לוח משרות דרושים Business Intelligence

we are seeking experienced BI Implementers and Developers for full-time positions in diverse dashboard development and BI implementation projects, with a strong focus on hands-on work in an enterprise BI environment.

We are seeking a skilled BI and Integrations Developer to join our Information Systems team. In this role, you will be responsible for designing, developing, and maintaining scalable Business Intelligence (BI) solutions and integration workflows across our application ecosystem. You will leverage platforms like Power BI, Workato, and Azure and work with data from systems including Salesforce, Microsoft Dynamics 365, and Atlassian tools (Jira, Confluence).
This role is ideal for someone who thrives at the intersection of data, process automation, and cross-platform integration.
Key Responsibilities:
Business Intelligence Development (Power BI & Azure)
Design and develop insightful dashboards and reports using Power BI based on business requirements.
Connect, model, and transform data from various sources (Dynamics 365, Salesforce, Jira, Azure SQL, etc.).
Implement row-level security, data refresh scheduling, and optimization techniques.
Collaborate with business stakeholders to define KPIs and BI use cases.
System Integrations (Workato, Azure Logic Apps, APIs)
Build and maintain robust, low-code/no-code integrations using Workato.
Develop custom connectors, workflows, and recipes to automate business processes between SaaS systems (e.g., Salesforce <-> Dynamics, Jira <-> Confluence).
Monitor integration performance and resolve failures or latency issues proactively.
Support API-based data exchange and process orchestration using Workato
Collaboration & Support
Work closely with Sales and Operations teams to enable data transparency and operational automation.
Provide documentation, training, and technical support for BI and integration solutions.
Maintain data quality and consistency across connected platforms.
Drive initiatives around process improvement and digital transformation.

A fast-growing global SaaS company transforming device lifecycle management for telecom operators. With 80 employees in Israel and 40 more around the globe, were building the future of telecom infrastructureand were looking for exceptional leaders to help us scale.We are looking for a product oriented, strategic & Hands On Head of data & BI to scale our data domain and work with Product, R&D & post-sale teams.This is a leadership role where youll shape BI strategy and own the technical direction of our data systems. From defining the roadmap and building scalable BI solutions to collaborating with product, R&D, and execsyoull play a central role in turning complex data into business impact.

we are looking for a BI developer to join us!
The candidate will:
Define KPIs and create reports and dashboards against large data sets.
Build and maintain reports, dashboards, and metrics to monitor product performance.
Create readable and informative data visualizations to communicate data insights to the marketing team.

Were looking for a BI Developer to join our company. This is a hands-on, cross-functional role focused on owning and improving our data quality, pipeline reliability, and modeling infrastructure. Youll be responsible for managing and optimizing our DBT models, ETL processes, and data connectors - and will work closely with product, operations, and engineering teams to ensure data is accurate, consistent, and accessible.

You should be someone who thrives on autonomy, takes pride in clean and scalable solutions, and enjoys helping others get the data they need.

In this role you will
Own and maintain our DBT models and data warehouse structure
Build and monitor data pipelines and connectors from various internal and external systems
Ensure high standards of data quality, consistency, and documentation
Collaborate with engineering, product, and operations teams to understand needs and build data solutions
Proactively detect data issues and work to resolve them
Help define and improve internal data best practices and standards
Support data governance efforts and advocate for trustworthy, well-modeled data