Agile Programming Methodologies, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Backlog Prioritization, Best Practices, Business Intelligence, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Management, Data Modeling, Data Visualization, Documentation, Ecosystems, Insurance, Microsoft Windows Azure, Performance Analysis, Performance Tuning/Optimization, Power BI, Reporting Dashboards, SQL (Structured Query Language), Scrum Project Management and Software Development, Sprint Planning, Storytelling, Systems Engineering, Team Player, Usability Engineering, Use Cases
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Job Title: Senior Data Analytics Engineer
Key Skills: Power BI, SQL, Azure Databricks, DAX, Power Query, Data Modeling, BI Governance, Azure Data Factory, Synapse, Analytics
Experience: +5 YOE.
Location: Peru
Mode: Remote.
We at Coforge are hiring Senior Data Analytics Engineer (#19748) with the following skill set.
Key Responsibilities
- Lead the migration of dashboards, reports, and analytics solutions from ThoughtSpot to Power BI while aligning with enterprise BI standards.
- Design, develop, and optimize Power BI reports, reusable data models, semantic layers, and self-service analytics capabilities.
- Collaborate with data engineering and business teams to ensure reliable data pipelines, governance, usability, and enterprise reporting performance.
- Drive BI best practices, stakeholder enablement, documentation, training, and Agile delivery across analytics initiatives.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent practical experience.
- 5+ years of experience in BI, reporting, or data analytics development.
- Strong expertise in Power BI, including DAX, Power Query, data modeling, report optimization, and performance tuning.
- Solid SQL skills with hands-on experience querying Azure Databricks environments.
- Strong understanding of data visualization best practices, storytelling with data, and business-focused reporting.
- Experience with BI governance, security, role-based access, and enterprise analytics best practices.
- Familiarity with Power BI Service administration, APIs, deployment pipelines, and CI/CD for BI ecosystems.
- Experience working in Agile/Scrum environments, including sprint planning, backlog management, and collaborative ceremonies.
- Exposure to Azure cloud data integration services such as Azure Data Factory or Synapse and modern data stack concepts including dbt.
- Strong communication, stakeholder management, and analytical skills with the ability to translate complex insights into business-friendly narratives.
Preferred Skills:
- Experience with ThoughtSpot for dashboards, reports, or search-driven analytics.
- Familiarity with insurance domain processes, terminology, and analytics use cases.
- Exposure to AI/ML-driven insights integrated into dashboards and reporting solutions.
- Experience working with Databricks medallion architecture and semantic layer concepts.
Posted On: 14-05-2026
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.