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The BI Consultant is responsible for designing, building, and maintaining robust data models and transformation logic that power reliable business intelligence and reporting. The role focuses on SQL‑based data transformation, relational modeling, and ETL processes to ensure high data quality, consistent business logic, and scalable analytics solutions. Working closely with BI developers and business stakeholders, this position translates business requirements into well‑structured, performant data models that support reporting and decision‑making.
Job Responsibility
Write, maintain, and continuously optimize SQL‑based code for data transformation and reporting
Refactor and improve existing SQL logic to enhance performance, readability, and scalability
Design, build, and maintain relational data models to support BI and analytics use cases
Construct and manage dimensions, measures, and calculated fields within relational models
Ensure consistency, accuracy, and reuse of business logic across datasets, models, and reports
Collaborate with BI developers and business stakeholders to translate requirements into data structures and calculations
Develop, maintain, and enhance ETL processes for ingesting and transforming data from multiple sources
Monitor, troubleshoot, and resolve ETL job failures or performance issues
Validate and test data pipelines and models to ensure high data quality and integrity
Document data models, transformations, and definitions to support transparency, governance, and reuse
Requirements
Strong SQL expertise with a focus on performance tuning and scalable query design
Solid experience with relational data modeling (facts, dimensions, star/snowflake schemas)
Experience designing and maintaining ETL processes
Ability to define and implement consistent business logic in data models
Strong data validation, testing, and troubleshooting skills
Understanding of business intelligence concepts, KPIs, and analytical use cases
Experience supporting reporting and analytics tools through well‑structured data models
Ability to bridge business requirements and technical implementation
Strong collaboration skills and ability to work with both technical and non‑technical stakeholders
Structured and detail‑oriented approach to data quality, documentation, and maintainability
Problem‑solving mindset with a focus on continuous improvement
Nice to have
Experience with modern BI platforms and data warehousing environments
Familiarity with ERP or enterprise data domains (finance, sales, supply chain, operations)
Exposure to data governance, naming standards, and best‑practice BI architecture