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.

Responsibilities

* 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

Skills, Knowledge & Expertise

Core Technical Skills:

* 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

BI & Analytics Knowledge:

* 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

Ways of Working:

* 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