Business Intelligence Engineer
encora10 · Mexico
Experience: 6+ years
Job Title: Business Intelligence
Key Skills: SQL, Power BI, Tableau, or similar.
Experience: 6+ years
Location Mexico
Mode: Remote
We at Coforge are hiring Position (22739) with the following skill set.
The Analytics Engineer is responsible for modernizing the enterprise reporting ecosystem and establishing a scalable analytics foundation that enables trusted business intelligence, self-service analytics, and AI-driven insights. This role partners closely with Data Platform, Product, Business, and AI teams to extend analytical data models, standardize reporting, and build reusable semantic assets.
## Responsibilities
• Modernize and standardize the enterprise reporting platform by migrating legacy dashboards and reports to the strategic analytics platform.
• Establish the analytics foundation by extending curated and aggregated data layers to support enterprise reporting and analytics.
• Design reusable metrics, KPIs, dimensional models, semantic models, and certified dashboards.
• Partner with Data Engineering to identify and implement new analytical datasets and business logic.
• Collaborate with Data Stewards to define business metadata, data definitions, ownership, and governance.
• Implement reporting standards, dashboard certification, and analytics best practices.
• Optimize report performance, usability, and scalability.
• Support AI-ready analytics by building trusted semantic models consumable by dashboards and AI agents.
## Required Qualifications
• 6+ years of experience in Business Intelligence, Analytics Engineering, or Data Engineering.
• Proven experience modernizing enterprise reporting platforms and migrating legacy reporting solutions.
• Experience establishing analytics foundations including aggregated data layers, reusable metrics, KPIs, semantic models, and dashboards.
• Strong SQL and dimensional modeling expertise.
• Experience partnering with Data Stewards to establish business metadata, glossary, and governance.
• Experience working with modern cloud data platforms and enterprise BI tools.
• Excellent stakeholder management and communication skills.
## Preferred Qualifications
• Working knowledge of Business Intelligence tools such as Power BI, Tableau, or similar.
• Hands on experience with Metrics, KPIs, Dashboards and Insights.
• Experience of Strategy (formerly known as MicroStrategy) Business Intelligence platform is a big plus.
• Experience with enterprise semantic layers; knowledge of ontology is a plus.
• Experience supporting Analytical Agentic AI use cases and Generative BI initiatives is a plus.
Posted On: August 3, 2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Key Skills: SQL, Power BI, Tableau, or similar.
Experience: 6+ years
Location Mexico
Mode: Remote
We at Coforge are hiring Position (22739) with the following skill set.
The Analytics Engineer is responsible for modernizing the enterprise reporting ecosystem and establishing a scalable analytics foundation that enables trusted business intelligence, self-service analytics, and AI-driven insights. This role partners closely with Data Platform, Product, Business, and AI teams to extend analytical data models, standardize reporting, and build reusable semantic assets.
## Responsibilities
• Modernize and standardize the enterprise reporting platform by migrating legacy dashboards and reports to the strategic analytics platform.
• Establish the analytics foundation by extending curated and aggregated data layers to support enterprise reporting and analytics.
• Design reusable metrics, KPIs, dimensional models, semantic models, and certified dashboards.
• Partner with Data Engineering to identify and implement new analytical datasets and business logic.
• Collaborate with Data Stewards to define business metadata, data definitions, ownership, and governance.
• Implement reporting standards, dashboard certification, and analytics best practices.
• Optimize report performance, usability, and scalability.
• Support AI-ready analytics by building trusted semantic models consumable by dashboards and AI agents.
## Required Qualifications
• 6+ years of experience in Business Intelligence, Analytics Engineering, or Data Engineering.
• Proven experience modernizing enterprise reporting platforms and migrating legacy reporting solutions.
• Experience establishing analytics foundations including aggregated data layers, reusable metrics, KPIs, semantic models, and dashboards.
• Strong SQL and dimensional modeling expertise.
• Experience partnering with Data Stewards to establish business metadata, glossary, and governance.
• Experience working with modern cloud data platforms and enterprise BI tools.
• Excellent stakeholder management and communication skills.
## Preferred Qualifications
• Working knowledge of Business Intelligence tools such as Power BI, Tableau, or similar.
• Hands on experience with Metrics, KPIs, Dashboards and Insights.
• Experience of Strategy (formerly known as MicroStrategy) Business Intelligence platform is a big plus.
• Experience with enterprise semantic layers; knowledge of ontology is a plus.
• Experience supporting Analytical Agentic AI use cases and Generative BI initiatives is a plus.
Posted On: August 3, 2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.