Description

Act as the bridge between business stakeholders and data engineering teams to deliver data-driven solutions.

This role is hybrid.

Responsibilities

• Translate business requirements into technical specifications for data pipelines, models, and reporting solutions.
• Design and maintain logical data models to support data warehouse architecture.
• Write and optimize SQL queries to extract, manipulate, and analyze large datasets.
• Collaborate with data engineers to ensure ETL processes and database schemas align with business needs.
• Create and maintain documentation for business requirements, data models, and technical workflows.

Required Skills

• 5+ years of experience in technical business analysis or data-centric roles.
• Proficiency in writing SQL queries for data extraction and analysis.
• Strong knowledge of data warehouse concepts, including architecture, integration, and governance.
• Experience with relational database design and logical data modeling.
• Hands-on experience with ETL processes and tools like SSIS.
• Experience with Azure SQL Server.
• Experience with Azure Data Factory (ADF).
• Ability to use data visualization tools such as Power BI or Tableau.

Preferred Skills

• Prior experience in the financial industry with knowledge of financial data structures.
• Experience with Azure Databricks.

Key Skills

Education

Any Gradute