BI Developer jobs in Tel Aviv-Yafo

Description About Port Port is the Agentic SDLC Platform. The way engineering teams build software is constantly evolving, and every new wave - such as AI agents operating across the SDLC- makes engineering more powerful, but also more complex and chaotic. Port turns that chaos into control: one platform to build, govern, and operate the software development lifecycle, enabling every team to move as fast as technology allows. Following our $100M Series C funding round, we are entering an exciting stage of significant growth and global expansion. As a product-led company, we believe the recipe for success is a world-class product that speaks for itself. About the role: We are looking for a BI Lead to join our Data team. You will define the metrics the company runs on, make sure they are modeled correctly, and set the technical standards our analysts work with. You'll work directly with Sales, Product, and Marketing leaders to align on what we measure and why. As our technical lead for analytics, you own the definitions and standards that drive business decisions across Port. As our BI Lead, you'll own the analytics function end-to-end: defining what we measure and why, setting technical and organizational standards for how we measure it, and empowering teams across the organization to make data-driven decisions. You'll be hands-on technically while also developing processes that scale. Key Responsibilities: • Define, own, and validate business logic behind core KPIs with executives, align definitions with relevant stakeholders, and once approved, model them in the data warehouse to ensure consistent, trusted metrics across all teams. • Work closely with stakeholders across the company (Sales, Product, Marketing, etc.) to understand what needs to be measured, why and how. • Collaborate with Data Engineers and Business Analytics to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling. • Lead the evaluation, selection, and optimization of BI and data infrastructure in collaboration with data engineering. • Build and maintain the cross-company dashboards and reports that business leaders actually rely on to make decisions. Requirements • 5+ years in analytics, BI, or data product management working in B2B SaaS companies, ideally developer tooling or platform. • Strong understanding of business analytics, KPI definition, and metrics design. • Proven experience owning data and analytics products end-to-end, from business problem definition and measurement strategy through strategy, development, and production. • Experience working with a modern data stack: warehouse (Snowflake or similar), dbt or an equivalent transformation layer, a semantic layer, and a BI tool. • Ability to translate business questions into analytical frameworks, metrics definitions, and dashboards. • Strong communication skills and stakeholder management across technical and non-technical teams, with the ability to communicate insights clearly to business leaders.

About At-Bay We are an insurance company built by cybersecurity experts, leveraging our technology and security expertise to better understand digital risks and, thus, build better insurance products and services. We help clients by providing insurance products, guidance on their security issues, and active risk management. Like software, digital risk is eating the world and we aim to empower businesses to thrive in this ever-changing landscape. We are distributed globally with hubs in San Francisco, New York City, Atlanta, and Tel Aviv. We have aggressive plans to scale our business and believe the best way to make that happen is to immediately invest in further developing our teams. The Role Our BI team is the backbone of how At-Bay makes decisions. We own the data warehouse and the models behind underwriting, pricing, claims, finance, sales and product analytics - and increasingly, the data that powers AI agents and self-serve analytics across the company. As a Senior BI Engineer, you will design and build the data models and pipelines that turn raw events from our platform and partners into trusted, well-documented data. You will partner closely with analysts, actuaries, product, and engineering, and help shape how we use modern tooling - including AI - to deliver data faster and more reliably. Responsibilities • Model the business: design and own dimensional and domain data models in Snowflake that serve as the single source of truth for key metrics. • Build reliable pipelines: develop incremental, tested and version-controlled transformations with dbt, Python and Airflow, ingesting data from internal services, SaaS tools and third-party APIs. • Own data quality: implement tests, data contracts, monitoring and alerting so stakeholders can trust the numbers. • Optimize performance and cost: tune queries, warehouses and models; keep Snowflake spend efficient as data volumes grow. • Enable self-serve and AI: build a well-defined semantic/metrics layer and clean, documented data that analysts, BI tools and LLM-based agents can query safely. • Work with AI-assisted tooling: use tools such as Claude Code / Copilot to accelerate development, and help the team adopt best practices around them. • Lead technical initiatives: drive POCs, migrations and architecture decisions, and raise the bar through code reviews and mentoring. • Partner cross-functionally: translate business questions from underwriting, finance, product and leadership into scalable data solutions. Requirements • 4+ years of experience as a BI Engineer, Analytics Engineer or Data Engineer • Expert SQL skills, including reading query plans and optimizing performance at scale • Strong experience in DWH design and dimensional modeling (Star schemas, SCDs, incremental loads) • Experience with Snowflake (performance tuning, cost management, RBAC) • Experience with orchestration tools such as Airflow, Dagster or similar • Hands-on experience with dbt in production (models, tests, macros, documentation) • Proficiency in Python for data pipelines, automation and integrations • Experience with Git-based workflows and CI/CD for data • Strong ownership - you take projects from ambiguous requirements to production • Excellent communication skills in English and Hebrew, and the ability to explain technical trade-offs to non-technical stakeholders Advantages • Experience with a semantic layer / metrics store and BI tools (e.g., Looker, Tableau, Power BI, Sigma) • Experience with data observability and quality tooling • Experience building data foundations for LLMs or AI agents (e.g., text-to-SQL, MCP, RAG over structured data) • Background in insurance, fintech or cybersecurity data • B.Sc. in Industrial Engineering & Management, Information Systems, Computer Science or a related field Our Stack Snowflake · dbt · Python · Airflow · PostgreSQL · MySQL · AWS · Git / GitHub Actions · AI-assisted development tools Location: Tel Aviv, Israel (near the train station and main bus stops) · Hybrid- 3 days in office What you'll get • A competitive salary and benefits package • A real impact on how a leading cyber insurer prices risk and makes decisions • A genuine emphasis on work-life balance — we mean it, not just say it • Beautiful offices in the heart of Tel Aviv, easily accessible by train and bus • Smart, passionate, and fun colleagues who take pride in their work • Challenges you won't find anywhere else we're a unique blend of a fast-moving tech startup, an international firm, and an insurance company

Description About Port Port is the Agentic SDLC Platform. The way engineering teams build software is constantly evolving, and every new wave - such as AI agents operating across the SDLC- makes engineering more powerful, but also more complex and chaotic. Port turns that chaos into control: one platform to build, govern, and operate the software development lifecycle, enabling every team to move as fast as technology allows. Following our $100M Series C funding round, we are entering an exciting stage of significant growth and global expansion. As a product-led company, we believe the recipe for success is a world-class product that speaks for itself. About the role: We are looking for a BI Lead to join our Data team. You will define the metrics the company runs on, make sure they are modeled correctly, and set the technical standards our analysts work with. You'll work directly with Sales, Product, and Marketing leaders to align on what we measure and why. As our technical lead for analytics, you own the definitions and standards that drive business decisions across Port. As our BI Lead, you'll own the analytics function end-to-end: defining what we measure and why, setting technical and organizational standards for how we measure it, and empowering teams across the organization to make data-driven decisions. You'll be hands-on technically while also developing processes that scale. Key Responsibilities: • Define, own, and validate business logic behind core KPIs with executives, align definitions with relevant stakeholders, and once approved, model them in the data warehouse to ensure consistent, trusted metrics across all teams. • Work closely with stakeholders across the company (Sales, Product, Marketing, etc.) to understand what needs to be measured, why and how. • Collaborate with Data Engineers and Business Analytics to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling. • Lead the evaluation, selection, and optimization of BI and data infrastructure in collaboration with data engineering. • Build and maintain the cross-company dashboards and reports that business leaders actually rely on to make decisions. Requirements • 5+ years in analytics, BI, or data product management working in B2B SaaS companies, ideally developer tooling or platform. • Strong understanding of business analytics, KPI definition, and metrics design. • Proven experience owning data and analytics products end-to-end, from business problem definition and measurement strategy through strategy, development, and production. • Experience working with a modern data stack: warehouse (Snowflake or similar), dbt or an equivalent transformation layer, a semantic layer, and a BI tool. • Ability to translate business questions into analytical frameworks, metrics definitions, and dashboards. • Strong communication skills and stakeholder management across technical and non-technical teams, with the ability to communicate insights clearly to business leaders.

Senior BI Engineer Location: Givatayim, Israel Experience: 5+ Years Work model: Hybrid We Are At Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide -including Google, eBay, and Adidas - to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people. We Are Looking For We are looking for an experienced talented BI Engineer to join our Data team in Givatayim. You will take end-to-end ownership of our data modeling, serving as the architect of the "Source of Truth" that powers our company's most critical strategic decisions. This is a hands-on engineering role: you will ship production code (SQL, dbt, Python) through a Git-based CI/CD workflow, use AI coding tools to move faster, build and implement AI based solutionsto turn the data into a critical part of decision making. What You’ll Do • Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making. You know how to build a table that is intuitive and easy for other analysts to query. • Translate Strategy into Logic: Work with Product, Marketing, GTM analysts to turn abstract concepts into precise SQL definitions and automated datasets. • Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical. • Enable High-Tech Initiatives: Partner with our AI and Data Service specialists to ensure they have the structured data foundations they need to build models and external data products. • Build Scalable Models: Design, build, and maintain production-grade data models using dbt, ensuring code is modular, tested, and documented. Engineer with CI/CD Discipline: Treat analytics code like software. Work through pull requests, automated tests and deployments (GitHub/GitLab), code reviews, and version-controlled environments, so every change to the Source of Truth is tested before it ships.Build with AI: Use AI coding assistants (Cursor, Claude Code) in your daily workflow to speed up modeling, testing, documentation, and code review, and help the team define how we use them responsibly.Make Data AI-Ready: Build well-documented models with clear definitions and a consistent metrics layer, so analysts, AI agents, and data products can rely on the same trusted data. • Take part in building Agentic solutions to support 24X7 solutions This is a perfect job for someone who has: • Experience of 5+ years of prior experience in a relevant analytics/technical role (Analytics Engineer, BI Engineer, BI Developer or Data Engineer). • SQL Mastery: Expert-level SQL skills. You can write complex queries, optimize performance, and debug legacy code with ease. • dbt Expertise: Proven hands-on experience with dbt. You are comfortable with Jinja templating, incremental models, and package management. • Data Modeling: Experience with ETL processes and strong understanding of data warehousing concepts (Amazon Redshift/ Snowflake) and modeling methodologies . • Product & Business Acumen: You understand SaaS metrics (ARR, funnels, activation, etc.) and how data logic impacts product growth and strategy. CI/CD & Git Workflows: Hands-on experience with Git and CI processes for data projects: pull-request reviews, automated tests on every change, and automated deployments of dbt projects.AI-Assisted Development: Practical, day-to-day experience using AI coding tools (Cursor, Claude Code) to build faster, and the judgment to review and validate AI-generated code before it ships. • Python : Experience with Python for data orchestration or custom transformationsAdvantages: Orchestration: Experience with an orchestration tool (such as Airflow / Dagster / Prefect) for scheduling and monitoring data workflows.Data Quality & Observability: Experience with automated data tests, data contracts, monitoring, and alerting that keep stakeholders’ trust in the numbers.Data for AI: Experience building data foundations for LLMs or AI agents, such as semantic/metrics layers, text-to-SQL, or MCP-based data access.Performance & Cost: Experience tuning queries, models, and warehouse usage to keep the analytical data warehouse fast and cost-efficient. Our Stack: Redshift, dbt, Databricks ,Airflow, GitLab,Cursor - any experience with similar tools is relevant. Why Join Us? • Impact: You are the architect of the data that drives our engines. Your work literally powers the team's ability to innovate. • Growth: You will work on the cutting edge of the data stack, gaining exposure to AI implementation and high-scale data logic. • Collaboration: Our best work comes from face-to-face teamwork in the office, with flexibility to work part-time from home. • Culture: We’re inclusive, innovative, and supportive. We foster open dialogue and encourage big ideas. • Perks: Competitive compensation, strong emphasis on well-being, comprehensive equity packages, and plenty of opportunities for team bonding. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.