technologies-expected :

responsibilities :

Create and maintain analytical workflows and data processes handling time-series and structured data.
Monitor and improve data quality, accuracy, and completeness across multiple sources.
Support data modeling, feature preparation, and result validation for analytical and predictive use cases.
Write efficient Python scripts for data transformation, automation, and integration with external APIs.
Collaborate with product, research, and engineering teams to design relevant KPIs and analysis frameworks.
Contribute to improving the analytics environment with tools like DBT, Metabase, AWS Glue, or Spark.

requirements-expected :

4+ years of experience in data analysis or applied data science.
Strong programming skills in Python (data processing, automation, and analytics).
Good understanding of time-series structures, streaming data, and complex data models.
Experience working with APIs and integrating data from multiple systems.
Familiarity with machine learning workflows and model validation.
Exposure to tools and platforms such as AWS Glue, DBT, Spark, Metabase, DataDog, Great Expectations, Postgres, or TimescaleDB.

offered :

Fully remote work with flexible schedule.
Attractive B2B rate: 19 000 – 30 000 PLN/month.
Private healthcare and Multisport package.
Learning budget and opportunities to grow your technical and analytical skills.
Real impact — your work directly improves performance and decision-making processes.

benefits :

responsibilities :