Middle Data Analyst

We're looking for Middle Data Analyst to analyse and troubleshoot data across complex financial data pipelines to ensure consistency and accuracy between multiple sources

Codzienne zadania

• Analyse and troubleshoot data across complex financial data pipelines to ensure consistency and accuracy between multiple sources
• Work with modern data stack tools such as dbt (data modeling) and Airflow (orchestration) to build, maintain, and enhance data pipelines
• Investigate and resolve data quality issues (e.g., missing or inconsistent data across systems and reports)
• Contribute to data model design and enhancements within existing pipelines, including backfilling historical data
• Collaborate closely with data engineers and other analysts on shared ownership of data pipelines and applications
• Work with APIs and data ingestion processes, including testing and validating data flows (e.g., using Postman)
• Operate within Git-based workflows (GitLab), including version control and CI/CD processes
• Support reporting and analytics use cases by preparing datasets and, where needed, building dashboards
• Participate in Agile ceremonies and iterative delivery of data solutions

Must have

• SQL
• GCP
• Airflow
• Terraform
• Python
• BI
• Tableau
• Power BI
• Looker