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
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- Modernize and standardize the enterprise reporting platform by migrating legacy dashboards and reports to the strategic analytics platform.
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- Establish the analytics foundation by extending curated and aggregated data layers to support enterprise reporting and analytics.
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- Design reusable metrics, KPIs, dimensional models, semantic models, and certified dashboards.
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- Partner with Data Engineering to identify and implement new analytical datasets and business logic.
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- Collaborate with Data Stewards to define business metadata, data definitions, ownership, and governance.
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- Implement reporting standards, dashboard certification, and analytics best practices.
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- Optimize report performance, usability, and scalability.
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- Support AI-ready analytics by building trusted semantic models consumable by dashboards and AI agents.
Required Qualifications
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- 6+ years of experience in Business Intelligence, Analytics Engineering, or Data Engineering.
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- Proven experience modernizing enterprise reporting platforms and migrating legacy reporting solutions.
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- Experience establishing analytics foundations including aggregated data layers, reusable metrics, KPIs, semantic models, and dashboards.
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- Strong SQL and dimensional modeling expertise.
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- Experience partnering with Data Stewards to establish business metadata, glossary, and
📌 Business Intelligence Engineer (Cancún)
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📍 Cancún