דרושים » דאטה » מתרגל /ת לליווי והדרכה בתחום ה- BI משרה חלקית בשעות גמישות

We are looking for a professional and enthusiastic BI Developer to join our team! The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions. You will help create and manage data processes for actionable insights and operational needs.

If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.

Key Responsibilities
As a BI Developer, you will be responsible for:

Design, build, and maintain end-to-end easy-to-use data solutions. This includes orchestration, data modeling, dashboards, monitoring, alerting, experimentation models, etc.
Collaborate effectively with cross-department stakeholders to capture analytical requirements
Analyze complex datasets, and provide useful actionable recommendations

We are looking for a BI Expert to join our Data Engineering team.

Who has a passion for Data Engineering, who has a desire to solve complex technological challenges with a proactive approach to a constant improvement

We use an interesting and mixed technology stack: Snowflake, AWS Cloud Technologies- (e.g. S3 Airflow), Power BI

In this position you will use your expertise in development large-scale data driven systems focusing on data analysis, development, and performance improvement.

Key Responsibilities
Work closely with business stakeholders to understand their data needs and provide solutions.
Gather data from various sources, including databases, APIs, and external data providers.
Design and implementing Extract, Transform, Load (ETL) processes to integrate data from multiple sources into a centralized data warehouse.
Create and maintain efficient database schemas and structures to store business data.
Develop data models to represent business processes and support decision-making.
Implement policies and procedures to ensure data is managed securely and complies with relevant regulations.
Improve the performance of data queries to ensure efficient data retrieval, manage & monitor to resolve performance issues.
Stay up-to-date with the latest data technologies and tools to continuously improve data infrastructure.
Identify opportunities to streamline data processes and enhance efficiency.