דרושים » מערכות מידע » BI Developer

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.

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.

We are looking for a BI Developer - Governance. in this role, youll play a vital part in ensuring the integrity, reliability, and usability of our data. You will collaborate with cross-functional teams to establish robust data governance frameworks, improve data quality, and deliver insights using SQL and Tableau. You will develop dashboards to monitor governance processes, track compliance with data policies, ensure data quality standards are met, and provide transparency to stakeholders.
As a BI Developer - Governance you will
Craft data governance framework: Define and enforce policies, standards, and best practices for data management and governance.
Lead data quality initiatives: Develop and implement processes to monitor, manage, and improve data quality and data curation across the organization.
A solid understanding of data privacy and data security principles: including compliance with relevant regulations (e.g., GDPR) and best practices for protecting sensitive information.
Establish and track key data metrics: Define, measure, and report on data quality and governance KPIs.
Develop insightful Tableau dashboards: Create and maintain interactive dashboards that provide actionable insights for various teams.
Support data literacy: Educate stakeholders on data governance principles and promote a culture of data-driven decision-making.
Collaborate on data projects: Work closely with data engineers, BI developers and analysts to design and implement data pipelines, semantic layers, and scalable solutions.
Collaborate with stakeholders: Partner with business units to identify data issues, gather requirements, and deliver solutions that align with business goals.
Utilize SQL for analysis and reporting: Write and optimize complex SQL queries to extract, transform, and analyze data from multiple sources.

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.

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.

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.

What will you do?

Design, develop, implement and support robust and scalable end-to-end BI solutions to improve business analysis capabilities.

Own the data pipeline! Understand the data behavior including business knowledge, methodology and architecture.

Serve as a key player in the Data team, working closely with cross- organizational teams (Marketing, R&D, Finance and more) to understand
business objectives and provide analytical support for strategic initiatives.

Proactively identify opportunities for process optimization.

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.

Were looking for an experienced BI Engineer to join our Data team and spread the power.
The team develops and maintains infrastructure for internal data analytics. We run a SaaS-based stack using Snowflake, dbt Cloud and Tableau.
WHAT YOULL DO
Design, develop, and maintain BI assetsdata models, catalogs, dashboards, and self-service solutions.
Support and develop data analytics solutions from end to end. From gathering business needs, developing data pipelines and models, to enabling their consumption through self-service tools.
Support ad-hoc needs and requests of internal stakeholders.
Collaborate with analysts, data engineers, and internal customers from Product, Finance, Revenue, and Marketing.

Are you a talented and experienced Data Engineer Team Lead? If so, we want you to be part of our dynamic Business Intelligence Team, a part of the R&D, contributing to our vision and making a difference in the eCommerce landscape. Join us on this journey as we seek the best and brightest minds to drive our mission forward.
In this role, you can expect:
Lead and oversee a team of Data Engineers to deliver high-quality data solutions
Mentor team members, fostering skill development and professional growth
Developing, implementing and supporting robust, scalable solutions to improve business analysis capabilities
Managing data pipelines from multiple sources, including designing, implementing, and maintaining
Translating business priorities into data models by working with business analysts and product analysts
Collaborate across the business with various stakeholders, such as data developers, systems analysts, data scientists and software engineers
Owning the entire data development process, including business knowledge, methodology, quality assurance, and maintenance