Senior Data Analytics Engineer

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.

• 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