Position: BI Engineer (dashboards)
Company: Odysseus Data Services UA
Experience required: 3y
Category: Other
English level: fluent
Published: 2023-02-01T00:00:00+02:00

...Odysseus Data Services (https://odysseusinc.com/) - is a fast-growing US-based company focused on the creation of a single platform that will combine medical history data from clinics all over the world. Our goal is to provide a vast information base to be used by scientific researchers, medical centers and institutes, as well as the pharmaceutical industry and insurance companies.

...Today Odysseus Data Services is an active member of the Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") consortium (https://www.ohdsi.org/), whose main mission is to improve healthcare systems around the world by collecting and organizing data on the treatment of various diseases and then combining this data into a single, standardized, universally-accessible knowledge base to bring out the value of health data through large-scale analytics.

...Due to our rapid growth, we now have a vacancy for a BI Engineer in Europe (Czech Republic, Germany, and Lithuania).

**Responsibilities**
● You will handle all tasks related to BI and data engineering independently, including all stages of the process of setting up a BI infrastructure
● Document dashboard requirements and design, create logical models and database structure based on requirements
● Create reports and dashboards using modern BI solutions such as Spotfire, Qlik, or Tableau
● Write SQL queries and automated scripts to perform complex data analysis
● Build ETL pipelines that integrate data from several  sources

**Required Skills**
● 3+ years of experience in BI and data modeling
● Experience with commonly used BI tools such as Spotfire, Qlik, or Tableau
● Excellent knowledge of SQL, relational databases such as MySQL or Postgres, as well as data warehouse technologies such as GCP BigQuery  or AWS Redshift
● Knowledge and Coding experience with Python or R
● Understanding of Enterprise Data Warehouse Architecture and Snowflake model
● Fluency in English (written and spoken) and great communication skills