דרושים » תוכנה » BI Manager

We're looking for a hands-on Senior BI Analyst to drive the full business intelligence stack- from data ingestion and modeling to dashboarding and stakeholder insights. If youve led BI projects end-to-end, enjoy building scalable systems, and want to have a strategic impact, this role is for you.

This is not your typical analyst role- were looking for someone who can independently set up and scale our BI foundations while partnering closely with business, product, and engineering teams.
Youll be a one-person BI powerhouse.
About the role:
Lead the design and execution of cross-company BI initiative from concept to implementation.
Partner with GTM, product, and operations teams to define KPIs, track performance, and uncover growth opportunities.
Implement and scale BI platforms (e.g., Power BI, Tableau) and define best practices for dashboards and reporting.
Own the full data flow: from source systems to dashboards - helping ensure data quality, consistency, and accessibility.
Write optimized SQL for complex analyses, recurring reports, and data validations.
Build and maintain clean, scalable data pipelines and models in collaboration with data engineering.

We are looking for a Product & BI Analyst.
Are you passionate about turning data into real-world impact? At Sensi, 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 BI Engineer to join our Data team and spread ourpower.
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.

We are seeking a talented BI Developer to join our team. The ideal candidate will have a strong background in business intelligence, data analysis, and database management, with a passion for gaming. The BI Developer will play a key role in designing, developing, and maintaining our data infrastructure, as well as providing insights and analytics to support data-driven decision-making across the organization.
Responsibilities
Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and maintain dashboards, reports, and visualizations to provide insights into key business metrics and performance indicators.
Perform data analysis to identify trends, patterns, and opportunities for optimization and improvement.
Optimize and tune SQL queries and database performance to ensure efficient and reliable access to data.
Collaborate with data engineers and other stakeholders to continuously improve data quality, accuracy, and reliability.
Stay up-to-date with industry trends and best practices in business intelligence, data analytics, and gaming technology.

Required Senior BI Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior BI Data Engineer on our Business Analytics & Business Intelligence Group in Tel Aviv Office, youll play a vital role on all aspects of the data, from ETL processes to optimizing our Business data models and infrastructure.
How youll make an impact:
As a Senior BI Data Engineer, youll bring value by:
Have end to end ownership: Design, develop, deploy, measure and maintain our Business data infrastructure, ensuring high availability, high scalability and efficient resource utilization.
Lead the BI Engineering domain, including mentoring BI Engineers, establishing best practices, and driving BI engineering strategy.
Automate data workflows to streamline processes, reducing manual efforts and improving accuracy of our BI infrastructure..
Collaborate with other departments (e.g., IT/Data, R&D, Product, IS) to ensure seamless integration of BI tools with other systems and data models.
Work closely with the BI Development team to develop, maintain, and automate operational and executive-level reports and dashboards that offer actionable insights.
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our data pipelines.
Excellent communication and collaboration skills to work across teams.

Were seeking a hands-on Data Specialist to join our growing data group, working on the practical backbone of high-scale, financial-grade systems. Youll work closely with engineers, BI, product, and business stakeholders, expert in design, build, and optimize data pipelines and integrations in a cloud-native environment.
If you thrive on solving complex data challenges, enjoy getting deep into code, and want to make an impact on fintech infrastructure, wed love to meet you.
Your Day-to-Day
Develop, maintain, and optimize robust data pipelines and integrations across multiple systems
Build and refine data models to support analytics and operational needs
Work hands-on with data orchestration, transformation, and cloud infrastructure (AWS/Azure)
Collaborate with engineering, BI, and business teams to translate requirements into scalable data solutions
Contribute to data governance, data quality, and monitoring initiatives
Support implementation of best practices in data management and observability.

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The perfect candidate will have demonstrated experience in data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, demonstrated experience in operational skills to drive efficiency and speed, project management leadership, and a comprehensive vision for how data can proactively improve companies.
Data Engineering Manager, Analytics Responsibilities
Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
Define the processes needed to achieve operational efficency in all areas, including project management and system reliability.
Build a high-quality BI and Data Warehousing team and design the team to scale.
Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Manage data warehouse plans across a product vertical.
Drive the design, building, and launching of new data models and data pipelines in production.
Drive data quality across the product vertical and related business areas.
Manage the delivery of high impact dashboards and data visualizations.
Define and manage SLAs for all data sets and processes running in production.

Required Director R&D, Shopper Intelligence
About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of our most strategic offerings.
You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.
What Youll Do:
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.
Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.
Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.
Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.
Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.
Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.
Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.
Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.
Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).
Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.
Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.
Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.
Team Management & Culture
Build, coach, and scale teams of highly capable tech leads, senior engineers, and data scientists.
Establish a strong engineering culture focused on innovation, quality, ownership, and continuous learning.
Partner across functions to ensure alignment between technical capabilities and product/market strategy.

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 a BI Analyst to join our community!

As a BI Analyst, you will play a key role in transforming data into actionable insights that support strategic and operational decision-making across the company. Youll work closely with stakeholders from various departments to understand business needs, translate them into analytical requirements, and deliver clear, meaningful reports and dashboards. Your work will help drive performance, uncover opportunities, and ensure teams are aligned around trusted data.

Responsibilities:
Build and own the first inhouse Sales Analytics platform, aiming to generate the Source of Truth for our business decision making.
Design, create and maintain business dashboards, reports and visualizations
Work with stakeholders to gather requirements from teams across the organization to consolidate definitions and derive metrics.
Create and maintain documentation for all of the above.
Communicate data to stakeholders with the goal of allowing data driven decision making.