לוח משרות דרושים מומחה BI משרה מלאה, לחיפוש זה נמצאו 59 משרות

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data foundations end to end - from raw data to semantic layers
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy

As a Data and BI Analyst at our company, you will own the full analytics lifecycle- partnering with stakeholders to define business questions, exploring and modeling data, building scalable BI assets, and delivering clear insights that influence decisions.
You will work within the BI function to ensure consistent metrics, reliable pipelines, and high-quality dashboards while collaborating closely with teams across Product, R&D, Customer Success, Sales, Finance, and Operations.
This role is ideal for someone who is both highly analytical and business-oriented, with a passion for transforming complex data into compelling stories and actionable recommendations.
What will you do?
Analytics and Insights
Translate business needs into analytical frameworks, uncover trends, and deliver insights that directly drive strategic decisions.
Design, build, and maintain dashboards, reports, and KPI frameworks for recurring revenue metrics (ARR, expansion, churn), product usage, operational efficiency, and customer health.
Build clear, concise narratives- turning complex findings into insights stakeholders can act on immediately.
Conduct deep-dive exploratory analyses to identify opportunities, risks, anomalies, and patterns that influence product direction, GTM execution, and operational improvements.
Data Modeling and Data Quality
Contribute to the development and improvement of data models in the DWH, ensuring accuracy, performance, and consistency.
Collaborate with BI Engineers on dbt-based data transformations, metric standardization, and documentation.
Cross-Functional Collabration
Partner with Product, R&D, Customer Success, Finance, Sales, and Marketing to define KPIs, measurement strategies, and success metrics.
Work closely with operational teams to translate events or issues into their business impact and provide actionable recommendations.

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 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