לוח משרות דרושים Business Intelligence בתל אביב יפו

We are looking for a BI Developer with 2 years of experience, strong technical skills, and a high motivation to learn and grow.
The role involves developing, maintaining, and improving BI processes across the organization, while working closely with multiple teams to implement new, cross organizational data solutions.
Responsibilities:
Develop and maintain reports and dashboards using Power BI to support data analysis, insights, and decision making.
Optimize queries and data processes to ensure high system performance.
Integrate data from multiple source systems into the companys BI environment.
Support and improve reporting and analytics processes for internal teams and project managers.
Work closely with business and technical stakeholders to understand business needs and translate them into BI solutions.

We are looking for a BI Team Lead to take ownership of our BI team, including technical leadership, prioritization, and stakeholder collaboration

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.

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