Data Analyst (Hybrid)

About the role

We are seeking a skilled Data Analyst to join our team on a hybrid schedule, working two days onsite and three days from home. The role focuses on building and maintaining robust data warehousing and ETL solutions to support ERP and accounting datasets.

Key responsibilities

• Design, develop, and maintain data warehousing solutions and ETL pipelines.
• Implement data integration using Oracle ODI, Alteryx, and PySpark.
• Manage Oracle databases, write PL/SQL code, and optimize SQL queries.
• Integrate external data sources via REST APIs and Amazon S3 protocols.
• Utilize MS Azure SQL Database for cloud‑based data storage and processing.
• Support ERP‑related projects and handle accounting data sets.

Required profile

• 3‑5 years of relevant IT industry experience.
• Strong understanding of fact/dimension models and incremental/full data loading processes.

Required skills

• Data warehousing and ETL/Data Engineering.
• Oracle Database and PL/SQL.
• Oracle ODI, Alteryx, PySpark.
• MS Azure SQL Database.
• REST APIs and S3 protocols.
• SQL and RDBMS technologies.
• Experience with ERP‑related projects and accounting datasets.