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

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 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 Senior BI Developer / Data Architect to join our growing Data & Analytics team.
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.
The role is ideal for candidates who are adept at balancing hands-on development work and project management/system design responsibilities.
What You Will Do.:
Design, develop, and scale BI platform and Data Warehouse architecture.
Collaborate regularly with the company's management, R&D team, and analyst teams, while leveraging your creativity to develop innovative BI solutions.
Own 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.
Design intuitive BI dashboards and reports using Qlik to support business decision-making.
Drive innovation in BI processes by leveraging AWS RedShift, Matillion, and other modern data tools.

We are seeking a highly skilled and detail-oriented Data Analyst/BI Developer to join our Trading BI Analyst team.

In this role, you will play a key part in shaping the analytical foundation that supports our trading operations.

What will you be doing?

Collaborate closely with trading stakeholders, data engineers, and fellow analysts to build, enhance, and maintain business-critical dashboards and reporting pipelines.
Maintain and troubleshoot existing reports and dashboards (e.g., Tableau, Power BI, Looker, or internal tools)
Optimize SQL queries, backend data transformations, and overall system performance to ensure scalability and efficiency.
Collaborate with trading and product teams to gather evolving business needs and translate them into accurate and actionable reporting logic.
Identify and proactively resolve data anomalies and quality issues
Transform complex data into meaningful insights that drive strategic decisions across the organization

Were looking for a hands-on Senior BI Engineer with a can-do attitude to shape data strategy and transform complex datasets into actionable insights that drive key business and product decisions. Youll collaborate closely with data engineers, product teams, and business stakeholders to modernize our analytics stack and deliver trusted, impactful insights across the company.
Your Impact
Own and evolve BI stack, data models, and reporting infrastructure to enable data-driven decision-making.
Define and govern core business metrics to ensure consistency and reliability across all teams.
Lead analyses across product, marketing, and revenue functions to identify growth opportunities and optimize performance.
Build intuitive dashboards and champion analytics best practices for technical and non-technical stakeholders.
Improve data quality, lineage, and governance as the company scales.

Were looking for an organized and collaborative BI Developer to lead complex analytics initiatives and help shape our companys data foundation. Youll work closely with data engineers and product-aligned analysts to design scalable data models, build enterprise dashboards, and drive consistent, data-driven decision-making across teams.
Key Responsibilities:
Write and optimize complex SQL queries for large-scale datasets in Athena and Redshift.
Design and build Looker dashboards and LookML models from scratch.
Develop and maintain a shared aggregation layer to support analytics and reporting across products.
Automate and schedule data workflows in Airflow for reliable, efficient data delivery.
Collaborate with data engineers on ETL/ELT design, data modeling, and schema optimization.
Lead and mentor product-focused analysts to ensure high analytical standards and consistency.
Communicate insights clearly to technical and non-technical stakeholders.

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.

We are looking for a BI Developer to join our BI Analytics team.
In this role, you will work closely with data Product managers, data analysts and data Scientists to create BI pipelines and BI data models to facilitate advanced analytics across multiple company verticals.

What you will be doing?
- Design, develop and manage scalable BI solutions, from characterization to visualization, including complex ETL, to improve business analytics capabilities
- Work closely with data Engineers to create efficient data processes and architecture
- Ensure data accuracy, consistency, and integrity across all processes and all tables

Were looking for an experienced Data Engineer to join our DataWarehouse team in TLV.

In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, youll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.

This is an excellent opportunity to be part of establishing state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.

In this role youll
Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements

Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs

Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer

Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness

Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency

Implement best practices for data warehouse and database performance tuning

Conduct thorough testing of data applications and implement robust validation processes

Collaborate with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers