reliability across all owned domains in a consolidated environment.

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

What youll be doing
As a BI Engineer on our team, you'll collaborate with talented professionals dedicated to pushing boundaries and creating advanced solutions. You'll also play a key role in pioneering the adoption of cutting-edge AI-driven tools and processes, proactively advocating for innovative solutions, LLM-based scripting, and efficient AI workflows. Your early-adopter mindset will be essential in shaping the future of data-driven excellence at our company.
Collaboration and Communication: Work closely with data analysts, data scientists, tech, finance and business stakeholders to understand their data requirements to build and deliver data infrastructure, reports and insights that meet their needs.
ETL Processes: Develop highly scalable complex data pipelines to integrate data from multiple sources, ensure that data is accurately extracted from source systems, transformed into the required format, and loaded into the data warehouse (DWH) (using DBT, Git). It also includes verification and monitoring of data quality (Elementary).
Implement GenAI solutions: As part of the job, you will implement new solutions and tools to improve the efficiency of the teams, support self-service for the users and provide insights easily, automatically and quickly.
Data modeling: Responsible for the model, design, implementation, maintenance and improvement of the data warehouses, as well as ensuring the integrity and security of data. Support users needs, including performance and monitor cost
Business Analytics Tools: Design and implement BI tools across the company. Troubleshooting and optimizing the tools and systems to improve performance. This includes ensuring that the reports and dashboards are running efficiently and meeting the user's needs (using ThoughtSpot, Hex)
Staying Updated with Industry Trends: Keep up with the latest trends and technologies in data solutions, analytics and business intelligence to ensure that our company stays ahead in leveraging data for business decisions. Continuously questioning assumptions, processes, and outcomes to uncover hidden opportunities or potential issues.

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 seeking an experienced Data Engineer with a strong background in BI and Data Engineering, excellent problem-solving skills, and the ability to work independently and learn quickly.
Role Overview
You will join a dynamic team responsible for designing and implementing end-to-end data solutions on the Microsoft Fabric platform. This role involves:
Building and maintaining robust data processes.
Driving adoption of new technology within the organization.
Ensuring scalability, performance, and reliability of data solutions.
Responsibilities:
Collaborate with leaders, stakeholders, and product managers to understand data requirements and deliver effective BI solutions.
Design, develop and maintain robust data pipelines for efficient data ingestion, processing, and storage.
Optimize data storage and retrieval processes for optimal performance.
Monitor data pipelines and systems consistently to identify performance issues, ensuring timely maintenance and troubleshooting.
Create and maintain documentation of data processes and systems.

We are seeking a Senior Business Intelligence Specialist to partner up with our team of Business Intelligence and QA Specialists and collaborate effectively to ensure the accuracy, quality, and performance of our partnership intelligence dashboards. This role will be instrumental in ensuring our data solutions drive key business decisions for our clients, providing oversight and guidance to ensure the teams effectiveness in monitoring affiliate performance data.
As a key member in our team, you will manage and lead quality assurance processes, provide actionable insights, and help streamline data monitoring and alert systems. If you have a passion for improving processes, and driving data accuracy in consumer intelligence, we want to hear from you!
Responsibilities:
In-Depth Data QA and Oversight: Continuously evaluate and improve data monitoring and QA processes to enhance team efficiency and data quality. Implement best practices and create standard operating procedures for data verification, analysis, and alert management.
Quality Assurance Supervision: Oversee the regular QA checks conducted on partnership intelligence dashboards to ensure data integrity and consistency. Take a proactive role in resolving discrepancies and ensure the timely delivery of accurate reports.
Data Analysis & Reporting: Lead the analysis of trends and patterns in affiliate performance data to uncover areas for improvement. Prepare and present findings to internal teams in an easily understandable format.
Alert Management Oversight: Supervise the alert management system to ensure relevant alerts are delivered accurately to clients in a timely manner. Work with the team to assess the impact of alerts and determine corrective actions based on client preferences.
Cross-Functional Collaboration: Work closely with internal teams to foster communication and collaboration, ensuring alignment between the QA team and other departments such as R&D.

This is a full-time/Part time role for a Qlik BI Developer Project Manager located on-site in Tel Aviv District, Israel. The Project Manager will be responsible for overseeing QlikView, Qlik Sense and Qlik Saas projects, working with cross-functional teams to identify business opportunities and provide customized solutions. The job includes managing timelines, and deliverables throughout the project lifecycle, ensuring that projects are completed on time, within scope.

What Youll Be Doing:
Help improve our analytics practices by gathering better data, making it more trustworthy and accessible, and nurturing a top-grade data culture across the company.
Design, develop, scale, and optimize the data pipelines, ETLs and various data models.
Use SQL, DBT, Python and any other relevant tools and technologies.
Identify blind spots in how we use data and lead initiatives to illuminate them.
Collaborate with various stakeholders across the company to translate requirements into high-quality data pipelines and models.
We are currently rebuilding and redesigning much of our tech-stack and processes. Play a major role in designing the future data-work within the company.

we are seeking a BI Director to lead and expand our Business Intelligence capabilities within the Information Systems department. This leadership role combines strategic vision with technical expertise, overseeing BI strategy, architecture, and execution while managing teams and working closely with business leaders. The ideal candidate will be both a strong leader and a hands-on expert, capable of driving our companys data ecosystem to the next level.
What will your job look like:
Define and own the company-wide BI strategy, roadmap, and vision, aligning with our companys growth.
Lead, mentor, and grow global BI teams, including data engineers, BI developers, and analysts.
Present actionable insights and recommendations to stakeholders and executives to translate business needs into scalable BI and analytics solutions.
Oversee the architecture, design, and implementation of BI and data platforms (Data Warehouse, ETL/ELT processes).Stay hands-on with BI tools and technologies, setting technical standards and ensuring best practices in data modeling, reporting, and system performance.
Establish and enforce data governance, security, and quality frameworks across the organization.
Promote adoption of self-service BI, advanced analytics, and data-driven culture across departments.Evaluate, integrate, and optimize new BI and data technologies to ensure scalability and innovation.