לוח משרות דרושים מומחה BI משרה מלאה, לחיפוש זה נמצאו 58 משרות

Were looking for a Data Engineer 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
Architect our entire DBT project and data warehouse structure completely from scratch-a rare, high-impact opportunity
Lead data modeling efforts: Translating business needs into scalable, reliable data models
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
You will be one of the pioneers of a new team - passion & energy is required

Were looking for a BI & Data Engineering Team Lead to join our BI team and take end-to-end ownership of high-impact analytics foundations while mentoring a team of 4-6 talented BI Data Engineers. 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.

In this role, you'll combine people leadership with hands-on technical depth (roughly 30% of your time), owning the roadmap, architecture, and delivery of BI platform. Youll shape how AI and agentic workflows transform the way BI is built and consumed, helping 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 while leading and growing people
You like turning ambiguous business questions into clear, governed metrics and scalable data models
You care about data quality, performance, and trust at scale, as well as optimization and FinOps practices
You enjoy mentoring, setting technical standards, and leading by example with a hands-on approach (~30%)
You actively leverage AI tools and agentic automations to improve development speed, analytical accuracy, and metric governance

We are looking for an Experienced Backend Engineer to join our Data Foundations team.

What Youll Do:
Dive into the heart of engineering core as a pivotal member of our team, dedicated to constructing the internal tools and services that are the cornerstone of our data-centric universe. Your role is at the intersection of innovation and collaboration, focusing on creating sophisticated solutions that streamline data versioning, enhance data processes, and facilitate seamless interactions across all data teams. In this team, you will be building the robust framework that enables all other teams to manage and leverage data with unprecedented efficiency and accuracy. Your contributions will not only improve our internal workflows but also amplify the impact of our data on client success.

Who We're Looking For - The Dream Maker
As a Senior BI Analyst , you will own the companys BI layer end-to-end-turning business questions into trusted metrics, decision-ready dashboards, and proactive monitoring that helps teams move faster with confidence in the numbers.
You will be responsible for the following key areas:
Metrics & Definitions (Single Source of Truth): Define, standardize, and document KPIs (logic, grain, filters, edge cases) so the company aligns on what good looks like and avoids metric drift.
Dashboard Delivery & Storytelling: Build and maintain accurate, performant dashboards that surface trends, risks, and root-cause signals (not just charts).
Data Quality & Observability: Implement data quality checks, anomaly detection, and alerting to catch issues before they impact decision-making.
Stakeholder Partnership: Run a clear BI intake/triage process, manage priorities, and communicate tradeoffs and timelines across Product, Finance, Ops, and Leadership.

Serve as primary point of contact for data analysis initiatives, esp. for Finance and Commercial related data. Gather requirements from stakeholders across the company and translate them into actionable specifications for dashboards and reports. Design, develop, and maintain reliable and scalable dashboards, visualizations, and data solutions that support decision-making. Author high-quality design documents for reports and semantic layers. Establish and enforce robust data governance framework to ensure data integrity, data privacy, and compliance Partner closely with stakeholders to review data on a regular basis and surface actionable insights. Lead and mentor business data analysts across multiple units, ensuring consistent methodologies and best practices. Monitor and improve data quality, resolving discrepancies across reporting systems. Collaborate with IT, data Engineering, and business teams to integrate and optimize data sources for reporting solutions. Stay current with emerging data technologies and methodologies Promote a data -driven culture by driving analytics literacy and recommending process and tool improvements. Contribute to the data strategy and roadmap.

Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker As a Senior BI Analyst at Chargeflow, you will own the company’s BI layer end-to-end—turning business questions into trusted metrics, decision-ready dashboards, and proactive monitoring that helps teams move faster with confidence in the numbers. You will be responsible for the following key areas: Metrics & Definitions (Single Source of Truth): Define, standardize, and document KPIs (logic, grain, filters, edge cases) so the company aligns on “what good looks like” and avoids metric drift. Dashboard Delivery & Storytelling: Build and maintain accurate, performant dashboards that surface trends, risks, and root-cause signals (not just charts). Data Quality & Observability: Implement data quality checks, anomaly detection, and alerting to catch issues before they impact decision-making. Semantic Layer for AI/LLM Enablement: Design and maintain a semantic/metrics layer (certified datasets, entities, dimensions, and business definitions) that enables safe, consistent self-serve analytics and unlocks reliable LLM-powered exploration and Q&A on company data. Stakeholder Partnership: Run a clear BI intake/triage process, manage priorities, and communicate tradeoffs and timelines across Product, Finance, Ops, and Leadership. Day-to-day activities
* Translate stakeholder questions into metric specs and dashboard requirements.
* QA metric outputs vs sources; investigate discrepancies and drive fixes.
* Build/iterate dashboards and underlying datasets/semantic definitions.
* Maintain KPI glossary/metrics dictionary and publish changes with clear comms.
* Set up and tune monitoring for critical pipelines/metrics; own follow-ups when alerts fire. Success indicators
* Stakeholders consistently use dashboards as the default source (not spreadsheets / one-off pulls).
* Core KPIs have one documented definition, clear ownership, and stable change management.
* BI requests become faster and more repeatable due to reusable certified assets.
* Data issues are detected proactively, with fewer “surprise” metric regressions.

As a Senior Data Engineer , you will play a key role in building and scaling the companys data infrastructure. Youll be responsible for creating the foundation that enables teams across the organization to access, analyze, and leverage data effectively. Working closely with Data Science, Delivery, Product, GTM, and Analytics teams, youll design and maintain data pipelines, manage our data warehouse, and transform raw data into structured, reliable assets that power business and product decisions.



What Youll Do

Build and Manage Data Infrastructure: Own and maintain Nomas data warehouse infrastructure, ensuring scalability, reliability, and performance
Develop Data Pipelines: Design, build, and maintain data pipelines that transform company data into structured, queryable assets
Enable Data-Driven Decisions: Partner with Engineering, Data Science, Product and Analytics teams to deliver trusted data foundations and actionable insights.
Create BI Dashboards: Build and maintain dashboards and reporting layers that support product, and operational decision-making
Ensure Data Quality and Accessibility: Implement best practices for data modeling, governance, monitoring, and reliability

We are looking for a hands-on BI Data Developer to design, build, and own the pipelines, models, and governed datasets that power analytics, business decisions, and AI use cases in a fast-moving SaaS environment.

You will own foundational data assets end to end, from ingestion and transformation through modeling, validation, delivery, monitoring, security, and cost optimization. This is a production-focused role where engineers own live systems, not only task-level deliverables.

What will you do:
Build and maintain production-grade Snowflake pipelines using incremental loading, CDC patterns, backfills, reconciliation, and idempotent processing.
Own data flows from Salesforce and other source systems into Snowflake, including ingestion, transformation, validation, monitoring, and delivery.
Model data into analytics-ready datasets, dimensional models, facts, dimensions, star schemas, and reusable business entities.
Develop core Snowflake objects.
Create governed, AI-ready semantic models and curated datasets for Cortex Analyst, Cortex Search, BI tools, and enterprise AI integrations
Apply Snowflake FinOps practices for cost-aware design.
Apply security and governance best practices, including RBAC, least privilege, masking policies, row access policies, secure views, auditability, and safe handling of sensitive data.
Partner with stakeholders to define certified metrics, source-to-target mappings, trusted data contracts, and reusable analytical entities.

we are looking for a Senior Engineer to architect the mission critical systems that translate massive data streams into financial reality.
What you'll be doing:

Design, build, and maintain scalable and resilient systems that handle high-volume data, while collaborating with teammates and individual contributors at Forter
Lead projects from concept to production, ensuring the highest standards of quality and financial integrity.
Work on data-driven initiatives that improve system performance, efficiency, and billing accuracy
Partner with Product and Business stakeholders to navigate technical trade-offs that directly affect Forter's bottom line.
Use AI coding tools as a natural part of how you work, reviewing, guiding, and improving AI-generated code is part of the day-to-day here
Help foster best practices and maintain a high standard of engineering excellence

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.

we are looking for a BI Team Lead.
The successful BI Team lead, will play a key role in managing and growing a team responsible for delivering impactful data products and solutions.
As a BI Team Lead, you will oversee the personal and professional development of your team, while also being the main point of contact for client-facing data initiatives. Youll drive data strategy and contribute to new initiatives that support cross-company objectives. This role involves collaborating with product managers, business stakeholders, and leadership to design, develop, and maintain scalable analytics solutions. You will also enhance the companys understanding of key business metrics by building automated tools and insightful visualizations in a rich data environment.
You will also be responsible for integrating AI and machine-learning capabilities into BI solutions, including developing automation processes and AI agents to support decision-making.

We are looking for a Data Engineer to join our team and help shape Trigos data platform.

You will own the data layer, evolve our BI semantic layer on a modern BI platform, and enable teams across the company to access and trust their data. Working closely with analysts and stakeholders in Operations, Product, R&D, and Customer Success, youll turn complex data into insights that drive performance and customer value.

A day in the life
Build and expand analytics data stack.
Design and maintain curated data models that power self-service analytics and dashboards.
Develop and own the BI semantic layer on a modern BI platform.
Collaborate with analysts to define core metrics, KPIs, and shared business logic.
Partner with Operations, R&D, Product, and Customer Success teams to translate business questions into scalable data solutions.
Ensure data quality, observability, and documentation across datasets and pipelines.
Support complex investigations and ad-hoc analyses that drive customer and operational excellence.

we are looking for a BI Engineer.
Main responsibilities:
Create dashboards and reports to visualize the data in BI platforms.
Extract data from various sources, including databases, APIs, and Excel files.
Clean, transform, and load the data into a data warehouse.
Build and maintain data warehouses to facilitate easier data analysis and reporting.
Create models to represent the data in a way that can be easily understood and analyzed.
Collaborate directly with executives and different stakeholders to create reports, and to present and generate insights.
Integrate systems to support company business flows.
Drive the adoption of AI-powered analytics and automation within BI processes to enhance reporting, data-driven insights, operational efficiency, and business decision-making.