לוח משרות דרושים מומחה BI

we are looking for a Data Engineer to join our growing BI team. This role goes beyond building pipelines. You will help shape our data platform as a shared product - supporting analytics, reporting, and decision-making across key company data domains such as Product, Sales, HR, and others. Your work will directly influence how stakeholders interact with data today and how the platform evolves in the years ahead.

What Youll Be Doing

Architect & Own: Lead the design and development of scalable data warehouse and BI solutions. You will make early-stage architectural decisions and own their long-term impact.
Infrastructure as a Product: Build core data infrastructure and developer experiences that others rely on, ensuring high availability and system reliability.
End-to-End ELT/ETL: Solve complex integration problems by sourcing data from structured and unstructured sources using Rivery, Python, and optimal ETL patterns.
Data Quality & Governance: Implement frameworks for schema evolution, anomaly detection, and data freshness. You will determine security models based on privacy requirements and evolve governance processes.
Strategic Collaboration: Partner with Engineers, Product Managers, and Data Analysts to conceptualize data needs and represent key insights in a meaningful way.
Optimization: Assist in owning production processes, optimizing complex code through advanced algorithmic concepts to manage operational cost-benefit tradeoffs.

looking for a Data Engineer to help build and scale our analytics data infrastructure. In this role, you will work closely with analysts and business stakeholders to design reliable data models and support the development of a centralized semantic layer used across the company.

You will play a key role in improving the structure, reliability, and usability of our data stack. This includes building and maintaining dbt models, supporting data pipelines, and ensuring analysts have access to clean, well-documented, and consistent data.

This role is ideal for someone who enjoys working at the intersection of data engineering and analytics - translating business needs into scalable data models and enabling teams to move faster with trusted data.

Responsibilities

Design and implement data models that support analytics across key business domains such as GTM, CX, and Finance
Build and maintain transformation workflows using dbt
Work closely with analysts to translate business questions into scalable and reusable data models
Help define and implement a structured semantic layer that enables consistent metrics across the company
Improve the reliability and clarity of the analytics data stack by centralizing logic into well-designed data models
Support the ingestion and transformation of data from various sources using tools such as Fivetran and Airbyte
Contribute to improving data quality, monitoring, and documentation practices
Help establish best practices for analytics modeling and data usage across teams
Actively leverage AI tools (e.g. Cursor, LLM-based assistants) to improve development speed, data modeling, and data workflows

We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across.
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build our next-generation data stack.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals

seeking a senior staff BI analyst to join our team. we are in search of an individual with exceptional analytical skills and a profound understanding of information systems architecture. if you are highly motivated and seeking a place to make a significant impact with your career, we encourage you to explore this opportunity.
what you'll be doing:
leading the architectural design of complex, scalable data solutions for enterprise-level environments
evaluating and implementing advanced technologies to drive innovation and enhance organizational analytical capabilities
developing end-to-end business intelligence solutions, from requirements gathering to delivery, which includes requirements definition, modeling, data warehousing, data development, and creating analytics in visualization applications.
collaborating closely with internal business and it partners globally to analyze complex business problems and provide effective data -driven solutions.
providing visualization solutions using tools such as tableau, power BI, and other in-house developed tools.
designing and maintaining data models, ensuring data accuracy and consistency across the organization.
creating and optimizing ETL (extract, transform, load) processes to integrate data from various sources into the data warehouse.

Our data & AI Division is Hiring a BI Developer
Were looking for a talented BI Developer to join our growing data & AI division and help drive data -driven decision-making across the organization.
In this role, youll be responsible for designing, building, and maintaining impactful dashboards and reports that support business needs and strategic goals. Youll work closely with cross-functional teams to understand their requirements and translate them into scalable data solutions. This includes managing BI projects end-to-end, working with databases, ETL workflows, and visualization tools to deliver actionable insights. If youre passionate about turning data into meaningful outcomes and thrive in a dynamic, collaborative environment-wed love to hear from you!

abra is seeking for an Credit Data Repository Developer The position involves developing and maintaining regulatory reporting processes, working with ETL processes, data analysis, and implementing decision-support solutions. The role includes working with large volumes of data and core enterprise systems. Full-time position, Sunday–Thursday, located in Lod.

A fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care- from the hospital to the home. We are seeking an Information Systems Specialist who is hands-on, business-oriented, and passionate about delivering effective system solutions that support global business operations. In this role, you will take a key part in supporting and enhancing our core business applications. Youll work across the Business Applications team and collaborate closely with users and stakeholders across our global offices to improve processes, lead implementations, and ensure high-quality system delivery.
Job Description
The Information Systems Specialist will be part of the Business Applications team and will play a central role in supporting, improving, and implementing business systems across the organization. This position combines day-to-day application ownership with project leadership responsibilities, including analyzing business needs, designing solutions, leading module or process implementations, training end users, and ensuring successful delivery. Job Responsibilities Serve as a key application specialist for SAP ByDesign and salesforce, including support, configuration, enhancement, and ongoing improvement. Own and manage selected in-house applications. Gather business requirements and translate them into system solutions. Lead implementation of modules and business processes from concept and design through testing, user training, go-live, and post-launch support. Support global users across multiple regions, primarily in the US, France, and UK. Prepare functional specifications, process documentation, training materials, and user guides. Work with internal teams and external partners on system changes and projects.

Were looking for a hands-on Senior BI Engineer with a can-do attitude to shape data strategy and transform complex datasets into actionable insights that drive key business and product decisions. Youll collaborate closely with data engineers, product teams, and business stakeholders to modernize our analytics stack and deliver trusted, impactful insights across the company.
Your Impact
Own and evolve BI stack, data models, and reporting infrastructure to enable data-driven decision-making.
Define and govern core business metrics to ensure consistency and reliability across all teams.
Lead analyses across product, marketing, and revenue functions to identify growth opportunities and optimize performance.
Build intuitive dashboards and champion analytics best practices for technical and non-technical stakeholders.
Improve data quality, lineage, and governance as the company scales.