דרושים » תוכנה » BI Developer

he Business Data Engineering Lead is responsible for transforming raw data into actionable insights that drive business decisions across company functions (executive leadership, Sales, Marketing, Finance, People, etc). This role involves extracting and integrating data from various sources, building ETL pipelines, calculating key metrics, and developing visualizations to support strategic decision-making. The ideal candidate combines technical expertise with business acumen and strong communication skills to bridge the gap between data and business needs.
Responsibilities:
Collaborate with executives and business teams (sales, marketing, finance, HR, operations) to understand data needs and translate them into analytical solutions.
Extract, clean, and integrate data from various sources, including databases, data warehouses, and external systems.
Design, build, and maintain ETL pipelines to ensure efficient data processing and transformation.
Develop and calculate key performance metrics (KPIs) tailored to business objectives.
Create clear and compelling dashboards and visualizations to communicate insights effectively.
Perform data analysis to identify trends, opportunities, and risks that inform strategic decision-making.
Ensure data accuracy, consistency, and integrity across all reporting and analytics efforts.
Continuously improve data models, workflows, and reporting processes to enhance efficiency and scalability.
Stay up to date with industry trends and emerging technologies in data engineering and business intelligence.
Educate and support business stakeholders in using data-driven insights for better decision-making. Provide analytical insights beyond just providing the data.

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are seeking a talented and motivated Senior BI Analyst to build our Tableau environment from the ground up. The ideal candidate will have strong analytical skills, a deep understanding of data visualization principles, and the expertise to transform data into actionable insights. You will play a single and critical role in designing, developing, and implementing Tableau dashboards and reports that facilitate data-driven decision-making within our organization. Responsibilities:
* Environment Setup: Establish and configure the Tableau environment, including server setup, user access, and security protocols.
* Data Integration: Collaborate with data engineering and IT teams to gather, clean, and integrate data from multiple sources (Salesforce, MongoDB, APIs) into Tableau.
* Dashboard Development: Design, create, and maintain interactive and user-friendly
* Tableau dashboards and reports that meet the needs of various stakeholders across the organization.
* Data Modeling: Develop and document data models and schemas to ensure efficient data retrieval and analysis.
* Business Requirements Gathering: Work closely with business users to understand their reporting needs and translate them into technical specifications.
* Performance Optimization: Monitor and optimize the performance of Tableau reports and dashboards, ensuring they meet performance standards and are scalable.
* Training and Support: Provide training and support to end-users, guiding them on how to utilize Tableau for self-service analytics.
* Documentation: Maintain comprehensive documentation of the Tableau environment, data sources, dashboards, and user training materials.
* Continuous Improvement: Stay updated on the latest Tableau features and best practices, and continuously seek opportunities to enhance and optimize the reporting capabilities.

We are looking for an experienced BI Developer to join our team.
In this role, you will collaborate closely with various stakeholders to design and implement data solutions that support our business strategies.
You will have the opportunity to take ownership of building the data infrastructure for our business processes, leveraging your technical expertise within a motivated, supportive organization with experienced business stakeholders.
You will work with tools at the forefront of technology to create end-to-end data solutions that directly influence key business decisions.
This role also provides the flexibility to explore different areas of the business, allowing you to broaden your skills and make an impact in a collaborative environment.
We prioritize continuous growth.
As part of this role, youll work on meaningful projects with tangible results, using cutting-edge tools to drive decision-making across the organization.
This is a unique opportunity to deepen your technical expertise while contributing to a dynamic and evolving business.
If youre passionate about building reliable data solutions and excited to gain exposure to diverse business challenges, wed love to hear from you!
Key Responsibilities
Develop and manage data infrastructure and visualization using Snowflake, Tableau, dbt and Rivery.
Collaborate with stakeholders to gather requirements and translate them into functional and technical solutions.
Design and implement data models, ETL pipelines, and other BI solutions to meet business needs.
Create dashboards and reports in Tableau to provide insights for decision-making across the organization.
Stay informed about new features and updates in Tableau, Snowflake, and Rivery, and apply them when relevant.

We are looking for an experienced, data-driven, and highly motivated BI Developer to join our data team. The ideal candidate is an independent, analytical thinker with strong data modeling and engineering skills. In this role, you will help transform billions of daily events into valuable insights, impactful dashboards, and critical business intelligence that drive strategic decision-making.

What you'll be doing:
Design, develop, and maintain analytics products and BI solutions.
Work with various relational and non-relational databases, including Snowflake, Redshift, MySQL, and more.
Develop and optimize ETL processes using Airflow.
Create data visualizations and dashboards using Tableau, Redash, and Imply.
Ensure the integrity and accuracy of reported data.

We are looking for a Data Scientist- Autonomous.
The Research and Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).
As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Senior Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

Were looking for a sharp BI Developer to join our Data group.
As a BI Developer, you will be responsible for providing analytical support across the organization to enable data-driven decision making and promote strategic planning.
You will plan and design data models, work with large-scale datasets, create and maintain data flow within different applications and systems using advanced integration tools and be a focal point when it comes to our access to data.
Responsibilities:
Create data infra, ETL processes, dashboards and reports to support ongoing analysis and monitoring of production performance.
Work with various stakeholders including high management stakeholders in the organization to understand business needs, document and prioritize requirements, and help them effectively use data and analytical tools.
Translate business requirements into technical specifications
Work closely with the data analytics and data engineer teams to create or enhance complex models development
Maintain existing visualization and reporting solutions, and make adjustments and extensions according to requirements
Proactively identify gaps in data collection and define processes to complete
Be involved in the entire data development process, including business knowledge, methodology, quality assurance, and maintenance.

Were seeking an experienced and professional BI Data Engineering Manager to join our growing team in Tel Aviv. In this position, you will lead a team of talented BI professionals and data engineers, overseeing the definition, development, and management of our BI datasets. You will architect, implement, and oversee data models, ELTs, and ETLs, enabling our business teams, product, engineering, and senior management to access data effectively.
What Youll Do:
Lead and mentor a team of BI professionals and data engineers, fostering a collaborative and innovative environment.
Oversee end-to-end BI development and ownership, from design to production.
Develop and manage BI data pipelines to empower data access and self-service.
Collaborate with business stakeholders, engineering teams, and data consumers to understand data needs and translate business requirements into the technical design of scalable data pipelines.
Provide directions on best practices for our architecture, including dimensional modeling and large-scale ETL/ELT.
Advise engineering teams in designing the correct database schema.
Research core technologies and integrations with external APIs and services.

A global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. has offices in New York and Tel Aviv. For more information.
About the Role
The successful BI developer will play a crucial role in designing, developing, and maintaining our business intelligence systems and solutions. As a BI developer, you will design, develop and implement business requirements into actionable insights that will serve multiple organizational stakeholders. This position offers an opportunity to build insightful data solutions in a rich data environment over modern big data technologies.
Responsibilities
Transform business requirements into BI solutions by collaborating with data scientists, business analysts, senior managers, and other organizational stakeholders.
Build end-to-end data flows and data enrichment processes.
Create dashboards based on best practices and support users across the organization
Become a focal point for all data-related matters in the organization.
Monitor and tune BI systems for optimal performance and scalability.
Support and train end-users to maximize the effectiveness of BI solutions.

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.



In this role, you will collaborate regularly with the company's management, R&D team, and analyst teams, while leveraging your creativity to develop innovative BI solutions. The position requires a deep understanding of business processes, as well as a background in data analysis and business analysis. Proficiency in the AWS environment, specifically with RedShift, is essential, as well as proficiency in Qlik.



The work encompasses 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.



The job is divided equally between hands-on development work and project management/system design responsibilities.