Leads migration of ThoughtSpot dashboards and workflows to Power BI, designing semantic data models, reports, visualizations, and self-service analytics capabilities. Partners with data engineering and business teams to ensure reliable data, optimize performance, security, and governance, and translate complex information into actionable insights. Supports BI modernization, Agile delivery, user enablement, documentation, and potential AI/ML dashboard integrations.
Job Title: Senior Data Analytics Engineer
Key Skills: Power BI, DAX, Power Query, SQL, Azure Databricks, Data Modeling, Business Intelligence, Azure Data Factory, Azure Synapse, dbt, Data Visualization, BI Governance, CI/CD, Agile, ThoughtSpot
Experience: 5+ years of experience.
Location: LATAM
Work Modality: Remote.
At Coforge, we are looking for a Senior Data Analytics Engineer (22856) with the following profile.
Main Responsibilities- Lead the migration of dashboards, reports, and visualizations from ThoughtSpot to Power BI.
- Translate existing ThoughtSpot workflows into optimized Power BI reports aligned with enterprise data standards and best practices.
- Design, develop, and maintain reusable data models and semantic layers that enable self-service analytics capabilities.
- Partner with Data Engineering teams to ensure clean, reliable, and scalable data sources are available within Power BI.
- Optimize report performance, usability, governance, and security for global business stakeholders.
- Collaborate with business teams to gather reporting requirements and transform complex data into meaningful insights.
- Train and onboard users into the Power BI ecosystem, driving adoption and analytics maturity across the organization.
- Contribute to Business Intelligence standards, best practices, documentation, and governance initiatives.
- Participate actively in Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives.
- Develop impactful visualizations and data storytelling solutions to support business decision-making.
- Support enterprise reporting modernization initiatives and BI platform consolidation projects.
- Collaborate on the integration of AI/ML-driven insights into dashboards and analytics platforms where applicable.
- 5+ years of experience in Business Intelligence, Data Analytics, Reporting Development, or related disciplines.
- Strong expertise in Power BI, including DAX, Power Query, data modeling, performance tuning, and report optimization.
- Advanced SQL skills and hands-on experience querying Azure Databricks environments.
- Proven experience designing enterprise-grade dashboards, reports, and visual analytics solutions.
- Strong understanding of data visualization best practices and storytelling with data.
- Knowledge of BI governance, security frameworks, and role-based access controls.
- Experience working within Agile/Scrum environments, including active participation in sprint ceremonies and iterative delivery models.
- Experience with Power BI Service Administration, APIs, deployment pipelines, and CI/CD processes for enterprise BI environments.
- Experience working within the insurance industry, with familiarity in insurance processes, metrics, and business terminology.
- Strong communication skills with the ability to translate complex technical findings into business-friendly insights and recommendations.
- Ability to quickly understand and navigate complex data models and business processes.
- Experience working with Databricks Medallion Architecture and semantic data layers.
- Excellent stakeholder management, collaboration, and presentation skills.
- Advanced English proficiency (B2+/C1).
- Hands-on experience with ThoughtSpot, including dashboard creation, reporting, and search-driven analytics.
- Previous experience leading BI migration projects or cross-platform reporting consolidation initiatives.
- Knowledge of dbt and modern data stack architectures.
- Experience with Azure Data Factory and Azure Synapse Analytics.
- Familiarity with integrating AI/ML-driven insights into dashboards and analytical solutions.
- Experience supporting global teams and enterprise-scale analytics environments.
- Knowledge of data governance, analytics modernization, and cloud-based BI ecosystems.
Published on: 19-08-2026
At Coforge, we hire professionals solely based on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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