לוח משרות דרושים Business Intelligence בתל אביב יפו

We are seeking a Senior Business Intelligence Specialist to partner up with our team of Business Intelligence and QA Specialists and collaborate effectively to ensure the accuracy, quality, and performance of our partnership intelligence dashboards. This role will be instrumental in ensuring our data solutions drive key business decisions for our clients, providing oversight and guidance to ensure the teams effectiveness in monitoring affiliate performance data.
As a key member in our team, you will manage and lead quality assurance processes, provide actionable insights, and help streamline data monitoring and alert systems. If you have a passion for improving processes, and driving data accuracy in consumer intelligence, we want to hear from you!
Responsibilities:
In-Depth Data QA and Oversight: Continuously evaluate and improve data monitoring and QA processes to enhance team efficiency and data quality. Implement best practices and create standard operating procedures for data verification, analysis, and alert management.
Quality Assurance Supervision: Oversee the regular QA checks conducted on partnership intelligence dashboards to ensure data integrity and consistency. Take a proactive role in resolving discrepancies and ensure the timely delivery of accurate reports.
Data Analysis & Reporting: Lead the analysis of trends and patterns in affiliate performance data to uncover areas for improvement. Prepare and present findings to internal teams in an easily understandable format.
Alert Management Oversight: Supervise the alert management system to ensure relevant alerts are delivered accurately to clients in a timely manner. Work with the team to assess the impact of alerts and determine corrective actions based on client preferences.
Cross-Functional Collaboration: Work closely with internal teams to foster communication and collaboration, ensuring alignment between the QA team and other departments such as R&D.

What Youll Be Doing:
Help improve our analytics practices by gathering better data, making it more trustworthy and accessible, and nurturing a top-grade data culture across the company.
Design, develop, scale, and optimize the data pipelines, ETLs and various data models.
Use SQL, DBT, Python and any other relevant tools and technologies.
Identify blind spots in how we use data and lead initiatives to illuminate them.
Collaborate with various stakeholders across the company to translate requirements into high-quality data pipelines and models.
We are currently rebuilding and redesigning much of our tech-stack and processes. Play a major role in designing the future data-work within the company.

We are looking for an experienced BI / Data Engineer to develop systems that make vast amount of data more accessible and efficient throughout the organization. This is a perfect opportunity if youre passionate about data and have strong analytical and technical skills.

You will be developing innovative and creative ways to deliver data and information at scale in a fast-growing, exciting industry while working closely with our data analysts, product managers, software engineering teams, and management.

Responsibilities:

Design, manage, and optimize scalable data models and BI infrastructures for internal and external stakeholders
Work with diverse relational and non-relational databases (Presto, Athena, Firebolt, MySQL, etc.)
Build and maintain reliable ETL/ELT pipelines using Airflow, Python, and Upsolver
Design and develop data visualizations and dashboards (Tableau)
Identify and implement technological solutions for large-scale analytics
Serve as the central data authority, providing guidance, documentation, and support across the company

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.

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.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, your mission is to build the scalable, reliable data foundation that empowers Yotpo to make data-driven decisions. You will serve as a bridge between complex business needs and technical implementation, translating raw data into high-value assets.
You will own the entire data lifecyclefrom ingestion to insightensuring that our analytics infrastructure scales as fast as our business.
Key Responsibilities:
Strategic Data Modeling: Translate complex business requirements into efficient, scalable data models and schemas. You will design the logic that turns raw events into actionable business intelligence.
Pipeline Architecture: Design, implement, and maintain resilient data pipelines that serve multiple business domains. You will ensure data flows reliably, securely, and with low latency across our ecosystem.
End-to-End Ownership: Own the data development lifecycle completelyfrom architectural design and testing to deployment, maintenance, and observability.
Cross-Functional Partnership: Partner closely with Data Analysts, Data Scientists, and Software Engineers to deliver end-to-end data solutions.

We're looking for an experienced BI Developer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.

Responsibilities
Pull data from various data sources and integrate into the ETL process
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments
Optimize workloads to reduce cost and improve performance
Translate business requirements to technical specifications

As a BI (Business Intelligence) Developer, you will:
Develop and maintain BI dashboards, reports, and data visualizations.
Build and optimize ETL processes to ensure timely and accurate data delivery to BI applications.
Engage with business users to understand their reporting needs and requirements.
Front and Back BI Capabilities (Data Modeling + Visualisations).

We are looking for an experienced BI Data Engineer to join our Data team within the Information Systems group.
In this role, you will be responsible for building and maintaining scalable, high-quality data pipelines, models, and infrastructure that support business operations across the entire company, with a primary focus on GTM domains.
You will take ownership of core data architecture components, ensuring data consistency, reliability, and accessibility across all analytical and operational use cases.
Your work will include designing data models, orchestrating transformations, developing internal data applications, and ensuring that business processes are accurately represented in the data.
This role requires a combination of deep technical expertise and strong understanding of business operations.
You will collaborate closely with analysts, domain experts, and engineering teams to translate complex business processes into robust, scalable data solutions. If you are passionate about data architecture, building end-to-end data systems, and solving complex engineering challenges that directly impact the business wed love to meet you!
Key Responsibilities:
Design, develop, and maintain end-to-end data pipelines, ensuring scalability, reliability, and performance.
Build, optimize, and evolve core data models and semantic layers that serve as the organizations single source of truth.
Implement robust ETL/ELT workflows using Snowflake, dbt, Rivery, and Python.
Develop internal data applications and automation tools to support advanced analytics and operational needs.
Ensure high data quality through monitoring, validation frameworks, and governance best practices.
Improve and standardize data modeling practices, naming conventions, and architectural guidelines.
Continuously evaluate and adopt new technologies, features, and tooling across the data engineering stack.
Collaborate with cross-functional stakeholders to deeply understand business processes and translate them into scalable technical solutions.