דרושים » מערכות מידע » Qlik Developer

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.

Core Responsibilities
Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.
ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.

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!

Were looking for a Power BI Developer to design, build, and maintain business-critical dashboards and analytics solutions across our SaaS products and internal operations.
This role is focused on Power BI, DAX, and business-facing analytics.
Youll work closely with Product, Finance, Sales, and Operations teams to translate business questions into clear metrics, dashboards, and insights that drive decision-making.
Your mission:
Design, build, and maintain Power BI dashboards and reports
Develop advanced DAX measures and calculations
Build optimized data models and reusable datasets
Ensure performance, accuracy, and scalability of reports
Partner with stakeholders to understand reporting and analytics needs
Translate business requirements into KPIs and actionable insights
Analyze customer and product data to identify trends and opportunities
Create tailored dashboard views for different personas (executives, product, sales)
Work with SQL-based data sources and collaborate with data engineers
Validate data accuracy and consistency across sources
Present insights in a clear, concise, and compelling way

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.

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.

Eitan Medical is 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 a Business application 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. You’ll 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 Business application 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.

We are looking for a professional and enthusiastic BI Developer to join our team!
Job Id: 25366
The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions and AI agents. You will help create and manage data processes for actionable insights and operational needs.
If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.
Key Responsibilities
As a BI Developer, you will be responsible for:
End-to-End Solutions: Design, build, and maintain easy-to-use data solutions. This includes orchestration, data modeling, dashboards, building data agents, monitoring, alerting, and experimentation models.
AI Integration: Actively use AI tools to accelerate development-from writing optimized SQL and automating repetitive tasks to building intelligent agents.
Collaboration: Work effectively with cross-department stakeholders to capture analytical requirements and translate them into technical reality.
Insights: Analyze complex datasets to provide useful, actionable recommendations that drive business value.

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

We're looking for a skilled BI Developer to design and maintain our data layer. In this role, you'll translate complex business needs into powerful, actionable insights, collaborating with various teams to deliver solutions that drive informed decision-making. If you're a proactive problem-solver with a passion for leveraging big data technologies, this is a great opportunity to make a real impact in a dynamic, data-rich environment.
Hybrid
Full-time
What youll do: 
Design, develop, and deploy end-to-end BI and analytics solutions in the Google Cloud environment, primarily using BigQuery, dbt, and Looker, across the full lifecycle: data transformation, modeling, testing, and production deployment.
Translate business requirements into technical specifications, including defining data models, establishing relationships between data entities, and incorporating business logic into the analytical layer.
Provide ongoing BI support to the Finance department, including preparation of monthly reports, ad hoc analyses, and compliance with regulatory requirements.
Develop and maintain data pipelines to support BI solutions.

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