דרושים » מערכות מידע » BI Developer

We are seeking a highly skilled and detail-oriented Data Analyst/BI Developer to join our Trading BI Analyst team.

In this role, you will play a key part in shaping the analytical foundation that supports our trading operations.

What will you be doing?

Collaborate closely with trading stakeholders, data engineers, and fellow analysts to build, enhance, and maintain business-critical dashboards and reporting pipelines.
Maintain and troubleshoot existing reports and dashboards (e.g., Tableau, Power BI, Looker, or internal tools)
Optimize SQL queries, backend data transformations, and overall system performance to ensure scalability and efficiency.
Collaborate with trading and product teams to gather evolving business needs and translate them into accurate and actionable reporting logic.
Identify and proactively resolve data anomalies and quality issues
Transform complex data into meaningful insights that drive strategic decisions across the organization

We are looking for an experienced BI Data Engineer to join our Data team within the Information Systems group.
In this role, you will be responsible for building and maintaining scalable, high-quality data pipelines, models, and infrastructure that support business operations across the entire company, with a primary focus on GTM domains.
You will take ownership of core data architecture components, ensuring data consistency, reliability, and accessibility across all analytical and operational use cases.
Your work will include designing data models, orchestrating transformations, developing internal data applications, and ensuring that business processes are accurately represented in the data.
This role requires a combination of deep technical expertise and strong understanding of business operations.
You will collaborate closely with analysts, domain experts, and engineering teams to translate complex business processes into robust, scalable data solutions. If you are passionate about data architecture, building end-to-end data systems, and solving complex engineering challenges that directly impact the business wed love to meet you!
Key Responsibilities:
Design, develop, and maintain end-to-end data pipelines, ensuring scalability, reliability, and performance.
Build, optimize, and evolve core data models and semantic layers that serve as the organizations single source of truth.
Implement robust ETL/ELT workflows using Snowflake, dbt, Rivery, and Python.
Develop internal data applications and automation tools to support advanced analytics and operational needs.
Ensure high data quality through monitoring, validation frameworks, and governance best practices.
Improve and standardize data modeling practices, naming conventions, and architectural guidelines.
Continuously evaluate and adopt new technologies, features, and tooling across the data engineering stack.
Collaborate with cross-functional stakeholders to deeply understand business processes and translate them into scalable technical solutions.

we are seeking a talented Senior BI Developer / Data Architect to join our growing Data & Analytics team.
As a Data Architect, you will play a major role in scaling our existing BI Platform, Data Warehouse (DWH), and Data Management operations.
You will be responsible for building unique ETL processes that transform raw data into valuable business insights.
The role is ideal for candidates who are adept at balancing hands-on development work and project management/system design responsibilities.
What You Will Do.:
Design, develop, and scale BI platform and Data Warehouse architecture.
Collaborate regularly with the company's management, R&D team, and analyst teams, while leveraging your creativity to develop innovative BI solutions.
Own the entire life cycle of BI system development, from designing solutions with key business users to full development of the solution, including building API and connectors, data processing (ETL), data modeling, user interface, and support for business analysis.
Design intuitive BI dashboards and reports using Qlik to support business decision-making.
Drive innovation in BI processes by leveraging AWS RedShift, Matillion, and other modern data tools.

We are looking for a BI Developer to join our growing BI team and be part of the companys data modeling efforts, including warehousing, ETL, maintenance, and reporting.

As a BI Developer you will...
Participate in the entire lifecycle of Business Intelligence Solution Delivery.
Work directly with business stakeholders and translate business data needs into technical requirements, design, and implementation.
Develop, test, and maintain ETL processes to high-quality and performance standards.
Maintain and support data analytics platforms.
Develop and maintain visualizations and reports for requested projects.
Craft and execute queries and data modeling upon request for data.
Implement best practices to ensure the quality and consistency of data extraction, modeling, and application building throughout the company.
Create meaningful data visualizations to communicate data insights to the business teams.

Shape the Future of Data - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbersyoull unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategyempowering teams across the company to make smarter, faster, and more impactful decisions.

Key responsibilities:

Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonades data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.

In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams

Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights

Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions

Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

Were looking for a Senior Data Engineer to join our Data team - someone whos passionate about building reliable, scalable data infrastructure and thrives on solving complex technical challenges.
In this role, youll own the design and development of end-to-end data pipelines that power analytics and data-driven decision-making.
Youll collaborate closely with both business and technical stakeholders to ensure data flows smoothly, accurately, and efficiently across the company.
What You Will Do:
Design, implement, and maintain large-scale ETL and ELT pipelines using modern data frameworks and cloud technologies.
Work with Redshift data warehouses to design efficient schemas and optimize performance.
Build and manage data ingestion processes from multiple sources - APIs, SaaS platforms, internal systems, and databases.
Collaborate with stakeholders to deliver clean, well-modeled, and high-quality data.
Build and evolve a modern, efficient, and scalable data warehouse architecture.
Ensure observability, monitoring, and testing across all data processes.
Apply best practices in CI/CD, version control (Git), and data quality validation.

Were looking for an organized and collaborative BI Developer to lead complex analytics initiatives and help shape our companys data foundation. Youll work closely with data engineers and product-aligned analysts to design scalable data models, build enterprise dashboards, and drive consistent, data-driven decision-making across teams.
Key Responsibilities:
Write and optimize complex SQL queries for large-scale datasets in Athena and Redshift.
Design and build Looker dashboards and LookML models from scratch.
Develop and maintain a shared aggregation layer to support analytics and reporting across products.
Automate and schedule data workflows in Airflow for reliable, efficient data delivery.
Collaborate with data engineers on ETL/ELT design, data modeling, and schema optimization.
Lead and mentor product-focused analysts to ensure high analytical standards and consistency.
Communicate insights clearly to technical and non-technical stakeholders.

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.