Business Intelligence Analyst – Data Engineering Specialist

Tigunia

Business Intelligence Analyst specializing in data engineering and warehouse modeling for Tigunia. Focused on building scalable data infrastructure and collaborating with clients.

Posted 7/3/2026full-timeRemote • Arizona • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data warehouse models, utilizing Python and SQL for data transformation, and applying dimensional modeling principles. Proficient in leading client engagements and ensuring data governance practices are adhered to throughout the data engineering process.

Highest-signal resume keywords

Data EngineeringPython ProgrammingSQL ProficiencyDimensional ModelingGitHub Version Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Warehouse ModelingData TransformationETL DevelopmentData Pipeline MaintenanceData Quality Troubleshooting

Soft Skills

Client EngagementCollaborationRequirements Gathering

Tools & Technologies

Power BIJet ReportsMage.AIDbtMicrosoft SQL ServerSnowflakeMicrosoft Fabric

Industry Keywords

ERP Data StructuresKimball MethodologyData GovernanceModeling Standards

Tech Stack

Tools & technologies

ERPETLMS SQL ServerPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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