We are looking for a seasoned BI Team Lead to oversee the development and scaling of our Business Intelligence function, with a strong emphasis on data warehouse architecture, modeling, and administration, alongside broader data engineering responsibilities. This role is perfect for someone who thrives in complex data environments and wants to shape the foundation for data-driven decision-making across the organization.

Responsibilities:

Lead and Scale the BI Team: Build, manage, and mentor a high-performing BI and Data Engineering team. Oversee hiring, onboarding, and career growth of team members.
Own the BI & Data Warehouse Strategy: Define and execute the BI and DWH architecture roadmap, aligned with business and technical needs.
Data Modeling & Governance: Design and implement scalable, high-performance data models and ensure data governance and best practices across the warehouse.
Manage Data Warehouse Infrastructure: Oversee the administration of modern DWH platforms (e.g., ClickHouse, Trino, Druid), optimizing for scalability, performance, and cost-efficiency.
Deliver Robust Data Pipelines: Design and maintain reliable ETL/ELT pipelines using Airflow, Python, JavaScript, Jenkins, and Upsolver to ingest and transform raw data into analytical-ready structures.
Build BI Products: Drive the development of dashboards, reports, and self-service analytics using Tableau, Imply, or equivalent visualization tools.
Collaborate Across Teams: Act as a strategic partner to Data Engineering, Product, and Business teams to gather requirements, prioritize efforts, and deliver BI solutions that drive value.

Were looking for a Data Engineer to join our data warehouse team and play a pivotal role in driving data solutions that empower data science, GTM, finance, analytics and R&D teams.

If youre passionate about exploring and exposing product and business data to stakeholders across and beyond, wed love to hear from you.



What youll do:

Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a shared data warehouse.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Collaborate with cross-functional teams (product, finance, analytics, and R&D) to deliver actionable data solutions tailored to their needs.

We are seeking a skilled BI and Integrations Developer to join our Information Systems team. In this role, you will be responsible for designing, developing, and maintaining scalable Business Intelligence (BI) solutions and integration workflows across our application ecosystem. You will leverage platforms like Power BI, Workato, and Azure and work with data from systems including Salesforce, Microsoft Dynamics 365, and Atlassian tools (Jira, Confluence).
This role is ideal for someone who thrives at the intersection of data, process automation, and cross-platform integration.
Key Responsibilities:
Business Intelligence Development (Power BI & Azure)
Design and develop insightful dashboards and reports using Power BI based on business requirements.
Connect, model, and transform data from various sources (Dynamics 365, Salesforce, Jira, Azure SQL, etc.).
Implement row-level security, data refresh scheduling, and optimization techniques.
Collaborate with business stakeholders to define KPIs and BI use cases.
System Integrations (Workato, Azure Logic Apps, APIs)
Build and maintain robust, low-code/no-code integrations using Workato.
Develop custom connectors, workflows, and recipes to automate business processes between SaaS systems (e.g., Salesforce <-> Dynamics, Jira <-> Confluence).
Monitor integration performance and resolve failures or latency issues proactively.
Support API-based data exchange and process orchestration using Workato
Collaboration & Support
Work closely with Sales and Operations teams to enable data transparency and operational automation.
Provide documentation, training, and technical support for BI and integration solutions.
Maintain data quality and consistency across connected platforms.
Drive initiatives around process improvement and digital transformation.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our company Connect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
Come work with intensely curious people dedicated to innovation, growth, and protecting customers against cybercrime and fraud!
Were seeking a hands-on, passionate BI Team Lead to join our fast-paced, data-driven environment. We'd love to meet you if youre excited about shaping how a company interacts with data and building impactful dashboards that drive decisions.
Description
Lead, grow, and mentor a team of BI engineers and platform specialists, driving a culture of high performance, collaboration, and continuous improvement.
Take full ownership of the data warehouse and BI layer, ensuring the data infrastructure is reliable, scalable, and supports all downstream use cases.
Solving problems and creating ETL pipelines using Python.
Model and maintain the data warehouse, including dimensional models and semantic layers that serve analysts and BI users across the company.
Act as the focal point for all dashboard creation efforts, collaborating with cross-functional teams (product, analytics, management and business stakeholders) to define and implement data visualization solutions.
Administer and manage the infrastructure of our BI tools (such as Looker, Tableau, Power BI, etc.), including user management, permissions, performance optimization, and integrations.

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.

Required BI System Analyst
Tel Aviv District, Israel
The official title for the position is Data Strategy Manager.
We're also advertising it under this title because we know many candidates are more familiar with it as a BI System Analyst role, and we dont want to miss out on great talent like you! :)
As our BI System Analyst / Data Strategy Manager, youre not just crunching numbers, youre crafting the bridge between what data can do and our business needs. Think of it as using BI/Analytics to crack the code on complex puzzles and clocking the wins in real, measurable ways.
You'll take charge of steering projects, tracking their progress, and quantifying their success, all while pushing the envelope on what data can achieve. Ready to blend your technical background with a keen business sense to drive excellence?
Join us on this journey to elevate our game through strategic data innovation.
In this role, you will be responsible for:
Leverage your extensive data domain expertise to generate strategic insights, and play a crucial role in developing and managing the semantic layer, ensuring data integrity, accessibility for analytics, and BI and company alignment around metrics.
Develop metrics and frameworks to assess the impact of data-driven initiatives on business performance, aligning with key goals.
Engage with stakeholders to collect requirements, map the company data sources, and deliver insights that inform strategic decisions and optimize data organization processes.
Champion the adoption of data-driven decision-making throughout the company, fostering innovation and continuous improvement.

We are located in the heart of Tel Aviv, just a short walk from the Hashalom train station. Our open-space offices can accommodate our 100+ employees and when we are not hard at work, you can find us relaxing with a cup of coffee on the balcony or surfing the TLV beaches. Workiz understands that you have a life outside of the office, so we have a flexible work week that allows you to work 3 days from the office and two days from home, but you won't want to miss happy hour!

So, what will you be doing all day?
Lead end-to-end BI initiatives from architecture and modeling to implementation and optimization.
Own and manage our ETL pipelines using Airflow and Python to load data into our data warehouse.
Apply transformation logic with dbt to structure and align data with business and compliance requirements.
Collaborate with cross-functional teams to define data requirements and build scalable business data models that support both internal operations and customer-facing use cases.
Develop dashboards, reports, and alerting mechanisms using tools like Looker and Tableau to support data-driven decisions.
Ensure data quality and accuracy through rigorous testing, monitoring, and governance frameworks.
Work closely with stakeholders in a fast-growing environment to prioritize and deliver impactful insights.

Were looking for a BI Developer 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
Own and maintain our DBT models and data warehouse structure
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

we are looking for a BI Data Engineer
As a BI Data Engineer , you will play a key role in designing, developing, and maintaining scalable data solutions that generate business impact.

Key Responsibilities:

Design and implement robust data models, ETL pipelines, and data flows that support advanced analytics and reporting across the organization.
Develop new data solutions from scratch while maintaining and enhancing existing infrastructure
Partner with the Data Architect to manage and evolve Skais data architecture, ensuring it accurately reflects and supports the evolving business model.
Work closely with business stakeholders to convert complex requirements into actionable data insights that drive informed decisions.
Become a focal point for all data-related matters in the organization.