Business Intelligence Engineer
- Role
- Data Engineering
- Experience
- Senior
Open to MX only. Set where you work from to check your eligibility.
No BS summary
Business Intelligence / Analytics Engineer with 6+ years in BI, Analytics Engineering, or Data Engineering. Must be Mexico-based remote and strong in SQL, dimensional modeling, enterprise reporting modernization, semantic models, and cloud data platforms.
Core skills
Optional skills
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.
What you'll do
- 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.
What they require
- 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: Working knowledge of Business Intelligence tools such as Power BI, Tableau, or similar.
- Preferred: Hands on experience with Metrics, KPIs, Dashboards and Insights.
- Preferred: Experience of Strategy (formerly known as MicroStrategy) Business Intelligence platform is a big plus.
- Preferred: Experience with enterprise semantic layers; knowledge of ontology is a plus.
- Preferred: Experience supporting Analytical Agentic AI use cases and Generative BI initiatives is a plus.
At Coforge, we hire professionals solely based on their skills and qualifications, and we do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
What people say about this company
3.6/ 5