דרושים » מערכות מידע » Senior BI Developer / Data Architect

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 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.

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're hiring an experienced Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground u.
The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
In this role, you will be responsible for:
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Establish scalable, efficient, automated processes for large-scale data analyses.
Support the development of performance dashboards & data sets that will generate the right insight.
Work with business owners and partners to build data sets that answer their specific business questions.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Own the data lake pipelines, maintenance, improvements and schema.

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.

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.

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.

Our Data Platform Team Lead will drive innovation and build scalable data infrastructure that influences the heart health of thousands of users. In this role, you will manage a team of 4 senior data engineers & BI developers responsible for the end-to-end development of data product. You will work in close collaboration with other cross-functional teams, including analysts, data scientists, and engineers, to deliver high-quality solutions that drive data insights and business intelligence at scale. As team lead, you will guide and mentor your team ensuring they grow their skills and deliver impactful solutions. Your leadership will be critical in driving team productivity, technical excellence, and fostering an innovative culure.
Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS (Glue, EMR, S3, Athena and more), Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.
Responsibilities:
Leadership & Team Management: Lead, mentor, and manage a team of 5 senior data engineers. Foster a culture of collaboration, continuous improvement, and technical excellence.
Data Pipeline Development: Oversee the development and optimization of data pipelines and architectures to support our data flows. Ensure data processing is efficient, scalable, and aligned with business goals.
System Integration: Collaborate with cross-functional teams to integrate and optimize systems that retrieve and analyze data to influence user outcomes.
End-to-End Ownership: Take responsibility for the end-to-end development, deployment, and maintenance of our data systems, ensuring they meet business needs and industry standards.
Innovation & Continuous Learning: Stay up-to-date with emerging technologies and best practices. Identify opportunities to innovate and improve data systems and processes.
Collaboration with Stakeholders: Work closely with researchers, architects, and engineers to ensure that data systems align with research objectives and technical requirements.

We are looking for a Data Visualization Engineer with strong computing skills and data visualization background a highly-motivated professional who will make our business transparent and trackable by empowering operations and product management with an easy-to-use dashboard system.
We believe that data is one of our key assets, which could and should be applied in every part of our business.
To this end, Data Visualization team aims to create and developing a coherent BI reporting system that solves most of the potential questions on the business current state w/o even asking.
This role contributes to the Global Data team. Along with the dashboards development you will be an admin and architect of the self-service BI platform supporting more than 300 users across the territories of our operation: Israel and the UK.
You should be passionate about digging into data and telling the story with it. You should know how to select best-fit visualizations showing insights to the business stakeholders and helping them in their day-to-day decision-making process.
Areas of responsibility:
Dashboards development
Collection and analysis of business requirements;
Development of dashboard backend - creation of data sources by combining data from the DWH
Visualization of the data using the corporate template and best vis practices;
Quality checks - functionality tests, data accuracy checks;
Presentation/adoption of the result to the stakeholders and collecting the feedback.
Tableau Server administration
Systems performance analysis and tuning using TSM and RMT or alternatives;
Users, content, permissions management;
Technical dashboards creation based on Tableau repository data;
Processes automatization.
Users support & Bugs resolution
Resolution of user requests and bugs through Helpdesk and other channels;
Quality checks of existing dashboards and data in the DWH.
Development of data-driven culture
Development of users' communities;
Active participation in infra optimization projects;
New processes & approaches development.

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