Senior Data Analytics Engineer
*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-6a05dcbd-c934-83e9-88e6-d230480f8a93-5" data-turn-id-container="request-6a05dcbd-c934-83e9-88e6-d230480f8a93-5" data-testid="conversation-turn-70" data-scroll-anchor="false" data-turn="assistant"> 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 (Power BI) (#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. Apply To This Job