Business Intelligence Analyst – Data Engineering Specialist

Job not on LinkedIn

🕒 July 3

🌵 Arizona – Remote

🌵 Arizona – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Business Intelligence Developer

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Tigunia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2007

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

<Tigunia> is a Microsoft-focused full-service technology solutions and services firm specializing in implementing, integrating, and supporting Microsoft Dynamics 365 Business Central, Dynamics 365 CRM, Power Platform, and BI solutions. The company also provides custom development, Microsoft Dynamics NAV upgrades, data center hosting, infrastructure monitoring, VoIP telecom solutions, add-on apps (sales tax, royalties, Shopify integration), IT consulting, data backup and disaster recovery, and IT security services for small- and medium-sized businesses across industries like distribution, retail/ecommerce, manufacturing, nonprofit, and professional services.

📋 Description

• 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 BI and 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

🏖️ Benefits

• Health insurance for yourself and your family – 100% employer paid for employee and 50% employer paid for dependents • Dental and Vision insurance for yourself and your family – 100% employer paid for employee and dependents • Life/AD&D Insurance for yourself – 100% employer paid and covers 100% of your salary • Short Term Disability for yourself – 100% employer paid and covers 60% of your weekly salary • Long Term Disability for yourself – 100% employer paid and covers 60% of your monthly salary • 401k with 4% match • Flex-time and paid time off to promote a healthy work-life balance