JOB DETAILS

Business Intelligence Engineer

CompanyEncora
LocationMexico
Work ModeRemote
PostedAugust 6, 2026
About The Company
Coforge announces the successful closure of the Encora acquisition. Coforge is an AI-native engineering services leader, where AI is the very foundation of how we design, build, and deliver intelligent solutions for our clients. We use AI and hyperspecialized industry expertise to engineer autonomous enterprises. We combine AI agents with our AI-enabled workforce, including specialized FDEs in hybrid pod-based delivery units. With a deep focus on trusted AI, our solutions are secure, governed, and enterprise-grade. We are outcome-led by design. Moving beyond AI experimentation, we deliver measurable business outcomes – lower operating costs, faster cycle times, higher conversion rates, and sustained margin growth.
About the Role

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
SQLPower BITableauMicroStrategyDimensional ModelingData EngineeringBusiness IntelligenceAnalytics EngineeringData GovernanceSemantic ModelingCloud Data PlatformsGenerative BIStakeholder ManagementMetadata ManagementKPI Development
Categories
Data & AnalyticsTechnologySoftwareEngineeringConsulting
Job Information
📋Core Responsibilities
The Analytics Engineer will modernize the enterprise reporting ecosystem by migrating legacy dashboards and establishing a scalable analytics foundation. This role involves collaborating with cross-functional teams to design reusable metrics, semantic models, and AI-ready analytical datasets.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
6820
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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