Business Intelligence Analyst- Data Engineering Specialist

Tigunia is seeking a technically focused Business Intelligence Analyst with a specialization in data engineering and warehouse modeling. This role involves building scalable data infrastructure, developing reliable models for reporting and analytics, and collaborating with clients to ensure solutions meet their business needs.

Responsibilities:

• Design and implement scalable, integrated data warehouse models incorporating data from Business Central and other sources
• Develop and maintain data pipelines using Python, SQL, and modern ETL tools
• Lead smaller client engagements, including requirements gathering and solution delivery
• Collaborate with reporting specialists to ensure data models support business KPIs and visualization needs
• Define and document transformation logic, data mappings, and warehouse specifications, adhere to modeling standards and governance practices
• Support report development in Power BIand Jet Reports as needed
• Troubleshoot data quality issues and optimize performance of data models
• Use GitHub for version control, collaboration, and documentation of data engineering workflows

Requirements:

• 4+ years of experience in data engineering, BI development or related roles
• Experience with ERP data structures and warehouse modeling
• Proficiency in Python and SQL for data transformation and analysis
• Strong experience with Mage.AI, dbt, Microsoft SQL Server, Snowflake, or Microsoft Fabric
• Experience using GitHub for version control, collaboration, and workflow management
• Strong understanding of dimensional modeling and the Kimball methodology
• Experience with documentation, versioning, and data governance practices
• Previous experience as a Business Intelligence (BI) Consultant, with strong understanding of analytics and reporting
• Hands-on experience with data governance and metadata management tools, such as: Microsoft Purview, DataHub, OpenMetadata, or Apache Atlas
• Familiarity with Microsoft Business Central and its data structure
• Exposure to various reporting platforms such as: Tableau, Domo, Sigma, Superset, etc