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
Requirements:
At least 3 years of Python practical experience.
Full proficiency in SQL with at least 5 years of experience in manipulating large, complex, and semi-structured data sets
Deep understanding of BI methodologies and data architecture principles
Experience with ETL frameworks (dbt – advantage)
Strong ability to interpret data, and understand business processes and challenges from a business units perspective
Solid data visualization and storytelling skills
Experience with columnar, distributed, and decoupled data warehouses (e.g Redshift, Snowflake, Bigquery, Vertica)
BSc in Computer Science, Mathematics, Industrial Engineering, or equivalent academic knowledge.
Excellent personal communication and relationship-building skills.
Advantage – Experience in using statistical Python libraries such as numpy, pandas and Scikit-learn.
At least 3 years of Python practical experience.
Full proficiency in SQL with at least 5 years of experience in manipulating large, complex, and semi-structured data sets
Deep understanding of BI methodologies and data architecture principles
Experience with ETL frameworks (dbt – advantage)
Strong ability to interpret data, and understand business processes and challenges from a business units perspective
Solid data visualization and storytelling skills
Experience with columnar, distributed, and decoupled data warehouses (e.g Redshift, Snowflake, Bigquery, Vertica)
BSc in Computer Science, Mathematics, Industrial Engineering, or equivalent academic knowledge.
Excellent personal communication and relationship-building skills.
Advantage – Experience in using statistical Python libraries such as numpy, pandas and Scikit-learn.
This position is open to all candidates.
