Coforge
SeniorDataAnalyticsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analytics Engineer at Coforge. Skills: Power BI, SQL, Azure Databricks, DAX, Power Query, Data Modeling, BI Governance, Azure Data Factory, Synapse, Analytics. 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”
Industry & Context.
analytical skills
What They're Looking For.
Must Have
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, Solid SQL skills, expertise in Power BI, including DAX, Power Query, data modeling, report optimization, and performance tuning, 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, Experience working in Agile/Scrum environments, including sprint planning, backlog management, and collaborative ceremonies
Nice to Have
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
What You'll Do.
Lead the migration of dashboards
and analytics solutions from ThoughtSpot to Power BI while aligning with enterprise BI standards
and optimize Power BI reports
and self-service analytics capabilities
Collaborate with data engineering and business teams to ensure reliable data pipelines
and enterprise reporting performance
Drive BI best practices
stakeholder enablement
and Agile delivery across analytics initiatives
How You'll Work.
Team & Collaboration
Collaborate with data engineering and business teams; stakeholder management
Communication Scope
communication; stakeholder management; ability to translate complex insights into business-friendly narratives; storytelling with data; business-focused reporting
Process & Methodology
Agile/Scrum environments, sprint planning, backlog management, collaborative ceremonies
Full Job Description
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: Costa Rica 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 comp
Applying for this Senior Data Analytics Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Coforge?
Real rants from real employees. Read before you apply.